The MSI XpertStation WS300, built on the NVIDIA DGX Station GB300 architecture, is now in stock at Vishal Peripherals and we are proud to be among the first authorized partners in the region to make this next-generation deskside AI supercomputer available. Purpose-built for large language models (LLMs), generative AI, and advanced data science workloads, the WS300 is the most powerful system we have ever stocked, and it marks a significant milestone in Vishal Peripherals’ commitment to bringing cutting-edge AI infrastructure within reach of enterprises, research labs, and AI teams.

For Vishal Peripherals, having the MSI WS300 in stock is more than a product addition it is a statement of where we stand as an AI infrastructure partner. As an authorized MSI and NVIDIA partner with deep expertise in high-performance computing, Vishal Peripherals is uniquely positioned to help customers evaluate, procure, and get the most out of this class of hardware. With the WS300 now available, organizations no longer need to rely solely on cloud infrastructure for their most demanding AI workloads. The full power of a data center is now available right off the shelf, through Vishal Peripherals.

What is the XpertStation WS300?

Powered by the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, the MSI WS300 supports up to 748GB of large coherent memory and dual 400GbE networking, extending advanced AI infrastructure capabilities into a compact deskside form factor. Now in stock at Vishal Peripherals, it is designed for organizations that need the full power of a data center right at their desk with the added confidence of procuring through a trusted local partner who can advise, configure, and support the system.

At its core, the machine is built around a single NVIDIA Grace™ CPU Superchip featuring 72 Arm® Neoverse V2 cores, paired with a single NVIDIA Blackwell Ultra GPU at a combined TDP of up to 1,400W. The memory configuration is equally impressive: 496GB of LPDDR5X paired with 252GB of HBM3e totaling a full 748GB. This is the kind of memory footprint typically reserved for multi-node server clusters.

Unified Memory Architecture: The AI Advantage

One of the most technically significant aspects of the WS300 is its unified memory architecture. The platform integrates HBM3e GPU memory and LPDDR5X CPU memory into a single coherent domain, enabling efficient CPU-GPU data sharing for large-scale model training and fine-tuning. This unified memory pool eliminates the traditional bottleneck of shuttling data between discrete CPU and GPU memory spaces a fundamental limitation that has long constrained local AI workloads.

The practical impact for customers who procure through Vishal Peripherals is substantial: the MSI WS300 can locally process trillion-parameter models and support extensive AI workflows without relying on cloud infrastructure. Across the range of AI workstations that Vishal Peripherals stocks, the WS300 sits at the very top delivering up to ~20X the AI performance of entry-level RTX PRO Blackwell workstations, which are also available through Vishal Peripherals.

Platform	GPU Memory	AI Performance	Inference
RTX PRO Blackwell	Up to 384GB GDDR7	Up to ~10X	405B @ FP4
DGX Spark (GB10)	128GB LPDDR5x	1X (baseline)	200B @ FP4
XpertStation WS300	748GB HBM3e+LPDDR5X	Up to ~20X	405B @ FP8

Networking That Means Business

AI at scale does not happen in isolation. The WS300 ships with dual 400G QSFP112 ports driven by NVIDIA ConnectX-8 SuperNICs, plus a 10GbE management port and a dedicated 1GbE out-of-band management interface. Together, these deliver up to 800Gbps of aggregate networking bandwidth to support distributed AI workloads and multi-node scalability.

This level of connectivity means the WS300 can participate in distributed training runs and multi-node AI workflows at speeds that rival dedicated cluster interconnects from a machine sitting right next to your desk. For enterprises running large collaborative AI pipelines, this is a decisive advantage.

PCIe Expansion & Storage

The WS300 does not lock you into a fixed configuration. Designed with flexibility in mind, it offers a generous PCIe expansion setup alongside cutting-edge NVMe storage:

• •1x Double-Wide PCIe 5.0 x16 slot for a display adapter or additional GPU card (up to 600W TDP)
• •2x Single-Wide PCIe 5.0 x16 slots (x8 signals) for further expansion cards
• •2x PCIe 5.0 x4 NVMe M.2 ports sourced from the NVIDIA Grace CPU Superchip
• •2x PCIe 6.0 x4 NVMe M.2 ports sourced from the NVIDIA ConnectX-8 SuperNICs

High-speed PCIe Gen5 and Gen6 NVMe storage accelerates dataset ingestion and AI pipelines, ensuring sustained compute utilization during intensive training and inference operations. For data scientists running massive training datasets, this storage throughput matters as much as raw compute power.

