{"id":12026876100948,"title":"Módulo MXM NVIDIA RTX 3500 Ada 12GB GDDR6 4x DP","handle":"mx3500a-sa-mxm-nvidia-rtx-3500-ada-12gb-gddr6","description":"\u003cdiv id=\"buildify\" class=\"buildify buildify-12026876100948\"\u003e\u003cdiv class=\"bdf-innr\"\u003e \u003cdiv class=\"bdf-s-wrp\"\u003e \u003csection data-id=\"zloubwe\" class=\"bdf-e bdf-e-zloubwe bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-top-s\" data-el=\"section\"\u003e \u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e \u003cdiv class=\"bdf-r\"\u003e \u003cdiv data-id=\"ybhwctk\" class=\"bdf-e bdf-e-ybhwctk bdf-c bdf-c-s-100 bdf-top-c\" data-el=\"column\"\u003e \u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e \u003cdiv class=\"bdf-w-wrp\"\u003e \u003cdiv data-id=\"sjqqotc\" class=\"bdf-e bdf-e-sjqqotc bdf-w bdf-w-heading\" data-el=\"heading.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003ch2 class=\"bdf-h-t bdf-sz-large\"\u003eMX3500A-SA\u003c\/h2\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv data-id=\"enqaxye\" class=\"bdf-e bdf-e-enqaxye bdf-w bdf-w-heading\" data-el=\"heading.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003ch2 class=\"bdf-h-t bdf-sz-medium\"\u003eMXM-B NVIDIA RTX 3500 ADA Gen 4.0 x16 12GB GDDR6 4x DP 115W \/ 80W\u003c\/h2\u003e \u003c\/div\u003e \u003c\/div\u003e \u003csection data-id=\"idoasav\" class=\"bdf-e bdf-e-idoasav bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-inner-s\" data-el=\"section\"\u003e \u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e \u003cdiv class=\"bdf-r\"\u003e \u003cdiv data-id=\"blvrrco\" class=\"bdf-e bdf-e-blvrrco bdf-c bdf-c-s-100 bdf-inner-c\" data-el=\"column\"\u003e \u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e \u003cdiv class=\"bdf-w-wrp\"\u003e \u003cdiv data-id=\"hcpohoo\" class=\"bdf-e bdf-e-hcpohoo bdf-w bdf-w-text-editor\" data-el=\"text-editor.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-txt-edt bdf-clr\"\u003e\u003cp\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003e• GPU NVIDIA RTX 3500 Ada Generation Embedded baseado na arquitetura NVIDIA Ada Lovelace\u003c\/span\u003e\u003cbr\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003e• 5120 núcleos CUDA, 40 núcleos RT e 160 núcleos Tensor, 12 GB de memória GDDR6\u003c\/span\u003e\u003cbr\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003e• Interface PCIe Gen 4 x16\u003c\/span\u003e\u003cbr\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003e• Desempenho máximo do FP32 de 23,04 TFLOPS\u003c\/span\u003e\u003cbr\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003e• Suporte ao Código de Correção de Erros (ECC)\u003c\/span\u003e\u003c\/p\u003e\u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/section\u003e \u003cdiv data-id=\"ldsjqxo\" class=\"bdf-e bdf-e-ldsjqxo bdf-tbs-v-horizontal bdf-w bdf-w-tabs\" data-el=\"tabs.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-tbs bdf-rcv-tb-w\" role=\"tablist\"\u003e \u003cdiv class=\"bdf-tbs-wrp\" role=\"tab\"\u003e \u003cdiv class=\"bdf-tb-t bdf-tb-dt-t\" data-tab=\"1\"\u003eVisão Geral\u003c\/div\u003e \u003cdiv class=\"bdf-tb-t bdf-tb-dt-t\" data-tab=\"2\"\u003eEspecificações\u003c\/div\u003e \u003cdiv class=\"bdf-tb-t bdf-tb-dt-t\" data-tab=\"3\"\u003eDimensões\u003c\/div\u003e \u003cdiv class=\"bdf-tb-t bdf-tb-dt-t\" data-tab=\"4\"\u003eDownloads\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"bdf-tbs-cnt-wrp bdf-rcv-tb-wrp\" role=\"tabpanel\"\u003e \u003cdiv class=\"bdf-tb\"\u003e \u003cdiv class=\"bdf-tb-t bdf-tb-ph-t\" data-tab=\"1\"\u003eVisão Geral\u003c\/div\u003e \u003cdiv class=\"bdf-rcv-tb-cnt bdf-tb-cnt bdf-s-wrp bdf-clr bdf-rptr-itm-7vgp5wl\" data-tab=\"1\"\u003e \u003csection data-id=\"gknkpwl\" class=\"bdf-e bdf-e-gknkpwl bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-inner-s\" data-el=\"section\"\u003e \u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e \u003cdiv class=\"bdf-r\"\u003e \u003cdiv data-id=\"umbsmxu\" class=\"bdf-e bdf-e-umbsmxu bdf-c bdf-c-s-100 bdf-top-c\" data-el=\"column\"\u003e \u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e \u003cdiv class=\"bdf-w-wrp\"\u003e \u003cdiv data-id=\"hijfxfm\" class=\"bdf-e bdf-e-hijfxfm bdf-w bdf-w-text-editor\" data-el=\"text-editor.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-txt-edt bdf-clr\"\u003e\n\u003cp class=\"w1\"\u003eThe MX3500A-SA MXM 3.1 Type B module features an NVIDIA RTX 3500 Ada Generation Embedded GPU based on the NVIDIA Ada Lovelace architecture. This architecture delivers revolutionary ray tracing and AI performance for graphics and neural networks. With dramatically higher baseline performance tailored for ray tracing and neural graphics workloads, it marks a major advancement in capabilities. The module enables outstanding gaming, content creation, professional graphics, AI acceleration, and compute power.