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NVIDIA HGX B300 GPU SERVERS

Blackwell-generation GPU systems built for AI training and large-scale inference. In stock and shipping now.

Plan Your B300 Deployment Explore Available Systems
OVERVIEW

BUILT ON NVIDIA
BLACKWELL ARCHITECTURE

The NVIDIA HGX B300 is a current-generation GPU platform engineered for the demands of modern AI infrastructure. It delivers meaningful gains in training throughput, inference latency, and memory bandwidth over previous generations.

Arc Compute offers HGX B300 systems that are available for order today. Every system is validated, tested, and built to move from purchase order to production workload as fast as your timeline requires.

AVAILABLE SYSTEMS

NVIDIA HGX B300 SYSTEMS
FROM LEADING OEM PARTNERS

Choose from validated HGX B300 platforms built for production AI. Each system is ready to deploy and optimized for high-density GPU environments.

Supermicro NVIDIA HGX B300

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 B300

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

Planning a multi-system
deployment or full cluster?

Plan your B300 deployment
PLATFORM SPECS

NVIDIA HGX B300 8-GPU BASEBOARD

At the core of each system is the NVIDIA HGX B300 8-GPU baseboard. It is the foundation of current-generation Blackwell infrastructure, purpose-built for sustained performance at scale.

8X BLACKWELL GPUS

Eight NVIDIA Blackwell GPUs per node, delivering the compute density needed for large-scale training and inference.

HIGH-BANDWIDTH NVLINK

Fast GPU-to-GPU interconnect for efficient distributed training and minimal communication overhead.

TRAINING & INFERENCE

Optimized for both distributed model training and real-time production inference workloads.

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 B300 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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