Enterprise AI Infrastructure

NVIDIA HGX B300 &B200 Servers

8-GPU NVLink servers for large-scale AI training. Up to 2.3TB of HBM3e memory, 800Gbps InfiniBand networking, and NVLink interconnect delivering unprecedented GPU-to-GPU bandwidth for training the largest AI models.

NVIDIA Authorized Partner|CMMC-RP Certified Team|24+ Years Experience|White-Glove Deployment
NVIDIA GB200 NVL72 rack-scale AI system

What is NVIDIA HGX?

NVIDIA HGX is the reference architecture for 8-GPU servers purpose-built for large-scale AI training. Unlike standard multi-GPU servers where GPUs communicate over PCIe, HGX systems use NVIDIA NVLink to create a unified GPU fabric with massive bandwidth between all 8 GPUs.

This means your training jobs scale nearly linearly across all 8 GPUs, eliminating the communication bottleneck that limits standard server configurations. Combined with InfiniBand networking, HGX servers form the building blocks of the world's most powerful AI supercomputers.

NVIDIA Blackwell GPU architecture

NVLink 5th Generation

Up to 1.8 TB/s bidirectional bandwidth between GPUs

Unified GPU Memory

Up to 2.3TB of HBM3e shared across all 8 GPUs

800Gbps InfiniBand

Scale to multi-node clusters with ultra-low latency

HGX Server Configurations

Five configurations spanning three GPU generations. Every system is built to order.

B300LATEST GENERATION

NVIDIA HGX B300 Server (AMD EPYC)

Flagship 8-GPU Blackwell Ultra server with AMD EPYC. Maximum memory bandwidth for the largest LLM training.

GPU

8x NVIDIA B300 SXM5

288GB HBM3e each

CPU

Dual AMD EPYC 9005/9004

System Memory

24x DDR5 ECC

Up to 3TB

GPU Memory

2.3TB HBM3e

Storage

12x 2.5" NVMe

Networking

8x 800Gbps IB

+ 2x 1GbE

Form Factor

8U Rackmount

Starting At

$485,918

Call: (919) 348-4912
B300INTEL PLATFORM

NVIDIA HGX B300 Server (Intel Xeon)

Blackwell Ultra with Intel Xeon 6700-series. Ideal for Intel-standardized organizations with maximum memory capacity.

GPU

8x NVIDIA B300 SXM5

288GB HBM3e each

CPU

Dual Intel Xeon 6700P/6700E

System Memory

32x DDR5 ECC

Up to 4TB

GPU Memory

2.3TB HBM3e

Storage

8x 2.5" NVMe

Networking

8x 800Gbps IB

+ 1x 10GbE

Form Factor

8U Rackmount

Starting At

$499,642

Call: (919) 348-4912
B200BEST VALUE BLACKWELL

NVIDIA HGX B200 Server (AMD EPYC)

Blackwell with AMD EPYC. The performance sweet spot for enterprise AI training.

GPU

8x NVIDIA B200 SXM5

192GB HBM3e each

CPU

Dual AMD EPYC 9005/9004

GPU Memory

1.5TB HBM3e

System Memory

24x DDR5 ECC (3TB)

Storage

12x 2.5" NVMe

Networking

InfiniBand + 2x 1GbE

Form Factor

8U Rackmount

Starting At

$394,707

Call: (919) 348-4912
B200INTEL PLATFORM

NVIDIA HGX B200 Server (Intel Xeon)

Blackwell GPUs with Intel Xeon Scalable. Compatible with existing Intel datacenter tooling.

GPU

8x NVIDIA B200 SXM5

192GB HBM3e each

CPU

Dual Intel Xeon Scalable

GPU Memory

1.5TB HBM3e

System Memory

24x DDR5 ECC (3TB)

Storage

12x 2.5" Hot-Swap

Networking

InfiniBand + 2x 1GbE

Form Factor

8U Rackmount

Starting At

$423,536

Call: (919) 348-4912
H200PROVEN & AVAILABLE

NVIDIA HGX H200 Server (AMD EPYC)

Proven Hopper architecture with HBM3e. Best value entry point into 8-GPU NVLink training with shortest lead times.

GPU

8x NVIDIA H200 SXM5

141GB HBM3e each

CPU

Dual AMD EPYC 9005/9004

GPU Memory

1.1TB HBM3e

System Memory

24x DDR5 ECC (3TB)

Storage

12x 2.5" NVMe

Networking

InfiniBand + 2x 1GbE

Form Factor

6U Rackmount

Starting At

$320,232

Call: (919) 348-4912

GPU Generation Comparison

Understanding B300 vs B200 vs H200 helps you match the right GPU to your workload and budget.

SpecificationB300
Blackwell Ultra
B200
Blackwell
H200
Hopper
Memory per GPU288GB HBM3e192GB HBM3e141GB HBM3e
Total GPU Memory (8x)2.3TB1.5TB1.1TB
Memory Bandwidth8 TB/s per GPU8 TB/s per GPU4.8 TB/s per GPU
NVLink Generation5th Gen5th Gen4th Gen
NVLink Bandwidth1.8 TB/s1.8 TB/s900 GB/s
InfiniBand800Gbps (NDR800)800Gbps (NDR800)400Gbps (NDR400)
Best ForLargest LLMs, frontier modelsEnterprise AI, large modelsProven workloads, best value
Starting Price (8-GPU)$485,918$394,707$320,232

Built for the Most Demanding AI Workloads

HGX servers power the world's largest AI training runs.

LLM Training

Train large language models with billions of parameters. Fine-tune foundation models on proprietary data.

Multi-Modal AI

Train models that process text, images, video, and audio simultaneously.

Scientific Computing

Molecular dynamics, climate modeling, drug discovery, and genomics research.

Financial Modeling

Risk analysis, quantitative trading models, fraud detection, and real-time financial simulations.

White-Glove Deployment & Support

A $400K+ server deserves expert deployment. PTG handles every detail.

Site Assessment

Power capacity analysis, cooling evaluation, rack space planning, and network infrastructure review.

Rack Installation

Professional mounting, cabling, power distribution by certified technicians. On-site in Raleigh-Durham.

Software Stack

NVIDIA AI Enterprise, CUDA, cuDNN, NCCL, PyTorch, TensorFlow, container runtimes, and monitoring.

Network Architecture

InfiniBand fabric design, switch configuration, and multi-node cluster networking.

Compliance-Ready

CMMC, HIPAA, and NIST 800-171 compliant deployments by our CMMC-RP certified team.

Ongoing Support

24/7 monitoring, proactive maintenance, firmware updates, and performance optimization.

Frequently Asked Questions

What power and cooling do HGX servers require?
HGX servers typically require 10-12 kW per node, with some B300 configurations drawing up to 14.3 kW. You need 208V or 240V three-phase power with redundant PDUs. Cooling requires precision air or direct liquid cooling below 35C. PTG provides full power and cooling assessments.
What is the difference between B300, B200, and H200?
The B300 (Blackwell Ultra) offers 288GB HBM3e per GPU for the largest models. The B200 provides 192GB HBM3e with excellent price-to-performance. The H200 delivers 141GB HBM3e and is the best value entry point for large-scale training.
Can I start with H200 and upgrade to Blackwell later?
GPU upgrades require a new baseboard, but your rack infrastructure, networking, storage, and software carry forward. Many organizations start with H200 then add Blackwell nodes as a second phase. PTG designs your infrastructure with future expansion in mind.
What networking do I need for multi-node training?
NVIDIA InfiniBand is the standard. B300/B200 support 800Gbps (NDR800), H200 uses 400Gbps (NDR400). You also need InfiniBand switches and properly designed fabric. PTG handles complete network architecture design.
What software comes pre-installed?
PTG pre-configures NVIDIA AI Enterprise, CUDA toolkit, cuDNN, NCCL, your choice of AI frameworks (PyTorch, TensorFlow, JAX), container runtimes, NVIDIA GPU Operator, and monitoring tools.
How long is the delivery lead time?
H200 systems: 4-8 weeks. B200 systems: 6-10 weeks. B300 systems: 8-14 weeks. Contact PTG for current availability and to reserve your build slot.
Does PTG offer financing?
Yes. Capital leases, operating leases, and deferred payment plans for qualified organizations. Many clients use phased deployment to spread investment across quarters.

Ready to Build Your AI Training Infrastructure?

Our CMMC-RP certified team will help you select the right HGX configuration, design your network architecture, and deliver a production-ready AI training platform.