MSI XpertStation WS300 NVIDIA DGX Station GB300 AI Workstation
PRODUCT DESCRIPTION
MSI XpertStation WS300 NVIDIA DGX Station GB300 Grace Blackwell Ultra AI Workstation, 748GB Coherent Memory, 20 PFLOPS, 2TB RAID 1, Dual 400G ConnectX-8, Liquid Cooled (WS300T60L) - Local Warranty
MSI XpertStation WS300 — NVIDIA DGX Station GB300 AI Workstation for the Deskside
The MSI XpertStation WS300 (model WS300T60L) is MSI's enterprise AI workstation built on NVIDIA DGX Station architecture around the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip. A 72-core NVIDIA Grace CPU and an NVIDIA Blackwell Ultra GPU share 748 GB of coherent memory over NVLink-C2C, delivering up to 20 petaFLOPS of FP4 AI performance and support for models of up to 1 trillion parameters — data-centre-class AI in a liquid-cooled tower that sits beside a desk.
For Singapore enterprises, research institutes and AI startups, the WS300 is the on-premise alternative to renting cloud GPU capacity: train, fine-tune and serve frontier-scale LLMs, agentic AI and simulation workloads on your own hardware, under your own data sovereignty, with an NVIDIA-certified and Ubuntu-certified platform.
748 GB Coherent Memory: One Memory Space for Giant Models
252 GB of HBM3e GPU memory at 7.1 TB/s pairs with 496 GB of LPDDR5X CPU memory at 396 GB/s over the 900 GB/s NVLink-C2C link, so models and datasets live in a single 748 GB coherent memory space instead of being paged between CPU and GPU. That accelerates LLM fine-tuning, retrieval-augmented generation, multimodal inference and scientific simulation, and Multi-Instance GPU (MIG) lets up to seven users or workloads share the Blackwell Ultra GPU with guaranteed resources.
2 TB RAID 1 Boot Storage, PCIe 6.0 Expansion and 800G-Class Networking
Two PCIe 5.0 x4 M.2 2280 slots off the Grace CPU ship populated as a 2 TB RAID 1 boot pair, while two further PCIe 6.0 x4 M.2 2280 slots off the ConnectX-8 remain open for high-speed dataset and checkpoint storage. Dual QSFP112 400G Ethernet ports on the NVIDIA ConnectX-8 SuperNIC (up to 800 Gb/s aggregate) connect the WS300 into private AI clusters and distributed training fabrics, with a Marvell AQC113 10GBase-T port for site networking and a dedicated 1000Base-T management port for the BMC.
Liquid-Cooled, Enterprise-Managed, Built for 24 × 7 AI Workloads
A liquid cooling module rated for up to 1400 W of CPU + GPU load, backed by a 120 mm system fan, keeps the Grace Blackwell Ultra Superchip at full performance under sustained training runs. An ASPEED AST2600 BMC with AMI MegaRAC firmware supports IPMI 2.0 and the DMTF Redfish API for out-of-band management, an onboard TPM 2.0 secures the platform, and an optional Microchip CEC1736 Hardware Root of Trust is available. Three PCIe 5.0 x16 slots — one double-wide for a display GPU and two single-wide with x8 signals — allow an NVIDIA RTX PRO Blackwell graphics card or additional NICs.
1600 W 80 PLUS Platinum Power in a 245.7 × 529 × 570.4 mm Tower
A single 1600 W ATX 80 PLUS Platinum power supply (20 A circuit required) feeds the system. The chassis measures 245.7 mm wide, 529.0 mm high and 570.4 mm deep, rated for 10–30 °C operation, and carries CE and FCC Class A certification alongside NVIDIA and Ubuntu 24.04 LTS certification.
Available in Singapore Through SourceIT
SourceIT supplies the MSI XpertStation WS300 with a full GST invoice, local warranty support and enterprise procurement assistance. MSI does not publish a fixed warranty term for the WS300; SourceIT confirms the applicable MSI enterprise support term in writing at quotation. For desktop-scale AI, see the NVIDIA DGX Spark; for alternative GB300 stations, see the HP ZGX Fury G1n, ASUS ExpertCenter Pro ET900N G3 and GIGABYTE W775-V10-L01.
