Now Available

NVIDIA GB300 NVL72 SYSTEMS

Rack-scale AI infrastructure with 72 Blackwell Ultra GPUs in a single liquid-cooled system. Built for
large-scale training, inference, and AI reasoning workloads.

Plan Your GB300 Deployment Explore Available Systems
OVERVIEW

RACK-SCALE AI INFRASTRUCTURE, NOT JUST SERVERS

The NVIDIA GB300 NVL72 is a different class of AI system. Rather than individual servers, it is a fully integrated, liquid-cooled rack that combines 72 Blackwell Ultra GPUs and 36 Grace CPUs into a single compute domain. The entire rack operates as one unified system, connected by fifth-generation NVLink, and is purpose-built for large-scale AI training, reasoning, and high-throughput inference.

Arc Compute offers GB300 NVL72 systems through leading OEM partners, with support for full rack deployments and large-scale infrastructure builds. Our team works with you from capacity planning through deployment to get these systems into production on your timeline.

AVAILABLE SYSTEMS

NVIDIA GB300 NVL72 SYSTEMS FROM LEADING OEM PARTNERS

Choose from validated GB300 NVL72 platforms designed for hyperscale AI deployments and high-density data center environments.

Supermicro GB300 NVL72

Now Available
  • Fully integrated rack-scale AI system with direct liquid cooling
  • Designed for large-scale AI training and inference workloads
  • Optimized for rapid deployment of AI factory infrastructure
  • Supports high-density data center environments

Aivres GB300 NVL72

Now Available
  • High-density rack-scale system built for AI infrastructure at scale
  • Direct liquid cooling for sustained, high-utilization operation
  • Designed for large-scale model training and inference workload
  • Built for hyperscale and enterprise AI environment

Planning a large-scale AI deployment?

Plan your GB300 infrastructure
PLATFORM SPECS

NVIDIA GB300 NVL72 RACK-SCALE SYSTEM

The GB300 NVL72 is a fully integrated, liquid-cooled rack that operates as a single unified AI system. It combines 72 Blackwell Ultra GPUs with 36 Grace CPUs, connected by NVLink 5, to create one large compute domain capable of handling the most demanding AI workloads in production today.

Private AI Cloud

Dedicated GPU infrastructure with cloud-like flexibility. Built for startups that want to reduce cloud spend without giving up the on-demand experience their engineering teams are used to.

36 GRACE CPUS

36 NVIDIA Grace CPUs tightly integrated with the GPU fabric, purpose-built to minimize CPU-GPU bottlenecks in AI workloads.

NVLINK 5 INTERCONNECT

Dedicated GPU infrastructure with cloud-like flexibility. Built for startups that want to reduce cloud spend without giving up the on-demand experience their engineering teams are used to.

DIRECT LIQUID COOLING

Full rack liquid cooling designed for sustained, high-density operation. Required for the thermal envelope of 72 GPUs in a single rack.

USE CASES

TARGET WORKLOADS

Large-Scale Model Training

Train frontier-scale foundation models that require massive, tightly coupled compute. The GB300 NVL72's unified 72-GPU domain eliminates the multi-node communication overhead that limits training throughput on traditional server-based architectures.

AI Reasoning & Inference at Scale

Deploy inference systems built for high-throughput AI reasoning workloads. The GB300 NVL72 delivers the memory capacity and compute density to serve large models with complex reasoning chains at production scale.

AI Factory Infrastructure

Build dedicated AI compute environments designed to run continuously at high utilization. The rack-scale architecture and liquid cooling are built for the sustained, dense operation that AI factory workloads demand.

Hyperscale AI Platforms

Deploy GPU infrastructure at cloud and enterprise scale. The GB300 NVL72 is designed to be a building block for large AI compute clusters, with the density and efficiency to support multi-rack deployments.

WHY ARC COMPUTE

THE TEAM BEHIND YOUR INFRASTRUCTURE

PURPOSE-BUILT INFRASTRUCTURE

Every deployment is designed around your specific workload, power, cooling, and facility requirements. No generic rack-and-ship configurations.

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PLAN YOUR GPU INFRASTRUCTURE

Tell us about your workloads, timeline, and deployment goals. Our team will help you evaluate GPU platforms, select the right architecture, and design infrastructure that fits your requirements.