NVIDIA HGX B300 & B200 Servers
8-GPU NVLink Servers for Large-Scale AI Training
The most powerful multi-GPU servers available. 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.
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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.
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 and configured to your exact workload requirements.
NVIDIA HGX B300 Server (AMD EPYC)
The flagship 8-GPU Blackwell Ultra server with AMD EPYC processors. Maximum memory bandwidth for the largest LLM training workloads.
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
Hot-Swap
Networking
8x 800Gbps InfiniBand
+ 2x 1GbE
NVIDIA HGX B300 Server (Intel Xeon)
Blackwell Ultra with Intel Xeon 6700-series processors. Ideal for organizations standardized on Intel infrastructure 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
Hot-Swap
Networking
8x 800Gbps InfiniBand
+ 1x 10GbE
NVIDIA HGX B200 Server (AMD EPYC)
Blackwell architecture with AMD EPYC processors. The performance sweet spot for enterprise AI training with excellent price-to-performance.
GPU
8x NVIDIA B200 SXM5
192GB HBM3e each
CPU
Dual AMD EPYC 9005/9004
System Memory
24x DDR5 ECC
Up to 3TB
GPU Memory
1.5TB HBM3e
Storage
12x 2.5" NVMe
Hot-Swap
Networking
InfiniBand
+ 2x 1GbE
NVIDIA HGX B200 Server (Intel Xeon)
Blackwell GPUs paired with Intel Xeon Scalable processors. Compatible with existing Intel-based datacenter tooling and management planes.
GPU
8x NVIDIA B200 SXM5
192GB HBM3e each
CPU
Dual Intel Xeon Scalable
System Memory
24x DDR5 ECC
Up to 3TB
GPU Memory
1.5TB HBM3e
Storage
12x 2.5" Hot-Swap
Networking
InfiniBand
+ 2x 1GbE
NVIDIA HGX H200 Server (AMD EPYC)
The proven Hopper architecture with HBM3e memory upgrade. Best value entry point into 8-GPU NVLink training with the shortest lead times.
GPU
8x NVIDIA H200 SXM5
141GB HBM3e each
CPU
Dual AMD EPYC 9005/9004
System Memory
24x DDR5 ECC
Up to 3TB
GPU Memory
1.1TB HBM3e
Storage
12x 2.5" NVMe
Hot-Swap
Networking
InfiniBand
+ 2x 1GbE
GPU Generation Comparison
Understanding the differences between B300, B200, and H200 helps you match the right GPU to your workload and budget.
| Specification |
B300
Blackwell Ultra |
B200
Blackwell |
H200
Hopper |
|---|---|---|---|
| Memory per GPU | 288GB HBM3e | 192GB HBM3e | 141GB HBM3e |
| Total GPU Memory (8x) | 2.3TB | 1.5TB | 1.1TB |
| Memory Bandwidth | 8 TB/s per GPU | 8 TB/s per GPU | 4.8 TB/s per GPU |
| NVLink Generation | 5th Gen | 5th Gen | 4th Gen |
| NVLink Bandwidth | 1.8 TB/s | 1.8 TB/s | 900 GB/s |
| InfiniBand | 800Gbps (NDR800) | 800Gbps (NDR800) | 400Gbps (NDR400) |
| FP8 Training Performance | Highest | Very High | High |
| Best For | Largest LLMs, frontier models | Enterprise AI, large models | Proven workloads, best value |
| Starting Price (8-GPU) | $485,918 | $394,707 | $320,232 |
Why NVLink Changes Everything
In standard multi-GPU servers, GPUs communicate over PCIe, which creates a bandwidth bottleneck during distributed training. When a model is too large for a single GPU, the training speed is limited by how fast GPUs can exchange gradients and activations.
NVIDIA NVLink eliminates this bottleneck by providing a direct, high-bandwidth interconnect between all 8 GPUs. The 5th generation NVLink in Blackwell systems delivers 1.8 TB/s of bidirectional bandwidth -- over 14x faster than PCIe Gen5.
This means training workloads that would take weeks on PCIe-connected GPUs can complete in days on an HGX system. For large language models, scientific simulations, and multi-modal AI, NVLink is not optional -- it is essential.
