{"product_id":"msi-edgexpert-ms-c931-8211-ai-supercomputer-based-on-nvidia-dgx-spark-platform-for-deep-learning","title":"MSI EdgeXpert MS-C931 – AI Supercomputer Based on NVIDIA DGX Spark Platform for Deep Learning","description":"\u003cp\u003eThe MSI EdgeXpert MS-C931 is a desktop-class AI supercomputer built on the NVIDIA DGX Spark platform. It suits developers, researchers and data scientists who want data-center-grade AI capability on their own desk instead of metered by the hour in the cloud. It pairs the NVIDIA GB10 Grace Blackwell Superchip with 128GB of unified memory in a 1.19-litre chassis, and MSI adds a curated software ecosystem.\u003c\/p\u003e\u003ch2\u003eWho it's for\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eDevelopers and researchers fine-tuning, quantizing and serving models up to roughly 200B parameters\u003c\/li\u003e\n\u003cli\u003eTeams building legal AI, machine vision, offline voice translation or agentic AI products with the bundled software\u003c\/li\u003e\n\u003cli\u003eTeams with data-residency or IP concerns keeping datasets and model weights on-premises\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eKey features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA GB10 Grace Blackwell Superchip:\u003c\/strong\u003e a 20-core Arm CPU (10x Cortex-X925 + 10x Cortex-A725) fused to a Blackwell-architecture GPU over NVIDIA NVLink-C2C, delivering 1000 AI TOPS \/ 1 petaFLOP of FP4 (sparse) performance.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e128GB unified LPDDR5x memory at 273GB\/s:\u003c\/strong\u003e a single coherent 256-bit memory pool shared between CPU and GPU, holding models up to roughly 200B parameters (and up to 405B across two stacked units via ConnectX-7).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e1TB or 4TB self-encrypting NVMe SSD:\u003c\/strong\u003e hardware self-encryption at either tier.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA ConnectX-7 Smart NIC (200Gbps):\u003c\/strong\u003e data-center-class networking for clustering two units, plus 10GbE, Wi-Fi 7 and Bluetooth 5.4.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA DGX OS pre-installed:\u003c\/strong\u003e the full NVIDIA AI stack ships ready to run, and work is container-portable to other DGX Spark-class systems or DGX Cloud.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCurated third-party AI software:\u003c\/strong\u003e MSI ships access to AIPLUX Legal AI Suite, Memorence Operagents (machine vision and operational AI), Ubestream offline voice translation and Galene.AI Elettra’s agentic AI platform.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCompact and quiet:\u003c\/strong\u003e a 151 x 151 x 52mm, 1.2kg chassis with smart fan control, 4x USB 3.2 Type-C, HDMI 2.1a and 3x DisplayPort 1.4a.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEnterprise reliability:\u003c\/strong\u003e TPM onboard, a 0–35°C operating temperature range, and FCC\/CE\/UKCA\/VCCI\/BSMI certification.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eSpec\u003c\/th\u003e\n\u003cth\u003eDetail\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel Number\u003c\/td\u003e\n\u003ctd\u003eEdgeXpert MS-C931\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eArchitecture\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Grace Blackwell GB10 Superchip\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e20-core Arm (10x Cortex-X925 + 10x Cortex-A725)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU-GPU Interconnect\u003c\/td\u003e\n\u003ctd\u003eNVIDIA NVLink-C2C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTensor Performance\u003c\/td\u003e\n\u003ctd\u003e1 petaFLOP (1000 AI TOPS), FP4, Sparse\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSystem Memory\u003c\/td\u003e\n\u003ctd\u003e128GB LPDDR5x coherent unified system memory\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory Interface \/ Bandwidth\u003c\/td\u003e\n\u003ctd\u003e256-bit \/ 273GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e1TB or 4TB NVMe M.2 SSD with self-encryption\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e4x USB 3.2 Type-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEthernet\u003c\/td\u003e\n\u003ctd\u003e1x RJ-45 (10GbE)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNetwork Interface Card\u003c\/td\u003e\n\u003ctd\u003eNVIDIA ConnectX-7 Smart NIC (200Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay Connectors\u003c\/td\u003e\n\u003ctd\u003e1x HDMI 2.1a; 3x DisplayPort 1.4a via USB-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Encode\/Decode\u003c\/td\u003e\n\u003ctd\u003e1x NVENC \/ 1x NVDEC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTPM \/ Smart Fan Control\u003c\/td\u003e\n\u003ctd\u003eYes \/ Yes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating System\u003c\/td\u003e\n\u003ctd\u003eNVIDIA DGX OS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMax Model Size\u003c\/td\u003e\n\u003ctd\u003eUp to 200B parameters (405B via dual-unit ConnectX stacking)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e151 x 151 x 52mm (1.19L)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003e1.2kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating Temperature \/ Humidity\u003c\/td\u003e\n\u003ctd\u003e0–35°C \/ 10–90% non-condensing\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage Temperature \/ Humidity\u003c\/td\u003e\n\u003ctd\u003e0–60°C \/ 10–90% non-condensing\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Supply\u003c\/td\u003e\n\u003ctd\u003e~240W via USB-C with external adapter\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCertifications\u003c\/td\u003e\n\u003ctd\u003eFCC Class B, CE, UKCA, VCCI, BSMI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBundled AI Software\u003c\/td\u003e\n\u003ctd\u003eAIPLUX Legal AI Suite, Memorence Operagents, Ubestream Voice Translation, Galene.AI Elettra\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIn the Box\u003c\/td\u003e\n\u003ctd\u003eEdgeXpert MS-C931 system, external ~240W USB-C power adapter, power cord, quick start guide\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eGood to know\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eThe 1 petaFLOP \/ 1000 TOPS figure is a peak FP4-sparse number. Real dense-precision throughput on a given model will be lower.\u003c\/li\u003e\n\u003cli\u003eTraining a foundation model from scratch is still cluster or cloud territory. This machine is built for fine-tuning, quantization, inference serving and applied-AI development.\u003c\/li\u003e\n\u003cli\u003eA 70B model in FP4\/INT4 quantization, or a 30B model at higher precision with a long context window, runs without memory workarounds.\u003c\/li\u003e\n\u003cli\u003eChoose 1TB for a handful of active checkpoints and datasets, or 4TB for multiple quantized variants, larger training corpora or a growing library of fine-tuned checkpoints.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003ePick the MS-C931 over a bare DGX Spark unit if the bundled software overlaps with what you are building.\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"4 TB","offer_id":58232536269182,"sku":"MSI-EDGEXPERT-MSC932","price":6499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1022\/4468\/0062\/files\/product_175686100704b1a75fc1f20b2de1b0354880526c9a_f33d2699-cf99-4e2c-97ab-a8f795e8b410.webp?v=1792094004","url":"https:\/\/computahardware.net\/products\/msi-edgexpert-ms-c931-8211-ai-supercomputer-based-on-nvidia-dgx-spark-platform-for-deep-learning","provider":"ComputaHardware","version":"1.0","type":"link"}