\u003c\/p\u003e\n\u003cdiv\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\u003ctd class=\"w2\"\u003e\u003cp\u003e\u003cstrong\u003e● Advanced GPU engine compared to Ampere Architecture\u003c\/strong\u003e\u003c\/p\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd class=\"w3\"\u003ePowered by the NVIDIA RTX 3500 Ada Generation Embedded GPU featuring the NVIDIA Ada Lovelace architecture, the MX3500A-SP module delivers higher performance from its Ray Tracing and Tensor cores compared to GPUs built on the previous architecture. This enables more advanced ray traced graphics and AI capabilities.\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd class=\"w2\"\u003e\u003cp\u003e\u003cstrong\u003e● Supports Error Correction Code(ECC)\u003c\/strong\u003e\u003c\/p\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd class=\"w3\"\u003eECC provides higher reliability for compute applications that are sensitive to data corruption, especially important in large-scale cluster computing environments where GPUs process extremely large datasets and\/or run applications for extended periods.\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd class=\"w2\"\u003e\u003cp\u003e\u003cstrong\u003e● PCIe Gen 4 x16 interface\u003c\/strong\u003e\u003c\/p\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd class=\"w3\"\u003ePCIe Gen 4 interface in Ada Lovelace Architecture GPUs delivers faster sequential data transfer than PCIe Gen 3 interface. The increased throughput unlocks higher performance, lower latency and better scalability in Ada Lovelace architecture over previous generations.\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd class=\"w2\"\u003e\u003cp\u003e\u003cstrong\u003e● Conformal coating optional service for rugged applications\u003c\/strong\u003e\u003c\/p\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd class=\"w3\"\u003eFor all series of MXM modules, Aetina offers conformal coating optional service, suitable for harsh environments such as massive-computing embedded applications.\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd class=\"w2\"\u003e\u003cp\u003e\u003cstrong\u003e● 5-year long-term supply\u003c\/strong\u003e\u003c\/p\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd class=\"w3\"\u003eDuring long development period, Aetina ensures MXM modules with 5-year availability and exclusive technical support, helping customers to save maintenance cost and time.\u003c\/td\u003e\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/div\u003e\n\u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/section\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"bdf-tb\"\u003e \u003cdiv class=\"bdf-tb-t bdf-tb-ph-t\" data-tab=\"2\"\u003eEspecificações\u003c\/div\u003e \u003cdiv class=\"bdf-rcv-tb-cnt bdf-tb-cnt bdf-s-wrp bdf-clr bdf-rptr-itm-q5f8uvb\" data-tab=\"2\"\u003e \u003csection data-id=\"fbtbdze\" class=\"bdf-e bdf-e-fbtbdze bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-top-s\" data-el=\"section\"\u003e \u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e \u003cdiv class=\"bdf-r\"\u003e \u003cdiv data-id=\"zlzqprt\" class=\"bdf-e bdf-e-zlzqprt bdf-c bdf-c-s-100 bdf-top-c\" data-el=\"column\"\u003e \u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e \u003cdiv class=\"bdf-w-wrp\"\u003e \u003cdiv data-id=\"yichhob\" class=\"bdf-e bdf-e-yichhob bdf-w bdf-w-text-editor\" data-el=\"text-editor.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-txt-edt bdf-clr\"\u003e\u003ctable cellspacing=\"0\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#C1DB81\"\u003e\u003cp class=\"s4\"\u003eModel Number\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" colspan=\"2\" bgcolor=\"#C1DB81\"\u003e\u003cp class=\"s4\"\u003eMX3500A-SA\u003c\/p\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#C1DB81\"\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp class=\"s5\"\u003eGPU Engine Specs\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#F1F1F1\"\u003e\n\u003cp class=\"s6\"\u003eNVIDIA RTX 3500 Ada Generation Embedded GPU Architecture: NVIDIA Ada Lovelace\u003c\/p\u003e\n\u003cp class=\"s6\"\u003eCUDA Cores: 5120\u003c\/p\u003e\n\u003cp class=\"s6\"\u003eTensor Cores: 160\u003c\/p\u003e\n\u003cp class=\"s6\"\u003eRT Cores: 40\u003c\/p\u003e\n\u003cp class=\"s6\"\u003eFloating Point Performance: 20.42 TFLOPS Core Clock (MHz): Base= 1470 \/ Boost= 1995\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#F1F1F1\"\u003e\n\u003cp class=\"s6\"\u003eNVIDIA RTX 3500 Ada Generation Embedded GPU Architecture: NVIDIA Ada Lovelace\u003c\/p\u003e\n\u003cp class=\"s6\"\u003eCUDA Cores: 5120\u003c\/p\u003e\n\u003cp class=\"s6\"\u003eTensor Cores: 160\u003c\/p\u003e\n\u003cp class=\"s6\"\u003eRT Cores: 40\u003c\/p\u003e\n\u003cp class=\"s6\"\u003eFloating Point Performance: 23.04 TFLOPS Core Clock (MHz): Base= 1725 \/ Boost= 2250\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#C1DB81\"\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp class=\"s5\"\u003eMemory Specs\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" colspan=\"2\" bgcolor=\"#E7E6E6\"\u003e\n\u003cp class=\"s6\"\u003eSize: 12GB GDDR6\u003c\/p\u003e\n\u003cp class=\"s6\"\u003eSpeed: 