NVIDIA B300 vs NVIDIA B200: What’s the Difference?
- 2 days ago
- 2 min read
What's the difference between the NVIDIA B200 and NVIDIA B300?
They are both AI GPUs built on NVIDIA’s Blackwell architecture. They are designed for AI training, inference, and large language models. The NVIDIA B300 is basically an upgraded version of the NVIDIA B200, with more memory and better inference performance.
NVIDIA B300 vs NVIDIA B200 Comparison: What's the Difference?
Feature | NVIDIA B200 | NVIDIA B300 |
Architecture | Blackwell | Blackwell Ultra |
GPU Memory | 192 GB HBM3e | 288 GB HBM3e |
Memory Increase | — | +50% vs B200 |
AI Inference Performance | ~9 PFLOPS FP4 | ~14–15 PFLOPS FP4 |
NVLink | NVLink 5 | NVLink 5 |
Typical Systems | HGX / DGX B200 | HGX / DGX B300, GB300 |
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What Changed in the NVIDIA B300 vs NVIDIA B200: What's the Difference?
Improvement | Why It Matters |
More memory (288 GB) | Larger AI models can run on a single GPU |
Higher inference performance | Faster LLM inference and reasoning workloads |
Blackwell Ultra platform | Designed for next-generation AI clusters |
The B200 is the first Blackwell GPU, while the B300 is its upgraded version with more memory and higher inference performance for larger AI models.
FAQ — NVIDIA B300 vs B200: What's the Difference?
What is the main difference between NVIDIA B200 and B300?
The NVIDIA B300 has more memory and higher inference performance. It is basically an upgraded version of the NVIDIA B200.
How much memory do the GPUs have?
The NVIDIA B200 has 192 GB HBM3e, while the B300 has 288 GB HBM3e, which is about 50% more memory.
Which NVIDIA GPU is faster?
The NVIDIA B300 is faster, especially for AI inference and large language models.
Do both NVIDIA GPUs support NVLink?
Yes. Both support NVLink 5, which allows NVIDIA GPUs to communicate directly in multi-GPU systems.
Where are these NVIDIA GPUs used?
They are typically used in AI servers and data center NVIDIA GPU clusters, such as HGX and DGX systems.
NVIDIA GPU Servers in Stock
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Sources — NVIDIA B300 vs B200: What's the Difference?
NVIDIA Blackwell Architecture Overview – Official overview of NVIDIA’s Blackwell GPU architecture:
https://www.nvidia.com/en-us/data-center/technologies/blackwell-architecture/
NVIDIA DGX B200 Platform – NVIDIA’s AI system built with B200 Blackwell GPUs:
https://www.nvidia.com/en-us/data-center/dgx-b200/
NVIDIA DGX B300 System – AI infrastructure platform using B300 Blackwell Ultra GPUs:
https://www.nvidia.com/en-us/data-center/dgx-b300/
NVIDIA NVLink Technology – Explanation of NVLink GPU interconnect used in modern AI systems:
https://www.nvidia.com/en-us/data-center/nvlink/
Inside NVIDIA Blackwell Ultra – Technical blog about the Blackwell Ultra platform and B300 GPUs: