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Nexus Compute GB200 NVL2 MGX Single-Node Inference Server

Grace-Blackwell coherent memory in one node for mainstream LLM inference.

Full manufacturer warrantyAuthorized channel48-hour quote

We help you choose, configure, and deliver the right system — no obligation.

Nexus Compute GB200 NVL2 MGX Single-Node Inference Server — Nexus Compute enterprise hardware
Nexus Compute GB200 NVL2 MGX Single-Node Inference Server hardware detail 1
Nexus Compute GB200 NVL2 MGX Single-Node Inference Server hardware detail 2
Nexus Compute GB200 NVL2 MGX Single-Node Inference Server hardware detail 3

Configuration at a Glance

Accelerator2x NVIDIA Blackwell GPUs + 2x Grace CPUs
Coherent MemoryUp to ~1.3TB unified CPU-GPU memory
CPU-GPU LinkNVLink-C2C at 900GB/s
GPU Interconnect5th-generation NVLink

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.

GPU / Accelerator

2x NVIDIA Blackwell GPUs + 2x Grace CPUs

Processor

NVLink-C2C at 900GB/s

Memory

Up to ~1.3TB unified CPU-GPU memory

Storage

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

Teams serving mainstream LLMs without a full rack
Enterprises adding Grace-Blackwell inference incrementally
Vector database and RAG platform operators
Organizations wanting coherent CPU-GPU memory in one node

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

1

Mainstream LLM inference such as 70B-class models

2

Vector database search and retrieval-augmented generation

3

Data processing and analytics acceleration

4

Incremental Grace-Blackwell adoption

Industry Applications

AI & Machine LearningSaaS & SoftwareFinancial ServicesHealthcare & Life Sciences

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.

Accelerator2x NVIDIA Blackwell GPUs + 2x Grace CPUs
Coherent MemoryUp to ~1.3TB unified CPU-GPU memory
CPU-GPU LinkNVLink-C2C at 900GB/s
GPU Interconnect5th-generation NVLink
StorageHot-swap NVMe + M.2 boot
NetworkingConnectX-7 / BlueField-3, flexible MGX options
Form FactorMGX single-node rackmount
ManagementIPMI / 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.