18 Gbps Interface Width: 192-bit Bandwidth (GB\/sec): 432\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#C1DB81\"\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp class=\"s5\"\u003eFeature Support\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" colspan=\"2\" bgcolor=\"#F1F1F1\"\u003e\n\u003cp class=\"s6\"\u003ePCI Express 4.0 x16 DirectX: 12 Ultimate\u003c\/p\u003e\n\u003cp class=\"s6\"\u003eOpen GL 4.6\u003c\/p\u003e\n\u003cp class=\"s6\"\u003eVulkan 1.2\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#C1DB81\"\u003e\u003cp class=\"s5\"\u003eDisplay\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" colspan=\"2\" bgcolor=\"#E7E6E6\"\u003e\u003cp class=\"s6\"\u003eResolution: 7680x4320\u003cspan class=\"s8\"\u003e1 \u003c\/span\u003eMax: 4x DisplayPort 1.4a\u003c\/p\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#C1DB81\"\u003e\u003cp class=\"s5\"\u003ePower Consumption\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#F1F1F1\"\u003e\u003cp class=\"s6\"\u003eTotal Graphics Power (TGP): 80 W\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#F1F1F1\"\u003e\u003cp class=\"s6\"\u003eTotal Graphics Power (TGP): 115 W\u003c\/p\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#C1DB81\"\u003e\u003cp class=\"s5\"\u003eForm Factor\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" colspan=\"2\" bgcolor=\"#E7E6E6\"\u003e\u003cp class=\"s6\"\u003eMXM Graphics Module Version 3.1, Type B\u003c\/p\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#C1DB81\"\u003e\u003cp class=\"s5\"\u003eDimensions (WxD)\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" colspan=\"2\" bgcolor=\"#F1F1F1\"\u003e\u003cp class=\"s6\"\u003e82.0 x 105.0 mm (3.22” x4.13”)\u003c\/p\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#C1DB81\"\u003e\u003cp class=\"s5\"\u003eNet Weight\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" colspan=\"2\" bgcolor=\"#E7E6E6\"\u003e\u003cp class=\"s6\"\u003e0.0592 kg (0.1305 lb)\u003c\/p\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#C1DB81\"\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp class=\"s5\"\u003eTemperature\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#F1F1F1\"\u003e\u003cp class=\"s6\"\u003eStandard: Operating Temp. :0 to + 55\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eC (32\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eF ~131\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eF )\/ Extended Operating Temp. :-40 to + 70\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eC (-40\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eF ~158\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eF) \/ Storage Temperature: -40 to + 85\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eC (- 40\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eF ~ 185\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eF)\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#F1F1F1\"\u003e\u003cp class=\"s6\"\u003eStandard: Operating Temp. :0 to + 55\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eC (32\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eF ~131\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eF )\/ Storage Temperature: -40 to + 85\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eC (- 40\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eF ~ 185\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eF)\u003c\/p\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#C1DB81\"\u003e\u003cp class=\"s5\"\u003eHumidity\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" colspan=\"2\" bgcolor=\"#E7E6E6\"\u003e\u003cp class=\"s6\"\u003e40\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eC @ 95%, Non-condensing\u003c\/p\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#C1DB81\"\u003e\u003cp class=\"s5\"\u003eOS Support\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" colspan=\"2\" bgcolor=\"#F1F1F1\"\u003e\u003cp class=\"s6\"\u003eWindows 10\/11 64-bit \/ Linux 64-bit\u003c\/p\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#C1DB81\"\u003e\u003cp class=\"s5\"\u003eCertification\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" colspan=\"2\" bgcolor=\"#E7E6E6\"\u003e\u003cp class=\"s6\"\u003eCE\/FCC\/UKCA\u003c\/p\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/section\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"bdf-tb\"\u003e \u003cdiv class=\"bdf-tb-t bdf-tb-ph-t\" data-tab=\"3\"\u003eDimensões\u003c\/div\u003e \u003cdiv class=\"bdf-rcv-tb-cnt bdf-tb-cnt bdf-s-wrp bdf-clr bdf-rptr-itm-3xre7ju\" data-tab=\"3\"\u003e \u003csection data-id=\"ajdxjko\" class=\"bdf-e bdf-e-ajdxjko bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-top-s\" data-el=\"section\"\u003e \u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e \u003cdiv class=\"bdf-r\"\u003e \u003cdiv data-id=\"mwif03k\" class=\"bdf-e bdf-e-mwif03k bdf-c bdf-c-s-100 bdf-top-c\" data-el=\"column\"\u003e \u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e \u003cdiv class=\"bdf-w-wrp\"\u003e \u003cdiv data-id=\"b0iwr4z\" class=\"bdf-e bdf-e-b0iwr4z bdf-w bdf-w-image\" data-el=\"image.