GPU comparison · Hopper vs Blackwell

NVIDIA H100 vs B200.

Hopper against Blackwell. Per GPU, the B200 has 2.25× the memory (180 GB), 2.4× the bandwidth (8 TB/s), about 2.3× the dense FP8 and BF16 throughput and FP4 support. The H100 costs about half as much per month and runs every framework out of the box.

Rent the H100 Rent the B200

80 vs 180 GBGPU memory
3.35 vs 8 TB/smemory bandwidth
$1,779 vs $3,439per GPU, per month

H100 vs B200: which one to rent.

Choose the H100 if

Your models fit in 80 GB per GPU and you want the lowest price per GPU: $1,779 a month.
You fine-tune or serve small and mid-size models on a proven, fully tuned software stack.
You need FP64 tensor math (67 TFLOPS on Hopper).

NVIDIA H100 servers from $1,779/mo

Choose the B200 if

You need throughput per GPU for training or high-traffic inference.
Your models need more than 80 GB per GPU, or you want FP4.
You scale over 8 GPUs: NVLink 5 at 1.8 TB/s per GPU, twice the H100.

NVIDIA B200 servers from $3,439/mo

H100 vs B200 specs, side by side.

Figures from NVIDIA’s published specifications, per GPU. Tensor figures are peak dense throughput.

H100 vs B200 specifications
Per GPU	NVIDIA H100	NVIDIA B200	B200 / H100
Architecture	Hopper, TSMC 4N	Blackwell, TSMC 4NP	—
Form factor	SXM5 module	SXM module (HGX B200)	—
GPU memory	80 GB HBM3, 5,120-bit	180 GB HBM3e	2.3×
Memory bandwidth	3.35 TB/s	Up to 8 TB/s	2.4×
GPU-to-GPU link	NVLink 4, 900 GB/s per GPU	NVLink 5, 1.8 TB/s per GPU	2×
FP4 tensor (dense)	Not supported	9.0 PFLOPS	—
FP8 tensor (dense)	1,979 TFLOPS	4,500 TFLOPS	2.3×
FP16 / BF16 tensor (dense)	989 TFLOPS	2,250 TFLOPS	2.3×
FP64	34 / 67 TFLOPS	37 TFLOPS	1.09×
Max power	Up to 700 W, configurable	Up to 1,000 W, configurable	—
GPUs per server	1, 2, 4, 8	1, 2, 4, 8	—
Per GPU in our servers	20 vCPU · 200 GB RAM · 2 TB	28 vCPU · 288 GB RAM · 3.84 TB	—

Sources: NVIDIA H100 · NVIDIA HGX · NVIDIA DGX B200. Full sheets: H100 · B200

H100 vs B200 rental price.

Our monthly prices, set 30% below the market median of public on-demand prices and paid in crypto. Hourly figures are the monthly price divided by 730 hours.

H100 vs B200 rental prices
CryptGPU	NVIDIA H100	NVIDIA B200	B200 / H100
Price per GPU, per month	$1,779	$3,439	1.93×
Equivalent per GPU-hour	$2.44	$4.71	—
Per GB of GPU memory, per month	$22.24	$19.11	0.86×
Per PFLOPS of dense FP8, per month	$899	$764	0.85×
Largest server	8× · $14,232/mo	8× · $27,512/mo	—
Market median, per GPU	$2,548	$4,920	—
Below the median	−30%	−30%	—

Same price per GPU at every server size, no hourly metering. How we compare prices · Configure an H100 server · Configure a B200 server

Which models fit on each.

Smallest server that holds each model, by precision. Rule of thumb with headroom for the KV cache, 92% of GPU memory usable.

Number of GPUs needed per model on H100 vs B200
Model (total parameters)	H100 · FP8	B200 · FP8	H100 · 4-bit	B200 · 4-bit
Qwen3.5-9B	1×	1×	1×	1×
Gemma 4 31B	1×	1×	1×	1×
Llama 3.3 70B	2×	1×	1×	1×
gpt-oss-120b	2×	1×	2×	1×
DeepSeek-V4-Flash	8×	4×	4×	2×
Qwen3.5-397B-A17B	8×	4×	4×	2×
DeepSeek-R1 (671B)	—	8×	8×	4×
Kimi K2.6 (1T)	—	8×	—	4×

FP8 ≈ 1.2 bytes and 4-bit ≈ 0.65 bytes per parameter. — = larger than the biggest server of that GPU. Size another model · How much VRAM does an LLM need?

H100 vs B200 FAQ.

More on each GPU: NVIDIA H100 · NVIDIA B200.

How much faster is the B200 than the H100?

On paper, about 2.3× the dense FP8 and BF16 throughput and 2.4× the memory bandwidth per GPU. Real speed-ups depend on the model, precision and software; we do not publish benchmarks.

Which is cheaper per unit of compute?

The B200: about $764 per PFLOPS of dense FP8 per month, against $899 on the H100.

Is the H100 still a good buy in 2026?

Yes for fine-tuning and serving models that fit in 80 GB: the software is mature and the price per GPU is low. For new large-scale training, Blackwell gets more done per GPU.

Other GPU comparisons.

Rent the H100 or the B200.

Dedicated servers with 1 to 8 GPUs, one monthly price, paid in crypto. Online in under 10 minutes, no KYC.

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