Faster Than PCIe
NVLink vs PCIe Gen5 bandwidth
TB/s Bandwidth
Bidirectional NVLink 5th Gen
GPUs Fully Connected
Every GPU talks to every other GPU directly
Built for the Most Demanding AI Workloads
HGX servers power the world's largest AI training runs. Here is what organizations are building with them.
LLM Training
Train large language models with billions of parameters. Fine-tune foundation models on proprietary data for domain-specific AI.
Multi-Modal AI
Train models that process text, images, video, and audio simultaneously. Build the next generation of AI assistants and agents.
Scientific Computing
Molecular dynamics, climate modeling, drug discovery, and genomics research at unprecedented scale and speed.
Financial Modeling
Risk analysis, quantitative trading models, fraud detection, and real-time financial simulations with massive datasets.
White-Glove Deployment & Support
A $400K+ server deserves expert deployment. PTG handles every detail from site preparation to production workloads.
Site Assessment
Power capacity analysis, cooling evaluation, rack space planning, and network infrastructure review before your server arrives.
Rack Installation
Professional mounting, cabling, power distribution, and physical setup by certified technicians. On-site in the Raleigh-Durham Triangle area.
Software Stack
NVIDIA AI Enterprise, CUDA, cuDNN, NCCL, PyTorch, TensorFlow, container runtimes, and monitoring -- all pre-configured and tested.
Network Architecture
InfiniBand fabric design, switch configuration, and multi-node cluster networking for distributed training at scale.
Compliance-Ready
CMMC, HIPAA, and NIST 800-171 compliant deployments. Our entire team holds CMMC-RP certification for defense and healthcare AI.
Ongoing Support
24/7 monitoring, proactive maintenance, firmware updates, and performance optimization. Keep your AI infrastructure running at peak efficiency.
Frequently Asked Questions
NVIDIA HGX servers typically require 10-12 kW of power per node, with some B300 configurations drawing up to 14.3 kW. You will need 208V or 240V three-phase power with redundant PDUs. Cooling requirements call for precision air cooling or direct liquid cooling (DLC), with ambient temperatures maintained below 35 degrees Celsius. PTG provides full power and cooling assessments as part of our deployment service.
The B300 (Blackwell Ultra) offers 288GB HBM3e per GPU with the highest memory bandwidth, ideal for the largest AI models. The B200 (Blackwell) provides 192GB HBM3e per GPU with excellent price-to-performance for most enterprise training workloads. The H200 (Hopper) delivers 141GB HBM3e per GPU and represents the best value entry point for organizations beginning large-scale AI training.
HGX servers use a baseboard design that is generation-specific, so GPU upgrades typically require a new baseboard. However, your rack infrastructure, networking, storage, and software stack carry forward. Many organizations start with H200 to begin training immediately, then add B200 or B300 nodes as a second phase. PTG designs your infrastructure with future expansion in mind.
For multi-node AI training, NVIDIA InfiniBand is the standard. B300 and B200 servers support 800Gbps InfiniBand (NDR800), while H200 servers use 400Gbps InfiniBand (NDR400). You will also need InfiniBand switches, cables, and a properly designed network fabric. PTG handles complete network architecture design for multi-node GPU clusters.
PTG pre-configures every HGX server with the NVIDIA AI Enterprise software stack including CUDA toolkit, cuDNN, NCCL for multi-GPU communication, and your choice of AI frameworks such as PyTorch, TensorFlow, or JAX. We also configure container runtimes, NVIDIA GPU Operator, and monitoring tools. Enterprise support licenses are available.
Lead times vary by GPU generation and configuration. H200 systems typically ship within 4-8 weeks. B200 systems are available in 6-10 weeks. B300 systems, being the newest generation, may require 8-14 weeks depending on allocation. Contact PTG for current availability and to reserve your build slot.
Yes. PTG offers flexible financing options including capital leases, operating leases, and deferred payment plans for qualified organizations. We work with multiple financing partners to find the best terms for your budget. Many clients also use our phased deployment approach 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.
Or schedule a call at a time that works for you
Petronella Technology Group | 5540 Centerview Dr, Suite 200, Raleigh, NC 27606 | Since 2002