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-img\"\u003e \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1913\/0443\/t\/32\/assets\/Aetina_MX3500A-SA_draw.jpg?v=1747907044\" title=\"MX3500A-SA dimensões\" alt=\"Aetina_MX3500A-SA_draw\" loading=\"lazy\"\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/section\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"bdf-tb\"\u003e \u003cdiv class=\"bdf-tb-t bdf-tb-ph-t\" data-tab=\"4\"\u003eDownloads\u003c\/div\u003e \u003cdiv class=\"bdf-rcv-tb-cnt bdf-tb-cnt bdf-s-wrp bdf-clr bdf-rptr-itm-y94g1tg\" data-tab=\"4\"\u003e \u003csection data-id=\"svntksm\" class=\"bdf-e bdf-e-svntksm bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-inner-s\" data-el=\"section\"\u003e \u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e \u003cdiv class=\"bdf-r\"\u003e \u003cdiv data-id=\"obldwrx\" class=\"bdf-e bdf-e-obldwrx bdf-c bdf-c-s-100 bdf-top-c\" data-el=\"column\"\u003e \u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e \u003cdiv class=\"bdf-w-wrp\"\u003e \u003cdiv data-id=\"zpshnmg\" class=\"bdf-e bdf-e-zpshnmg bdf-w bdf-w-button\" data-el=\"button.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-btn-wrp\"\u003e \u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1913\/0443\/files\/Aetina_MX3500A-SA_datasheet.pdf?v=1747906087\" class=\"bdf-btn-link bdf-btn bdf-sz-md\" target=\"_blank\"\u003e \u003cspan class=\"bdf-btn-cnt-wrp\"\u003e \u003cspan class=\"bdf-aln-icon-right bdf-btn-icon\"\u003e \u003ci class=\"fa fa-angle-right\"\u003e\u003c\/i\u003e \u003c\/span\u003e \u003cspan class=\"bdf-btn-text\"\u003eDatasheet\u003c\/span\u003e \u003c\/span\u003e \u003c\/a\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv data-id=\"3hsqtb1\" class=\"bdf-e bdf-e-3hsqtb1 bdf-w bdf-w-button\" data-el=\"button.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-btn-wrp\"\u003e \u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1913\/0443\/files\/Aetina_MX3500A-SA_series_User_manual_v1.2.pdf?v=1747906088\" class=\"bdf-btn-link bdf-btn bdf-sz-md\" target=\"_blank\"\u003e \u003cspan class=\"bdf-btn-cnt-wrp\"\u003e \u003cspan class=\"bdf-aln-icon-right bdf-btn-icon\"\u003e \u003ci class=\"fa fa-angle-right\"\u003e\u003c\/i\u003e \u003c\/span\u003e \u003cspan class=\"bdf-btn-text\"\u003eManual\u003c\/span\u003e \u003c\/span\u003e \u003c\/a\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/section\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/section\u003e \u003c\/div\u003e \u003c\/div\u003e\u003c\/div\u003e","published_at":"2025-05-22T10:28:25+01:00","created_at":"2025-05-22T10:15:40+01:00","vendor":"Aetina","type":"AI Acceleration Card","tags":[],"price":205088,"price_min":205088,"price_max":308988,"available":true,"price_varies":true,"compare_at_price":null,"compare_at_price_min":0,"compare_at_price_max":0,"compare_at_price_varies":false,"variants":[{"id":51921214210388,"title":"MX3500A-SAA-A1 \/ 115W \/ 0℃~+55℃","option1":"MX3500A-SAA-A1 \/ 115W \/ 0℃~+55℃","option2":null,"option3":null,"sku":"MX3500A-SAA-A1","requires_shipping":true,"taxable":true,"featured_image":{"id":70200624480596,"product_id":12026876100948,"position":1,"created_at":"2025-05-22T10:17:18+01:00","updated_at":"2025-05-22T10:17:24+01:00","alt":null,"width":400,"height":400,"src":"\/\/guedeslopes.pt\/cdn\/shop\/files\/MX3500A-SA_front.png?v=1747905444","variant_ids":[51921214210388,51921214243156,51921366548820]},"available":true,"name":"Módulo MXM NVIDIA RTX 3500 Ada 12GB GDDR6 4x DP - MX3500A-SAA-A1 \/ 115W \/ 0℃~+55℃","public_title":"MX3500A-SAA-A1 \/ 115W \/ 0℃~+55℃","options":["MX3500A-SAA-A1 \/ 115W \/ 0℃~+55℃"],"price":205088,"weight":1000,"compare_at_price":null,"inventory_quantity":0,"inventory_management":null,"inventory_policy":"deny","barcode":"92-33500A-1000","featured_media":{"alt":null,"id":57521006707028,"position":1,"preview_image":{"aspect_ratio":1.0,"height":400,"width":400,"src":"\/\/guedeslopes.pt\/cdn\/shop\/files\/MX3500A-SA_front.png?v=1747905444"}},"requires_selling_plan":false,"selling_plan_allocations":[]},{"id":51921214243156,"title":"MX3500A-SAA-A2 \/ 80W \/ 0℃~+55℃","option1":"MX3500A-SAA-A2 \/ 80W \/ 0℃~+55℃","option2":null,"option3":null,"sku":"MX3500A-SAA-A2","requires_shipping":true,"taxable":true,"featured_image":{"id":70200624480596,"product_id":12026876100948,"position":1,"created_at":"2025-05-22T10:17:18+01:00","updated_at":"2025-05-22T10:17:24+01:00","alt":null,"width":400,"height":400,"src":"\/\/guedeslopes.pt\/cdn\/shop\/files\/MX3500A-SA_front.png?v=1747905444","variant_ids":[51921214210388,51921214243156,51921366548820]},"available":true,"name":"Módulo MXM NVIDIA RTX 3500 Ada 12GB GDDR6 4x DP - MX3500A-SAA-A2 \/ 80W \/ 0℃~+55℃","public_title":"MX3500A-SAA-A2 \/ 80W \/ 0℃~+55℃","options":["MX3500A-SAA-A2 \/ 80W \/ 