MSI XpertStation WS300 Datasheet — Technical Specifications
General
| Product Name | MSI XpertStation WS300 |
| Model / Part Number | WS300T60L (MSI product code CT60-S8060) |
| Category | Enterprise AI workstation / deskside AI supercomputer (NVIDIA DGX Station GB300 platform) |
| Form Factor | Tower (NVIDIA DGX Station) |
| Manufacturer Support | MSI enterprise support — term not published by MSI for this model; confirmed at quotation |
| Local Warranty (Singapore) | Local warranty support, procurement and GST invoice by SourceIT |
Processor & GPU
| Compute Platform | NVIDIA DGX Station architecture — NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip |
| CPU | 1 × NVIDIA Grace CPU, 72 Arm Neoverse V2 cores |
| GPU | 1 × NVIDIA Blackwell Ultra GPU (fifth-generation Tensor Cores, second-generation Transformer Engine) |
| CPU–GPU Interconnect | NVIDIA NVLink-C2C, 900 GB/s (per NVIDIA DGX Station datasheet) |
| AI Performance | Up to 20 PFLOPS FP4 Tensor Core (with sparsity), per NVIDIA — 10 PFLOPS FP8/FP6, 5 PFLOPS FP16/BF16 |
| Model Support | AI models up to 1 trillion parameters, per NVIDIA |
| GPU Partitioning | Multi-Instance GPU (MIG) — up to 7 instances |
Memory
| Total Coherent Memory | 748 GB unified CPU + GPU memory space |
| GPU Memory | 252 GB HBM3e, 7.1 TB/s |
| CPU Memory | 496 GB LPDDR5X, 396 GB/s |
Storage
| Boot Storage | 2 × M.2 2280 PCIe 5.0 x4 NVMe (from CPU), shipped as 2 TB RAID 1 |
| Expansion Storage | 2 × M.2 2280 PCIe 6.0 x4 NVMe (from ConnectX-8), open for expansion |
| Wireless Slot | 1 × M.2 2230 PCIe 2.0 x1 for Wi-Fi / Bluetooth (optional module) |
Expansion
| PCIe Slots | 1 × PCIe 5.0 x16 FHFL double-wide (display GPU), 2 × PCIe 5.0 x16 FHFL single-wide (x8 signals) |
Networking
| High-Speed Networking | 2 × QSFP112 400G Ethernet ports, NVIDIA ConnectX-8 SuperNIC (up to 800 Gb/s) |
| General Ethernet | 1 × 10GBase-T, Marvell AQC113 |
| Management LAN | 1 × 1000Base-T dedicated server management port |
Management & Security
| BMC | ASPEED AST2600 with AMI MegaRAC-based firmware; IPMI 2.0 and DMTF Redfish API |
| Trusted Platform Module | Onboard TPM 2.0 |
| Hardware Root of Trust | Optional Microchip CEC1736 |
Operating System & Software
| Operating System | Ubuntu 24.04 LTS with NVIDIA AI Developer Tools preinstalled |
| Certifications | NVIDIA certified; Ubuntu certified |
Power, Cooling, Physical & Environmental
| Power Supply | 1 × 1600 W ATX 80 PLUS Platinum; 20 A circuit required |
| Cooling | Liquid cooling module for up to 1400 W CPU + GPU; 1 × 120 × 25 mm system fan |
| Dimensions (W × H × D) | 245.7 × 529.0 × 570.4 mm (9.67 × 20.83 × 22.46 in) |
| Weight | Not published by MSI |
| Operating Temperature | 10 – 30 °C, 10 – 80 % humidity; non-operating 5 – 40 °C |
| Regulatory | CE, FCC Class A |
Compatibility & Software Support
NVIDIA AI Software Stack
Ships with Ubuntu Linux and the NVIDIA AI Developer Tools preinstalled — the same NVIDIA software foundation used across the DGX family. CUDA, cuDNN, TensorRT and TensorRT-LLM, NVIDIA NeMo, NVIDIA NIM microservices, Triton Inference Server, RAPIDS and NGC containers run natively on the Grace Blackwell Ultra platform, alongside PyTorch, TensorFlow, JAX, vLLM, Hugging Face Transformers, DeepSpeed and ONNX Runtime. Docker and Kubernetes deployment are supported for containerised MLOps pipelines. NVIDIA AI Enterprise is available as a separate subscription for supported production deployments.
Arm64 Architecture — Plan Your Software Accordingly
The Grace CPU is an Arm Neoverse V2 processor, so the operating system, drivers and container images are arm64 (aarch64) builds. Mainstream AI frameworks and NVIDIA NGC containers are published for arm64, but proprietary x86-only applications will not run natively — check any commercial software you rely on before ordering. NVIDIA has announced a separate DGX Station for Windows SKU (Windows plus Windows Subsystem for Linux) for a later release; the units SourceIT supplies today ship with Ubuntu.
