Exxact Valence VWS-158270643 (NVIDIA DGX Station GB300)

Product features CPU & GPU Processor: 1x NVIDIA Grace ™ 72-core Neoverse V2 CPU (ARM-based) GPU: 1x NVIDIA Blackwell Ultra GPU MIG: Multi-instance GPU for up to 7 MIGs optional: 1x dedicated NVIDIA Blackwell GPU for graphics rendering, e.g. RTX Pro 2000 Blackwell RAM total coherent memory: 748GB, linked via NVLink ®-C2C, at 900 GB/s interconnect bandwidth CPU memory: 496GB ECC LPDDR5X, 396 GB/s memory bandwidth GPU memory: 252GB ECC HBM3e, 7.1 TB/s memory bandwidth Networking Dual-port QSFP112 400GbE LAN via NVIDIA ConnectX-8 SuperNIC (= 800 Gbit/s bandwidth total) 1x RJ45 10GbE LAN port (Marvell AQC113) 1x RJ45 1GbE Dedicated BMC LAN port Storage 2x M.2 PCIe 5.0 x4 NVMe (M-key 2280), from CPU, with software RAID 1 support, for boot drives 2x M.2 PCIe 6.0 x4 NVMe (M-key 2280), from ConnectX-8 (for Training) populated with 2x 2TB SSDs - configurable PCIe Slots 1x PCIe Gen 5 x16 FHFL double-width, for GPUs 2x PCIe Gen 5 x8 (in x16) FHHL 1x M.2 PCIe 2.0 x1 slot (E-Key 2230)), for WiFi/BT Top I/O Ports and Connectors The I/Os are located on the top of the chassis 2x USB 3.2 Gen2 port (Type-C) 2x USB 3.2 Gen1 ports (Type-A) 2x Audio jacks (Mic/Audio Line Out) 1x power button (with power LED) 1x reset button 1x storage activity (HDD) LED Rear IO Ports and Connectors 4x USB 3.2 Gen2 ports (Type-A, 10 Gbit/s) 1x microUSB COM port 1x mini-DP (video port, 1024 x 768 max. resolution) 2x QSFP112 ports (400 Gbit/s each) 1x RJ45 port 10 Gbit/s Ethernet 1x RJ45 management port 1 Gbit/s Ethernet 3x Audio jacks (Audio in/Audio out/Mic) 1x power switch OS & security on-board TPM2.0 Hardware Root of Trust - Microchip CEC1736 supported (optional) OS: Ubuntu 24.04 LTS with NVIDIA AI Developer Tools pre-installed with essential CUDA-X™ libraries chassis intrusion IT manageability and enterprise features ASPEED AST2600 with AMI MegaRAC based firmware supporting IPMI 2.0 DMTF Redfish API support out-of-band telemetry via BMC eMMC for local BMC storage media NVIDIA Data Center GPU Manager visibility, monitoring, remote management capabilities hardware root of trust enterprise secure boot Dimensions, weight, form factor Form factor: Full-Tower height: 20.8'' width: 9.6'' depth: 23.4'' packaging dimensions: TBD net weight: TBD gross weight: TBD System cooling cooling system: closed-loop liquid cooling (suitable for office use) for max. 1400W CPU+GPU 1x 12025 System Fan Power supply power supply: 1x 1600W ATX 80 PLUS Titanium power supply Misc Audio: Realtek® ALC4080 Audio Codec operating temperature: 10°C to 30°C (50°F - 86°F) storage temperature: 5°C to 40°C (41°F to 104°F) operating relative humidity: 10% to 80% (non-condensing) storage relative humidity: 10% to 80% (non-condensing) regulatory: CE, FCC (Class A) packing content: 1 x msi XpertStation WS300 AI Supercomputer (NVIDIA DGX Station GB300) AI performance FP4 Tensor core: 20 PFLOPS / 15 PFLOPS without sparsity FP8 / FP6 Tensor core: 10 PFLOPS Int8 Tensor Core: 330 TOPS FP16/BF16 Tensor Core: 5 PFLOPS TF32 Tensor Core: 2.5 PFLOPS FP32: 80 TFLOPS FP64 / FP64 Tensor Core: 1.3 TFLOPS Product description The Exxact Valence VWS-158270643 is based on the msi XpertStation WS300. It can be used for running local AI applications for development and production purposes. Example AI applications include LLM inference for frontier models of up to 1 Trillion parameters, scientific workloads (e.g. BioNeMo), finetuning models, hosting AI agents, and running RAGs for AI-enhanced document workflows. In particular it is well-suited to run MoE (mixture of experts) models. Thanks to its MIG feature and its massive memory throughput it can be run headless to support several colleagues in a local workgroup. Compared to server systems, or heavy multi-GPU systems, it runs cooler and quieter, and is uniquely suited for office use. Its server-grade management features, such as the integrated BMC, the Redfish API support, and enterprise secure boot allow to integrate it into a corporate IT management landscape. Two Valence VWS-158270643 AI supercomputers can be joined using the Dual-port QSFP112 400GbE LAN to serve even bigger models, increase precision, or general model performance. A separately obtainable NVIDIA AI Enterprise software license provides a suite of software tools, libraries, and frameworks to fast-track your AI deployment on the Exxact Valence VWS-158270643. Optional GPUs One of the following optional GPUs can be added into the system to add graphics output options, and for scientific simulation and rendering workloads: NVIDIA RTX PRO 6000 Blackwell Workstation Edition NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition NVIDIA RTX PRO 4000 Blackwell SFF Edition NVIDIA RTX PRO 2000 Blackwell Datasheets, manuals and additional downloads MSI XpertStation WS300 (WS300T60L) datasheet (PDF) MSI XpertStation WS300 (WS300T60L) quick start guide (PDF) MSI XpertStation WS300 (WS300T60L) user manual (PDF) Lead time & purchase This product is available on pre-order with a current lead time of about 10-12 weeks. Contact us to purchase it. Additional SKUs and codes model number: Valence VWS-158270643