0℃~+55℃"],"price":205088,"weight":1000,"compare_at_price":null,"inventory_quantity":0,"inventory_management":null,"inventory_policy":"deny","barcode":"92-33500A-1001","featured_media":{"alt":null,"id":57521006707028,"position":1,"preview_image":{"aspect_ratio":1.0,"height":400,"width":400,"src":"\/\/guedeslopes.pt\/cdn\/shop\/files\/MX3500A-SA_front.png?v=1747905444"}},"requires_selling_plan":false,"selling_plan_allocations":[]},{"id":51921366548820,"title":"MX3500A-SAG-A1 \/ 80W \/ -40℃~+70℃","option1":"MX3500A-SAG-A1 \/ 80W \/ -40℃~+70℃","option2":null,"option3":null,"sku":"MX3500A-SAG-A1","requires_shipping":true,"taxable":true,"featured_image":{"id":70200624480596,"product_id":12026876100948,"position":1,"created_at":"2025-05-22T10:17:18+01:00","updated_at":"2025-05-22T10:17:24+01:00","alt":null,"width":400,"height":400,"src":"\/\/guedeslopes.pt\/cdn\/shop\/files\/MX3500A-SA_front.png?v=1747905444","variant_ids":[51921214210388,51921214243156,51921366548820]},"available":true,"name":"Módulo MXM NVIDIA RTX 3500 Ada 12GB GDDR6 4x DP - MX3500A-SAG-A1 \/ 80W \/ -40℃~+70℃","public_title":"MX3500A-SAG-A1 \/ 80W \/ -40℃~+70℃","options":["MX3500A-SAG-A1 \/ 80W \/ -40℃~+70℃"],"price":308988,"weight":1000,"compare_at_price":null,"inventory_quantity":0,"inventory_management":null,"inventory_policy":"deny","barcode":"92-33500A-E000","featured_media":{"alt":null,"id":57521006707028,"position":1,"preview_image":{"aspect_ratio":1.0,"height":400,"width":400,"src":"\/\/guedeslopes.pt\/cdn\/shop\/files\/MX3500A-SA_front.png?v=1747905444"}},"requires_selling_plan":false,"selling_plan_allocations":[]}],"images":["\/\/guedeslopes.pt\/cdn\/shop\/files\/MX3500A-SA_front.png?v=1747905444","\/\/guedeslopes.pt\/cdn\/shop\/files\/MX3500A-SA_back.png?v=1747905444"],"featured_image":"\/\/guedeslopes.pt\/cdn\/shop\/files\/MX3500A-SA_front.png?v=1747905444","options":["Versão"],"media":[{"alt":null,"id":57521006707028,"position":1,"preview_image":{"aspect_ratio":1.0,"height":400,"width":400,"src":"\/\/guedeslopes.pt\/cdn\/shop\/files\/MX3500A-SA_front.png?v=1747905444"},"aspect_ratio":1.0,"height":400,"media_type":"image","src":"\/\/guedeslopes.pt\/cdn\/shop\/files\/MX3500A-SA_front.png?v=1747905444","width":400},{"alt":null,"id":57521006608724,"position":2,"preview_image":{"aspect_ratio":1.0,"height":400,"width":400,"src":"\/\/guedeslopes.pt\/cdn\/shop\/files\/MX3500A-SA_back.png?v=1747905444"},"aspect_ratio":1.0,"height":400,"media_type":"image","src":"\/\/guedeslopes.pt\/cdn\/shop\/files\/MX3500A-SA_back.png?v=1747905444","width":400}],"requires_selling_plan":false,"selling_plan_groups":[],"content":"\u003cdiv id=\"buildify\" class=\"buildify buildify-12026876100948\"\u003e\u003cdiv class=\"bdf-innr\"\u003e \u003cdiv class=\"bdf-s-wrp\"\u003e \u003csection data-id=\"zloubwe\" class=\"bdf-e bdf-e-zloubwe bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-top-s\" data-el=\"section\"\u003e \u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e \u003cdiv class=\"bdf-r\"\u003e \u003cdiv data-id=\"ybhwctk\" class=\"bdf-e bdf-e-ybhwctk bdf-c bdf-c-s-100 bdf-top-c\" data-el=\"column\"\u003e \u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e \u003cdiv class=\"bdf-w-wrp\"\u003e \u003cdiv data-id=\"sjqqotc\" class=\"bdf-e bdf-e-sjqqotc bdf-w bdf-w-heading\" data-el=\"heading.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003ch2 class=\"bdf-h-t bdf-sz-large\"\u003eMX3500A-SA\u003c\/h2\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv data-id=\"enqaxye\" class=\"bdf-e bdf-e-enqaxye bdf-w bdf-w-heading\" data-el=\"heading.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003ch2 class=\"bdf-h-t bdf-sz-medium\"\u003eMXM-B NVIDIA RTX 3500 ADA Gen 4.0 x16 12GB GDDR6 4x DP 115W \/ 80W\u003c\/h2\u003e \u003c\/div\u003e \u003c\/div\u003e \u003csection data-id=\"idoasav\" class=\"bdf-e bdf-e-idoasav bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-inner-s\" data-el=\"section\"\u003e \u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e \u003cdiv class=\"bdf-r\"\u003e \u003cdiv data-id=\"blvrrco\" class=\"bdf-e bdf-e-blvrrco bdf-c bdf-c-s-100 bdf-inner-c\" data-el=\"column\"\u003e \u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e \u003cdiv class=\"bdf-w-wrp\"\u003e \u003cdiv data-id=\"hcpohoo\" class=\"bdf-e bdf-e-hcpohoo bdf-w bdf-w-text-editor\" data-el=\"text-editor.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-txt-edt bdf-clr\"\u003e\u003cp\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003e• GPU NVIDIA RTX 3500 Ada Generation Embedded baseado na arquitetura NVIDIA Ada Lovelace\u003c\/span\u003e\u003cbr\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003e• 5120 núcleos CUDA, 40 núcleos RT e 160 núcleos Tensor, 12 GB de memória GDDR6\u003c\/span\u003e\u003cbr\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003e• Interface PCIe Gen 4 x16\u003c\/span\u003e\u003cbr\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003e• Desempenho máximo do FP32 de 23,04 TFLOPS\u003c\/span\u003e\u003cbr\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003e• Suporte ao Código de Correção de Erros (ECC)\u003c\/span\u003e\u003c\/p\u003e\u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/section\u003e \u003cdiv data-id=\"ldsjqxo\" class=\"bdf-e bdf-e-ldsjqxo bdf-tbs-v-horizontal bdf-w bdf-w-tabs\" data-el=\"tabs.