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NVIDIA HGX B300
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NVIDIA HGX B300

Accelerate Large-scale AI with NVIDIA HGX B300

Get next-generation performance for large AI training, inference and reasoning with the NVIDIA HGX B3000. Powered by Blackwell Ultra GPUs to accelerate enterprise AI.

Now available on Hyperstack. Starting from $3.50/hour.

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Unrivalled
Performance in..

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Generative AI and LLM Development

Accelerate LLM development with up to 144 PFLOPS FP4 Tensor Core performance.

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AI Training at Hyperscale Efficiency

Achieve great model throughput with 72 PFLOPS FP8/FP6 performance, ultra-fast 14.4 TB/s NVLink bandwidth and high-density compute.

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High-Speed AI Inference for Production Deployment

Deploy real-time inference at scale using the Blackwell Ultra architecture, delivering up to 144 PFLOPS sparse FP4 for advanced reasoning tasks.

Key Features of the
NVIDIA HGX B300

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Blackwell Ultra Architecture

The NVIDIA B300 GPU is built on the Blackwell Ultra architecture, so you can handle real-time AI reasoning, massive parallelism and dense compute throughput across FP4, FP6 and FP8.

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Massive 2.1 TB GPU Memory Space

8 Blackwell Ultra GPUs deliver a combined 2.3 TB of ultra-high-bandwidth HBM3e, providing 64 TB/s aggregate bandwidth to keep your largest models fully in memory.

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NVLink Switch System for Extreme Scaling

The dual NVIDIA NVLink Switch System provides 14.4 TB/s of aggregate GPU interconnect bandwidth for near-linear scaling across all eight GPUs.

Technical Specifications

NVIDIA HGX B300 Specs

Specification
NVIDIA HGX B300
GPU
NVIDIA HGX B300
Total GPU Memory
2.3 TB HBM3e
Memory Bandwidth
64 TB/s (aggregate)
FP4 Tensor Core
144 PFLOPS (sparse) / 108 PFLOPS (dense)
FP8/FP6 Tensor Core
72 PFLOPS
NVLink Bandwidth
14.4 TB/s aggregate
System Memory
2 TB (configurable to 4 TB)
CPU
Dual Intel Xeon 6776P
Power Consumption
14.5 kW (busbar) / 15.1 kW (PSU)

Access
Enterprise-Level Performance
When You Need It

Deploy the NVIDIA B300 GPU instantly on Hyperstack’s high-performance cloud environment.

Starting from $3.50/hour.

Frequently Asked Questions

Our product support and development go hand in hand to deliver you the best solutions available.

What is the NVIDIA B300 GPU?

The NVIDIA B300 GPU is part of the Blackwell Ultra generation, delivering extreme FP4, FP6 and FP8 performance for LLMs, generative AI and real-time reasoning workloads.

How much will the NVIDIA B300 cost?

On Hyperstack, you can reserve the NVIDIA HGX B300, starting from $3.50/hour.

What are the key specs of the NVIDIA B300 GPU?

The key specifications of NVIDIA B300 include:

  • Blackwell Ultra architecture
  • Up to 144 PFLOPS FP4
  • Up to 72 PFLOPS FP8/FP6
  • HBM3e memory, up to 2.3 TB in HGX configuration
  • NVLink Switch System with 14.4 TB/s bandwidth

How does the NVIDIA B300 compare to the NVIDIA 
H100 and NVIDIA H200?

The NVIDIA B300 significantly outperforms H100/H200 in FP4 and FP8 compute, offers greater memory bandwidth and delivers faster attention inference. This makes it ideal for next-generation LLMs and reasoning workloads.

What chip architecture does the NVIDIA B300 use?

The NVIDIA B300 uses the NVIDIA Blackwell Ultra architecture which is ideal for large-scale LLM training and real-time inference.

What workloads is the NVIDIA B300 best suited for?

The NVIDIA HGX B300 is ideal for demanding workloads such as:

  • Large language model training and inference
  • High-throughput generative AI workloads
  • Reinforcement learning and simulation
  • RAG systems and complex reasoning

Which cloud providers will offer NVIDIA B300 GPUs?

Hyperstack offers the NVIDIA HGX B300 GPUs with on-demand access and reservation options for long-term workloads.