Comparison

NVIDIA H100 vs NVIDIA B200

Hopper vs Blackwell — current vs next generation

The B200 delivers approximately 1.8x the FP16 performance of the H100 (1,800 vs 990 TFLOPS) with 192GB HBM3e memory. It represents the Blackwell generation's mainstream training GPU.

Pricing Comparison

Specifications

Specification	NVIDIA H100	NVIDIA B200
Manufacturer	NVIDIA	NVIDIA
Architecture	Hopper	Blackwell
Accelerator Type	GPU	GPU
Primary Use	training	training
Memory (VRAM)	80 GB	192 GB
FP16 Performance	990 TFLOPS	1800 TFLOPS
TDP	700W	1000W
Perf per Watt	1.41 TFLOPS/W	1.80 TFLOPS/W

Detailed Analysis

The B200 is NVIDIA's Blackwell-generation successor to the H100, bringing substantial improvements across compute, memory, and efficiency. At 1,800 FP16 TFLOPS, it delivers 1.8x the raw performance of the H100, while its 192GB of HBM3e memory more than doubles the H100's 80GB.

The Blackwell architecture introduces the second-generation Transformer Engine with improved FP4 and FP8 support, further accelerating transformer model training beyond what raw TFLOPS numbers suggest.

The B200's TDP increases to 1,000W from the H100's 700W, meaning power infrastructure requirements are significantly higher. However, performance per watt improves — the B200 delivers more TFLOPS per watt than the H100.

In the cloud market, the B200 is still in early deployment with limited availability compared to the widely available H100. For teams starting new large-scale training projects, the B200 offers better future-proofing. For existing workloads running well on H100 infrastructure, the upgrade decision depends on whether the performance gain justifies the cost premium and availability constraints.

Verdict

Best for Training

B200 for new large-scale training projects. H100 remains excellent with wider availability and mature ecosystem.

Best for Inference

B200's extra memory (192GB) makes it better for serving very large models. H100 is more cost-effective for models that fit in 80GB.

Best Value

H100 currently offers better value due to wider availability and lower cost. B200 value improves as supply increases.

Frequently Asked Questions

How much faster is the B200 than the H100?

The B200 delivers approximately 1.8x the FP16 performance (1,800 vs 990 TFLOPS) and has 2.4x the memory (192GB vs 80GB). Real-world training speedups vary by workload.

Should I wait for B200 or use H100 now?

If you need GPUs now, the H100 is widely available and highly capable. If you're planning a new large-scale training project with flexible timelines, the B200's performance advantage makes it worth considering.