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-tbs bdf-rcv-tb-w\" role=\"tablist\"\u003e \u003cdiv class=\"bdf-tbs-wrp\" role=\"tab\"\u003e \u003cdiv class=\"bdf-tb-t bdf-tb-dt-t\" data-tab=\"1\"\u003eVisão Geral\u003c\/div\u003e \u003cdiv class=\"bdf-tb-t bdf-tb-dt-t\" data-tab=\"2\"\u003eEspecificações\u003c\/div\u003e \u003cdiv class=\"bdf-tb-t bdf-tb-dt-t\" data-tab=\"3\"\u003eDimensões\u003c\/div\u003e \u003cdiv class=\"bdf-tb-t bdf-tb-dt-t\" data-tab=\"4\"\u003eDownloads\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"bdf-tbs-cnt-wrp bdf-rcv-tb-wrp\" role=\"tabpanel\"\u003e \u003cdiv class=\"bdf-tb\"\u003e \u003cdiv class=\"bdf-tb-t bdf-tb-ph-t\" data-tab=\"1\"\u003eVisão Geral\u003c\/div\u003e \u003cdiv class=\"bdf-rcv-tb-cnt bdf-tb-cnt bdf-s-wrp bdf-clr bdf-rptr-itm-7vgp5wl\" data-tab=\"1\"\u003e \u003csection data-id=\"gknkpwl\" class=\"bdf-e bdf-e-gknkpwl bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-inner-s\" data-el=\"section\"\u003e \u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e \u003cdiv class=\"bdf-r\"\u003e \u003cdiv data-id=\"umbsmxu\" class=\"bdf-e bdf-e-umbsmxu bdf-c bdf-c-s-100 bdf-top-c\" data-el=\"column\"\u003e \u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e \u003cdiv class=\"bdf-w-wrp\"\u003e \u003cdiv data-id=\"hijfxfm\" class=\"bdf-e bdf-e-hijfxfm bdf-w bdf-w-text-editor\" data-el=\"text-editor.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-txt-edt bdf-clr\"\u003e\n\u003cp class=\"w1\"\u003eThe MX3500A-SA MXM 3.1 Type B module features an NVIDIA RTX 3500 Ada Generation Embedded GPU based on the NVIDIA Ada Lovelace architecture. This architecture delivers revolutionary ray tracing and AI performance for graphics and neural networks. With dramatically higher baseline performance tailored for ray tracing and neural graphics workloads, it marks a major advancement in capabilities. The module enables outstanding gaming, content creation, professional graphics, AI acceleration, and compute power.\u003c\/p\u003e\n\u003cdiv\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\u003ctd class=\"w2\"\u003e\u003cp\u003e\u003cstrong\u003e● Advanced GPU engine compared to Ampere Architecture\u003c\/strong\u003e\u003c\/p\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd class=\"w3\"\u003ePowered by the NVIDIA RTX 3500 Ada Generation Embedded GPU featuring the NVIDIA Ada Lovelace architecture, the MX3500A-SP module delivers higher performance from its Ray Tracing and Tensor cores compared to GPUs built on the previous architecture. This enables more advanced ray traced graphics and AI capabilities.\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd class=\"w2\"\u003e\u003cp\u003e\u003cstrong\u003e● Supports Error Correction Code(ECC)\u003c\/strong\u003e\u003c\/p\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd class=\"w3\"\u003eECC provides higher reliability for compute applications that are sensitive to data corruption, especially important in large-scale cluster computing environments where GPUs process extremely large datasets and\/or run applications for extended periods.\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd class=\"w2\"\u003e\u003cp\u003e\u003cstrong\u003e● PCIe Gen 4 x16 interface\u003c\/strong\u003e\u003c\/p\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd class=\"w3\"\u003ePCIe Gen 4 interface in Ada Lovelace Architecture GPUs delivers faster sequential data transfer than PCIe Gen 3 interface. The increased throughput unlocks higher performance, lower latency and better scalability in Ada Lovelace architecture over previous generations.\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd class=\"w2\"\u003e\u003cp\u003e\u003cstrong\u003e● Conformal coating optional service for rugged applications\u003c\/strong\u003e\u003c\/p\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd class=\"w3\"\u003eFor all series of MXM modules, Aetina offers conformal coating optional service, suitable for harsh environments such as massive-computing embedded applications.\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd class=\"w2\"\u003e\u003cp\u003e\u003cstrong\u003e● 5-year long-term supply\u003c\/strong\u003e\u003c\/p\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd class=\"w3\"\u003eDuring long development period, Aetina ensures MXM modules with 5-year availability and exclusive technical support, helping customers to save maintenance cost and time.