NVIDIA B200 VS NVIDIA H200
Comparing NVIDIA's Blackwell-based B200 against the Hopper-based H200. This cross-generational comparison reveals significant architectural improvements.
📊 Detailed Specifications Comparison
| Specification | B200 | H200 | Difference |
|---|---|---|---|
| Architecture & Design | |||
| Architecture | Blackwell | Hopper | - |
| Process Node | 4nm | 4nm | - |
| Target Market | datacenter | datacenter | - |
| Form Factor | SXM | SXM5 | - |
| Memory | |||
| VRAM Capacity | 192GB | 141GB | +36% |
| Memory Type | HBM3e | HBM3e | - |
| Memory Bandwidth | 8.0 TB/s | 4.8 TB/s | +67% |
| Memory Bus | 8192-bit | 6144-bit | - |
| Compute Units | |||
| CUDA Cores | 18,432 | 16,896 | +9% |
| Tensor Cores | 576 | 528 | +9% |
| Performance (TFLOPS) | |||
| FP32 (Single Precision) | 90 TFLOPS | 67 TFLOPS | +34% |
| FP16 (Half Precision) | 4500 TFLOPS | 1979 TFLOPS | +127% |
| TF32 (Tensor Float) | 2250 TFLOPS | 989 TFLOPS | +128% |
| FP64 (Double Precision) | 45 TFLOPS | 34 TFLOPS | +32% |
| Power & Connectivity | |||
| TDP (Power) | 1000W | 700W | +43% |
| PCIe | PCIe 5.0 x16 | PCIe 5.0 x16 | - |
| NVLink | NVLink 5.0 (1.8 TB/s) | NVLink 4.0 (900 GB/s) | - |
🎯 Use Case Recommendations
LLM & Large Model Training
NVIDIA B200
Higher VRAM capacity and memory bandwidth are critical for training large language models. The B200 offers 192GB compared to 141GB.
AI Inference
NVIDIA B200
For inference workloads, performance per watt matters most. Consider the balance between FP16/INT8 throughput and power consumption.
Budget-Conscious Choice
NVIDIA H200
Based on current cloud pricing, the H200 starts at a lower hourly rate.
NVIDIA B200 is Best For:
- Next-gen LLM training
- Trillion parameter models
- Cost-sensitive projects
NVIDIA H200 is Best For:
- LLM inference at scale
- Large context window models
- Budget deployments
Frequently Asked Questions
Which GPU is better for AI training: B200 or H200?
For AI training, the key factors are VRAM size, memory bandwidth, and tensor core performance. The B200 offers 192GB of HBM3e memory with 8.0 TB/s bandwidth, while the H200 provides 141GB of HBM3e with 4.8 TB/s bandwidth. For larger models, the B200's higher VRAM capacity gives it an advantage.
What is the price difference between B200 and H200 in the cloud?
Cloud GPU rental prices vary by provider and region. Based on our data, B200 starts at $2.69/hour while H200 starts at $1.49/hour. This represents a 81% price difference.
Can I use H200 instead of B200 for my workload?
It depends on your specific requirements. If your model fits within 141GB of VRAM and you don't need the additional throughput of the B200, the H200 can be a cost-effective alternative. However, for workloads requiring maximum memory capacity or multi-GPU scaling, the B200's NVLink support (NVLink 5.0 (1.8 TB/s)) may be essential.
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