NVIDIA DGX B200
Enterprise AI Training at Scale
The NVIDIA DGX B200 is a purpose-built AI supercomputer designed for the most demanding training and inference workloads in enterprise data centers. With 8 GPUs connected by high-bandwidth NVLink, it delivers the compute density needed for frontier-scale AI development.
Contact for Quote (est. $250K-$350K+)
Why the NVIDIA DGX B200
With 1.4TB HBM3e GPU memory + 960GB LPDDR5X system memory and 72 PetaFLOPS FP4, 36 PFLOPS FP8 performance, the NVIDIA DGX B200 handles workloads that range from AI model training and inference to scientific computing and real-time visualization.
1.4TB HBM3e across 8 Blackwell GPUs
72 PFLOPS FP4 training and inference performance
Identical 5th-gen NVLink fabric as DGX B300
Cost-effective entry to Blackwell architecture
Scales to multi-node SuperPOD configurations
Full NVIDIA AI software stack included
Technical Specifications
Complete hardware specifications for the NVIDIA DGX B200.
| GPU | NVIDIA Blackwell B200 SXM |
| GPU Count | 8 |
| CPU | 2x NVIDIA Grace CPU (144 ARM cores total) |
| Memory | 1.4TB HBM3e GPU memory + 960GB LPDDR5X system memory |
| Storage | Up to 30TB NVMe SSD |
| Networking | 8x NVIDIA ConnectX-7 (400GbE each), 4x NVLink ports |
| Interconnect | 5th-gen NVLink (1.8TB/s GPU-to-GPU) |
| Performance | 72 PetaFLOPS FP4, 36 PFLOPS FP8 |
| Power | Approximately 14.3 kW |
| Form Factor | 8U Rackmount |
| Operating System | NVIDIA DGX OS (Ubuntu-based Linux) |
| Software Stack | NVIDIA AI Enterprise, Base Command Manager, CUDA, cuDNN, NCCL, NeMo, Triton |
What You Can Do with the NVIDIA DGX B200
From AI model training to production inference, the NVIDIA DGX B200 handles a wide range of demanding workloads.
- Large-scale model training (GPT, LLaMA class)
- Enterprise AI inference at high throughput
- Multi-node distributed training
- Financial modeling and risk analysis
- Medical imaging AI and diagnostics
- Defense and intelligence AI workloads
Why Buy the NVIDIA DGX B200 from Petronella
We do not just sell hardware. We design, deploy, and manage your AI infrastructure with compliance built in from day one. Our entire team is CMMC-RP certified.
Datacenter readiness assessment and deployment planning
Power, cooling, and rack infrastructure design
Compliance documentation for CMMC/HIPAA environments
Managed support and proactive monitoring
AI workload optimization and benchmarking
Staff training and knowledge transfer
Compliance-Ready AI Infrastructure
Every NVIDIA DGX B200 deployment from Petronella includes compliance documentation and security hardening for your regulatory requirements. Our CMMC-RP certified team ensures your AI infrastructure meets the standards your industry demands.
Petronella Technology Group deploys NVIDIA hardware with full compliance documentation, security hardening, and audit-ready configurations. Whether you operate in defense, healthcare, finance, or government, we ensure your AI systems meet the regulatory frameworks that apply to your organization. Our team holds CMMC-RP, CCNA, CWNE, and DFE certifications.
Explore Related NVIDIA Products
Compare the NVIDIA DGX B200 with other NVIDIA solutions to find the right fit for your workloads and budget.
Configure Your NVIDIA DGX B200
Talk to our NVIDIA specialists about the right configuration for your workloads, compliance requirements, and budget. We handle everything from procurement to deployment.