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NVIDIA HGX H200 GPU SERVERS

Hopper-generation GPU systems built for AI training, inference, and production workloads. In stock and shipping now.

Plan Your H200 Deployment Explore Available Systems
OVERVIEW

PROVEN HOPPER ARCHITECTURE, READY TO DEPLOY

The NVIDIA HGX H200 is built on the Hopper GPU architecture, delivering strong performance, high memory capacity, and efficient multi-node scaling for modern AI workloads. It is a production-proven platform with a deep ecosystem of software and tooling support.

Arc Compute offers HGX H200 systems that are available for order today. Every system is fully integrated, validated, and built to move from purchase order to production workload on your timeline.

AVAILABLE SYSTEMS

NVIDIA HGX H200 SYSTEMS
FROM LEADING OEM PARTNERS

Choose from validated HGX H200 platforms built for production AI. Each system is ready to deploy and optimized for high-density GPU environments.

Supermicro NVIDIA HGX H200

Now Available
  • Enterprise-grade platform built for high-density GPU environments
  • Supports air-cooled and liquid-cooled configurations
  • Proven reliability across large-scale AI and HPC workloads
  • Designed for rack-scale and multi-rack deployments

Aivres NVIDIA HGX H200

Now Available
  • High-performance system purpose-built for AI-native infrastructure
  • Supports air-cooled and liquid-cooled configurations
  • Scales cleanly across multi-node and multi-rack configurations
  • Strong compute density relative to physical footprint

Looking for multiple systems or a full cluster?

Plan your H200 deployment
PLATFORM SPECS

NVIDIA HGX H200 8-GPU BASEBOARD

At the core of each system is the NVIDIA HGX H200 8-GPU baseboard. It is the foundation of Hopper-generation AI infrastructure, built to deliver consistent, high-throughput compute for training and inference workloads at scale.

8X HOPPER GPUS

Eight NVIDIA Hopper GPUs per node, providing the compute density needed for large-scale AI training and production inference.

HIGH-BANDWIDTH MEMORY

Large memory capacity per GPU, designed to handle the demands of large models and datasets without bottlenecking.

HIGH-SPEED INTERCONNECT

Fast GPU-to-GPU communication for efficient distributed training and minimal overhead across multi-node configurations.

PRODUCTION-GRADE UPTIME

Built for 24/7 sustained operation in production environments with enterprise reliability requirements.

USE CASES

COMMON WORKLOADS

AI Model Training

Train foundation models, fine-tune open-source LLMs, and run large-scale distributed training jobs. The B300 platform provides the memory bandwidth and interconnect speed needed to keep GPU utilization high across multi-node runs.

Inference u0026 Production AI

Serve models in production with the throughput and latency profile your application demands. The HGX B300 handles real-time inference for LLMs, vision models, and multi-modal pipelines at scale.

HPC u0026 Scientific Computing

Run compute-intensive simulations, molecular dynamics, climate modeling, and other HPC workloads that benefit from dense GPU compute and high memory bandwidth.

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 NVIDIA HGX H200 DEPLOYMENT

Tell us about your infrastructure goals and timeline. Our team will help you evaluate system options, size your deployment, and build a plan that fits your workload, whether you need a few nodes or a full cluster.

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