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
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model number: Valence VWS-158270643