Supporting the Full AI Lifecycle

The MSI WS300 is engineered to support the complete AI lifecycle from large-scale model training and data-intensive analytics to real-time inference and emerging physical AI and robotics workloads. By stocking this system, Vishal Peripherals ensures that enterprises in the region can access a platform that grows with their AI ambitions, without the complexity or cost of routing everything through cloud infrastructure.

What makes buying through Vishal Peripherals the right choice is the end-to-end support that comes with it. The WS300 can function as a centralized AI compute node for collaborative fine-tuning and on-demand deployment, and Vishal Peripherals backs every purchase with expert pre-sales consultation, system configuration guidance, and post-sales support. For regulated industries like healthcare, finance, and defense where data sovereignty is non-negotiable, having a trusted local partner like Vishal Peripherals alongside world-class MSI hardware makes all the difference.

Combined with full support for the NVIDIA AI Software Stack, the MSI WS300 available at Vishal Peripherals provides an integrated hardware-software foundation for seamless AI development and deployment from desktop to data center. Vishal Peripherals’ team is on hand to help customers get the platform configured, optimized, and production-ready from day one accelerating the journey from experimentation to real-world AI deployment.

Full Technical Specifications

Component	Specification
Processor	NVIDIA Grace™ CPU Superchip 72 Arm® Neoverse V2 cores + NVIDIA Blackwell Ultra GPU
Total TDP	1,400W (shared CPU+GPU)
Memory	496GB LPDDR5X + 252GB HBM3e = 748GB total coherent memory
Networking	2× 400G QSFP112 (ConnectX-8 SuperNIC) | 1× 10GbE (Marvel AQC113) | 1× 1GbE OOB (BMC)
PCIe Expansion	1× DW PCIe 5.0 x16 | 2× SW PCIe 5.0 x16 (x8 signal) | 1× PCIe 2.0 x1 M.2 (Wi-Fi)
Storage	2× PCIe 5.0 x4 NVMe M.2 (Grace CPU) | 2× PCIe 6.0 x4 NVMe M.2 (ConnectX-8)
Cooling	Closed-loop liquid cooling with dual radiators
Power Supply	1,600W 80+ Titanium ATX PSU
Rear I/O	4× USB 3.1 Type-A | 1× Mini DP | 1× 2ch Audio | 1× MicroUSB COM
Front Panel	1× USB 2.0 | 2× USB Type-C | 1× USB 3.0 | Audio | HDD LED | Power & Reset
Server Management	MGX BMC Management Module with dedicated BMC port
AI Performance	Up to 20 petaFLOPS of AI compute
Form Factor	Tower- 245mm (W) × 528mm (H) × 595mm (D)
SKU	WS300T60L
Price	$84,999.99
Availability	Available for order now via Vishal Peripherals

Final Thoughts: A Desk-Sized Data Center

Vishal Peripherals stocking the MSI WS300 is a bold statement about where we stand as an AI infrastructure partner and about where AI computing is heading. As LLMs grow larger and AI workflows grow more complex, the demand for local, sovereign, high-bandwidth computers will only intensify. The MSI WS300 built on the NVIDIA DGX Station GB300 architecture answers that demand directly: 20 petaFLOPS of AI compute, 748GB of coherent memory, and 800Gbps of networking from a single tower chassis available now, from Vishal Peripherals.

Priced at $84,999.99, the MSI WS300 is firmly an enterprise investment and Vishal Peripherals is the right partner to help organizations evaluate, procure, and get the most out of that investment. With deep knowledge of enterprise AI infrastructure, our team can help AI research labs, ML engineering teams, and data-sovereignty-focused organizations understand exactly where the WS300 fits their roadmap and get it into their hands quickly. For those who need it, there is simply no more powerful deskside workstation in stock today.

It is not a system for everyone. But for the AI teams, research labs, and enterprises who need it the MSI XpertStation WS300 is now in stock at Vishal Peripherals, ready to be procured, configured, and deployed. Get in touch with us today.