Nexus Compute GB200 NVL2 MGX Single-Node Inference Server
Grace-Blackwell coherent memory in one node for mainstream LLM inference.
We help you choose, configure, and deliver the right system — no obligation.




Configuration at a Glance
Tailored per engagement. Full technical overview below.
Configuration Options
Core specifications for this system. Every component is configurable to your workload — request a quote for a tailored build.
2x NVIDIA Blackwell GPUs + 2x Grace CPUs
NVLink-C2C at 900GB/s
Up to ~1.3TB unified CPU-GPU memory
Hot-swap NVMe + M.2 boot
Overview
The NVIDIA GB200 NVL2 platform brings two Grace CPUs and two Blackwell GPUs into a single MGX node with a large coherent memory model purpose-built for mainstream LLM inference, vector search, and data processing. Nexus Compute configures, tests, and warranty-backs the system through authorized channels, sizing networking and storage so it integrates cleanly into your existing data center.
Who This Solution Is For
Business Benefits
Right-sized Grace-Blackwell
A single MGX node delivers Grace-Blackwell performance without the scale and facility commitment of a full rack.
Large coherent memory
NVLink-C2C unifies CPU and GPU memory so large models and datasets stay resident for fast, low-latency inference.
Integrates into your DC
The flexible MGX design fits standard infrastructure, and we configure and validate it for drop-in deployment.
Typical Business Use Cases
Mainstream LLM inference such as 70B-class models
Vector database search and retrieval-augmented generation
Data processing and analytics acceleration
Incremental Grace-Blackwell adoption
Industry Applications
Technical Overview
Built on the NVIDIA MGX modular architecture, the GB200 NVL2 pairs two Grace CPUs with two Blackwell GPUs joined by NVLink-C2C at 900GB/s and fifth-generation NVLink, presenting up to roughly 1.3TB of coherent CPU-GPU memory. The single-node, scale-out design supports flexible networking to slot accelerated inference into existing racks.
| Accelerator | 2x NVIDIA Blackwell GPUs + 2x Grace CPUs |
| Coherent Memory | Up to ~1.3TB unified CPU-GPU memory |
| CPU-GPU Link | NVLink-C2C at 900GB/s |
| GPU Interconnect | 5th-generation NVLink |
| Storage | Hot-swap NVMe + M.2 boot |
| Networking | ConnectX-7 / BlueField-3, flexible MGX options |
| Form Factor | MGX single-node rackmount |
| Management | IPMI / Redfish out-of-band management |
Specifications are indicative and configured to each engagement. Request a quote for a configuration tailored to your requirements.
Warranty, Support & Fulfillment
Every system ships from an authorized channel, configured and tested, with the documentation enterprise buyers need — backed by warranty and a dedicated account team.
Enterprise Warranty
Full manufacturer warranty with optional on-site, next-business-day support and extended coverage.
Authorized Channel
Sourced through Tier-1 distribution and OEM partners — never grey market. Asset & warranty records included.
Lead Time & Deployment
48-hour quotes, then configured, burn-in tested, and delivered on a committed schedule.
Nationwide Fulfillment
Coordinated logistics, rack-and-stack, and delivery wherever your infrastructure lives.
Frequently Asked Questions
Why choose NVL2 over a full NVL72 rack?
NVL2 suits mainstream inference and data workloads that fit in one node, avoiding the power, cooling, and cost of a 72-GPU rack. We help you decide where each platform fits your roadmap.
What models run well on it?
It targets real-time inference on mainstream models like 70B-class LLMs, plus vector search and data processing. We size memory and storage to your specific models and traffic.
Does it fit a standard data center?
Yes. The MGX design is built to integrate into existing racks with flexible networking. We confirm power, cooling, and rack fit during specification.
Hardware Assistance
Configure the Nexus Compute GB200 NVL2 MGX Single-Node Inference Server with Nexus Compute
Tell us your requirements and a hardware specialist will help you specify, configure, and quote the right system — typically within two business days. No obligation.