Clustering and Networking Compatibility
The two NVIDIA ConnectX-8 SuperNIC QSFP112 ports run at 400 Gb/s each (up to 800 Gb/s aggregate) with RDMA over Converged Ethernet, GPUDirect RDMA and GPUDirect Storage support, so two or more systems can be linked for distributed training, or connected to an NVMe-over-fabric storage array. QSFP112 transceivers or direct-attach cables are ordered separately to match your switch fabric — SourceIT will quote compatible optics alongside the system. The 10GbE RJ45 port covers everyday site networking, and the dedicated management LAN keeps out-of-band BMC traffic isolated from production data.
MSI Enterprise Platform Compatibility
The WS300 is listed on MSI's Enterprise Platform Solutions (EPS) catalogue as WS300T60L and is NVIDIA-certified and Ubuntu 24.04 LTS-certified. Its ASPEED AST2600 BMC exposes IPMI 2.0 and the DMTF Redfish API, so it integrates with standard data-centre management tooling alongside MSI's rack servers and other Redfish-capable infrastructure.
Package Contents & Ordering Information
What Ships With the System
- MSI XpertStation WS300 (WS300T60L) tower with NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip
- 2 TB NVMe M.2 boot storage configured as RAID 1
- 1600 W 80 PLUS Platinum power supply (installed) and power cord
- MSI quick installation guide and enterprise support documentation
QSFP112 transceivers or DAC cables, additional PCIe 6.0 NVMe SSDs, the optional Wi-Fi / Bluetooth module and an optional NVIDIA RTX PRO Blackwell display GPU are quoted separately.
NVIDIA DGX Station GB300 Systems at SourceIT Singapore
The MSI XpertStation WS300 is in stock at SourceIT Singapore and quoted with GST invoice; enterprise support terms are confirmed in writing at quotation.
- ASUS ExpertCenter Pro ET900N G3 — NVIDIA DGX Station GB300 platform, same 748 GB / 20 PFLOPS core compute
- HP ZGX Fury AI Station G1n — NVIDIA DGX Station GB300 platform, same 748 GB / 20 PFLOPS core compute
- GIGABYTE W775-V10-L01 — NVIDIA DGX Station GB300 platform, same 748 GB / 20 PFLOPS core compute
- NVIDIA DGX Spark — desktop-scale GB10 system (128 GB unified memory, 1 PFLOP FP4) for individual developers
Browse the full NVIDIA DGX Spark & DGX Station collection. For volume, project, research-grant or education pricing, GST invoicing and current lead times, email sales@sourceit.com.sg.
Datasheet & Downloads
Official MSI documentation for the XpertStation WS300:
Frequently Asked Questions — MSI XpertStation WS300
What is the MSI XpertStation WS300?
MSI's enterprise AI workstation built on the NVIDIA DGX Station GB300 platform: a 72-core Grace CPU and Blackwell Ultra GPU sharing 748 GB of coherent memory, up to 20 PFLOPS FP4, liquid cooled, in a deskside tower — for training, fine-tuning and serving AI models of up to 1 trillion parameters on premises.
How does the WS300 compare to the NVIDIA DGX Spark?
Different class entirely: the WS300 delivers up to 20 PFLOPS FP4 and 748 GB coherent memory for models up to 1 trillion parameters, versus the DGX Spark's 1 PFLOP and 128 GB (about 200 billion parameters). Choose the Spark for individual developers; the WS300 for teams and production-scale AI.
What storage does it ship with?
A 2 TB NVMe RAID 1 boot pair on the two PCIe 5.0 M.2 slots, with two PCIe 6.0 M.2 slots free for dataset and checkpoint storage.
Is the WS300 liquid cooled?
Yes. MSI fits a liquid cooling module rated for up to 1400 W of CPU + GPU load, supported by a 120 mm system fan, inside the tower — no external liquid-cooled rack is required.
Can multiple team members share one WS300?
Yes — Multi-Instance GPU (MIG) partitions the Blackwell Ultra GPU into up to seven isolated instances, so several users or workloads run concurrently with guaranteed resources.
Does it need a server room?
No rack is needed, but plan an air-conditioned space within MSI's 10–30 °C operating range and a dedicated 20 A power circuit for the 1600 W Platinum power supply.
Can I add a display graphics card?
Yes. The double-wide PCIe 5.0 x16 slot is intended for a display GPU such as an NVIDIA RTX PRO Blackwell card, and two further x16 slots (x8 signals) take additional NICs or accelerators — quoted separately.
What warranty does MSI provide?
MSI does not publish a fixed warranty term for the WS300 on its product pages. SourceIT confirms the applicable MSI enterprise support term for Singapore in writing at quotation and provides local warranty support.
How do I purchase the WS300 in Singapore?
SourceIT is an authorised IT reseller in Singapore and supplies the MSI XpertStation WS300 with GST invoice, local warranty support and enterprise procurement assistance — contact sales@sourceit.com.sg for configuration options, volume pricing and lead times.