\u003c\/td\u003e\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/div\u003e\n\u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/section\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"bdf-tb\"\u003e \u003cdiv class=\"bdf-tb-t bdf-tb-ph-t\" data-tab=\"2\"\u003eEspecificações\u003c\/div\u003e \u003cdiv class=\"bdf-rcv-tb-cnt bdf-tb-cnt bdf-s-wrp bdf-clr bdf-rptr-itm-q5f8uvb\" data-tab=\"2\"\u003e \u003csection data-id=\"fbtbdze\" class=\"bdf-e bdf-e-fbtbdze bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-top-s\" data-el=\"section\"\u003e \u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e \u003cdiv class=\"bdf-r\"\u003e \u003cdiv data-id=\"zlzqprt\" class=\"bdf-e bdf-e-zlzqprt bdf-c bdf-c-s-100 bdf-top-c\" data-el=\"column\"\u003e \u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e \u003cdiv class=\"bdf-w-wrp\"\u003e \u003cdiv data-id=\"yichhob\" class=\"bdf-e bdf-e-yichhob bdf-w bdf-w-text-editor\" data-el=\"text-editor.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-txt-edt bdf-clr\"\u003e\u003ctable cellspacing=\"0\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#C1DB81\"\u003e\u003cp class=\"s4\"\u003eModel Number\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" colspan=\"2\" bgcolor=\"#C1DB81\"\u003e\u003cp class=\"s4\"\u003eMX3500A-SA\u003c\/p\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#C1DB81\"\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp class=\"s5\"\u003eGPU Engine Specs\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#F1F1F1\"\u003e\n\u003cp class=\"s6\"\u003eNVIDIA RTX 3500 Ada Generation Embedded GPU Architecture: NVIDIA Ada Lovelace\u003c\/p\u003e\n\u003cp class=\"s6\"\u003eCUDA Cores: 5120\u003c\/p\u003e\n\u003cp class=\"s6\"\u003eTensor Cores: 160\u003c\/p\u003e\n\u003cp class=\"s6\"\u003eRT Cores: 40\u003c\/p\u003e\n\u003cp class=\"s6\"\u003eFloating Point Performance: 20.42 TFLOPS Core Clock (MHz): Base= 1470 \/ Boost= 1995\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#F1F1F1\"\u003e\n\u003cp class=\"s6\"\u003eNVIDIA RTX 3500 Ada Generation Embedded GPU Architecture: NVIDIA Ada Lovelace\u003c\/p\u003e\n\u003cp class=\"s6\"\u003eCUDA Cores: 5120\u003c\/p\u003e\n\u003cp class=\"s6\"\u003eTensor Cores: 160\u003c\/p\u003e\n\u003cp class=\"s6\"\u003eRT Cores: 40\u003c\/p\u003e\n\u003cp class=\"s6\"\u003eFloating Point Performance: 23.04 TFLOPS Core Clock (MHz): Base= 1725 \/ Boost= 2250\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#C1DB81\"\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp class=\"s5\"\u003eMemory Specs\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" colspan=\"2\" bgcolor=\"#E7E6E6\"\u003e\n\u003cp class=\"s6\"\u003eSize: 12GB GDDR6\u003c\/p\u003e\n\u003cp class=\"s6\"\u003eSpeed: 18 Gbps Interface Width: 192-bit Bandwidth (GB\/sec): 432\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#C1DB81\"\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp class=\"s5\"\u003eFeature Support\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" colspan=\"2\" bgcolor=\"#F1F1F1\"\u003e\n\u003cp class=\"s6\"\u003ePCI Express 4.0 x16 DirectX: 12 Ultimate\u003c\/p\u003e\n\u003cp class=\"s6\"\u003eOpen GL 4.6\u003c\/p\u003e\n\u003cp class=\"s6\"\u003eVulkan 1.2\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#C1DB81\"\u003e\u003cp class=\"s5\"\u003eDisplay\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" colspan=\"2\" bgcolor=\"#E7E6E6\"\u003e\u003cp class=\"s6\"\u003eResolution: 7680x4320\u003cspan class=\"s8\"\u003e1 \u003c\/span\u003eMax: 4x DisplayPort 1.4a\u003c\/p\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#C1DB81\"\u003e\u003cp class=\"s5\"\u003ePower Consumption\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#F1F1F1\"\u003e\u003cp class=\"s6\"\u003eTotal Graphics Power (TGP): 80 W\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#F1F1F1\"\u003e\u003cp class=\"s6\"\u003eTotal Graphics Power (TGP): 115 W\u003c\/p\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#C1DB81\"\u003e\u003cp class=\"s5\"\u003eForm Factor\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" colspan=\"2\" bgcolor=\"#E7E6E6\"\u003e\u003cp class=\"s6\"\u003eMXM Graphics Module Version 3.1, Type B\u003c\/p\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#C1DB81\"\u003e\u003cp class=\"s5\"\u003eDimensions (WxD)\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" colspan=\"2\" bgcolor=\"#F1F1F1\"\u003e\u003cp class=\"s6\"\u003e82.0 x 105.0 mm (3.22” x4.13”)\u003c\/p\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#C1DB81\"\u003e\u003cp class=\"s5\"\u003eNet Weight\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" colspan=\"2\" bgcolor=\"#E7E6E6\"\u003e\u003cp class=\"s6\"\u003e0.0592 kg (0.1305 lb)\u003c\/p\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#C1DB81\"\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp class=\"s5\"\u003eTemperature\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#F1F1F1\"\u003e\u003cp class=\"s6\"\u003eStandard: Operating Temp. :0 to + 55\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eC (32\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eF ~131\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eF )\/ Extended Operating Temp. :-40 to + 70\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eC (-40\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eF ~158\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eF) \/ Storage Temperature: -40 to + 85\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eC (- 40\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eF ~ 185\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eF)\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#F1F1F1\"\u003e\u003cp class=\"s6\"\u003eStandard: Operating Temp. :0 to + 55\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eC (32\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eF ~131\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eF )\/ Storage Temperature: -40 to + 85\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eC (- 40\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eF ~ 185\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eF)\u003c\/p\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#C1DB81\"\u003e\u003cp class=\"s5\"\u003eHumidity\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" colspan=\"2\" bgcolor=\"#E7E6E6\"\u003e\u003cp class=\"s6\"\u003e40\u003cspan class=\"s10\"\u003e°\u003c\/span\u003eC @ 95%, Non-condensing\u003c\/p\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#C1DB81\"\u003e\u003cp class=\"s5\"\u003eOS Support\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" colspan=\"2\" bgcolor=\"#F1F1F1\"\u003e\u003cp class=\"s6\"\u003eWindows 10\/11 64-bit \/ Linux 64-bit\u003c\/p\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"background-color: #ffffff;\" bgcolor=\"#C1DB81\"\u003e\u003cp class=\"s5\"\u003eCertification\u003c\/p\u003e\u003c\/td\u003e\n\u003ctd style=\"background-color: #ffffff;\" colspan=\"2\" bgcolor=\"#E7E6E6\"\u003e\u003cp class=\"s6\"\u003eCE\/FCC\/UKCA\u003c\/p\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/section\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"bdf-tb\"\u003e \u003cdiv class=\"bdf-tb-t bdf-tb-ph-t\" data-tab=\"3\"\u003eDimensões\u003c\/div\u003e \u003cdiv class=\"bdf-rcv-tb-cnt bdf-tb-cnt bdf-s-wrp bdf-clr bdf-rptr-itm-3xre7ju\" data-tab=\"3\"\u003e \u003csection data-id=\"ajdxjko\" class=\"bdf-e bdf-e-ajdxjko bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-top-s\" data-el=\"section\"\u003e \u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e \u003cdiv class=\"bdf-r\"\u003e \u003cdiv data-id=\"mwif03k\" class=\"bdf-e bdf-e-mwif03k bdf-c bdf-c-s-100 bdf-top-c\" data-el=\"column\"\u003e \u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e \u003cdiv class=\"bdf-w-wrp\"\u003e \u003cdiv data-id=\"b0iwr4z\" class=\"bdf-e bdf-e-b0iwr4z bdf-w bdf-w-image\" data-el=\"image.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-img\"\u003e \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1913\/0443\/t\/32\/assets\/Aetina_MX3500A-SA_draw.jpg?v=1747907044\" title=\"MX3500A-SA dimensões\" alt=\"Aetina_MX3500A-SA_draw\" loading=\"lazy\"\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/section\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"bdf-tb\"\u003e \u003cdiv class=\"bdf-tb-t bdf-tb-ph-t\" data-tab=\"4\"\u003eDownloads\u003c\/div\u003e \u003cdiv class=\"bdf-rcv-tb-cnt bdf-tb-cnt bdf-s-wrp bdf-clr bdf-rptr-itm-y94g1tg\" data-tab=\"4\"\u003e \u003csection data-id=\"svntksm\" class=\"bdf-e bdf-e-svntksm bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-inner-s\" data-el=\"section\"\u003e \u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e \u003cdiv class=\"bdf-r\"\u003e \u003cdiv data-id=\"obldwrx\" class=\"bdf-e bdf-e-obldwrx bdf-c bdf-c-s-100 bdf-top-c\" data-el=\"column\"\u003e \u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e \u003cdiv class=\"bdf-w-wrp\"\u003e \u003cdiv data-id=\"zpshnmg\" class=\"bdf-e bdf-e-zpshnmg bdf-w bdf-w-button\" data-el=\"button.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-btn-wrp\"\u003e \u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1913\/0443\/files\/Aetina_MX3500A-SA_datasheet.pdf?v=1747906087\" class=\"bdf-btn-link bdf-btn bdf-sz-md\" target=\"_blank\"\u003e \u003cspan class=\"bdf-btn-cnt-wrp\"\u003e \u003cspan class=\"bdf-aln-icon-right bdf-btn-icon\"\u003e \u003ci class=\"fa fa-angle-right\"\u003e\u003c\/i\u003e \u003c\/span\u003e \u003cspan class=\"bdf-btn-text\"\u003eDatasheet\u003c\/span\u003e \u003c\/span\u003e \u003c\/a\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv data-id=\"3hsqtb1\" class=\"bdf-e bdf-e-3hsqtb1 bdf-w bdf-w-button\" data-el=\"button.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-btn-wrp\"\u003e \u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1913\/0443\/files\/Aetina_MX3500A-SA_series_User_manual_v1.2.pdf?v=1747906088\" class=\"bdf-btn-link bdf-btn bdf-sz-md\" target=\"_blank\"\u003e \u003cspan class=\"bdf-btn-cnt-wrp\"\u003e \u003cspan class=\"bdf-aln-icon-right bdf-btn-icon\"\u003e \u003ci class=\"fa fa-angle-right\"\u003e\u003c\/i\u003e \u003c\/span\u003e \u003cspan class=\"bdf-btn-text\"\u003eManual\u003c\/span\u003e \u003c\/span\u003e \u003c\/a\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/section\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/section\u003e \u003c\/div\u003e \u003c\/div\u003e\u003c\/div\u003e"}