B200 vs H100: Specs, VRAM & Price

Short answer: pick the B200 when you want the newer Blackwell generation and it's priced and available where you need it. Pick the H100 when H100 availability is far wider today and your workload is already validated on Hopper.

The B200 has 180 GB of VRAM; the H100 has 80 GB.

You can rent both by the hour, no purchase required. B200 from $9.35/GPU/hr; H100 from $2.98/GPU/hr. The H100 is 68% cheaper at the entry rate.

B200

Good for training and serving frontier-scale LLMs

$9.35/hr
Lowest / GPU
$9.35/hr
Median / GPU
180 GB
VRAM
Blackwell
Architecture

H100

Good for training and serving frontier-scale LLMs

$2.98/hr
Lowest / GPU
$3.84/hr
Median / GPU
80 GB
VRAM
Hopper
Architecture

Last updated: 2026-11-03 UTCRefreshes every 6 hours

Specs side by side

SpecB200H100
VRAM180 GB80 GB
Memory bandwidth8 TB/s3.35 TB/s
ArchitectureBlackwellHopper
Compute capability10.09.0
Precisions in hardwareFP32, FP16, BF16, FP8, INT4FP32, FP16, BF16, FP8, INT4
Peak FP16/BF16 tensor TFLOPS2,250 TFLOPS989 TFLOPS
Peak FP8 tensor TFLOPS4,500 TFLOPS1,979 TFLOPS
NVLink / multi-GPU interconnectNVLink 5, 1.8 TB/s per GPUNVLink 4, 900 GB/s bidirectional
Max board power (TDP)Up to 1,000WUp to 700W (configurable)
Form factorSXMSXM5
Regions17

On-demand price

RateB200H100
Lowest per GPU/hr$9.35/GPU/hr$3.00/GPU/hr

Which is better for AI: B200 or H100?

Both are FP8-capable, but the B200 is a Blackwell-generation part against the H100's Hopper generation (lib/tools/gpu-capabilities.ts). Aquanode has no verified single-GPU VRAM or bandwidth figure for the B200 to cite here, so the honest comparison for most renters is generation, availability and price, not a spec-sheet number this page can back with a source. Pick the B200 when you want the newer Blackwell generation and it's priced and available where you need it; pick the H100 when H100 availability is far wider today and your workload is already validated on Hopper. On price the H100 undercuts the B200 by 68% at the entry rate ($2.98 vs $9.35/GPU/hr). Worth weighing if the deciding factor above isn't a hard requirement for your job.

Decision criteria

ArchitectureBlackwell (B200) vs Hopper (H100).
Compute precisionBoth support FP8 in hardware (lib/tools/gpu-capabilities.ts), no precision-support gap.
VRAM180 GB (B200) vs 80 GB (H100), live from current listings.
Availability1 region(s) list the B200 vs 7 for the H100. H100 is the far more established SKU.
Entry price$9.35/GPU/hr (B200) vs $2.98/GPU/hr (H100).

Pick the B200 when

  • You want the newer Blackwell generation and it's available where you need it
  • You're evaluating next-gen hardware ahead of a larger commitment
  • Your workload is priced competitively on current B200 supply

Pick the H100 when

  • You need the widest availability today
  • Your workload is already validated on Hopper with no clear reason to move
  • H100 pricing beats B200 for your job size

Price-performance

At list rates, 1,000 GPU-hours costs $2,980 on the H100 against $9,350 on the B200. Neither NVIDIA nor Aquanode publishes a workload-normalized $/token or $/epoch figure for this pair, so $/GPU-hour below is the only apples-to-apples number. A faster card can still cost less per finished job even at a higher hourly rate.

B200 vs H100: common questions

Is the B200 or the H100 better for AI?

Short answer: pick the B200 when you want the newer Blackwell generation and it's priced and available where you need it. Pick the H100 when H100 availability is far wider today and your workload is already validated on Hopper.

Is the B200 or the H100 cheaper to rent?

On Aquanode's live marketplace the B200 starts at $9.35/GPU/hr (median $9.35/GPU/hr) and the H100 starts at $2.98/GPU/hr (median $3.84/GPU/hr). The H100 is the cheaper of the two at the entry rate, by 68%.

What is the difference between the B200 and the H100?

The B200 has 180 GB of VRAM against the H100's 80 GB; the B200 is a Blackwell part and the H100 is Hopper (compute capability 10.0 vs 9.0); both run BF16, FP8, INT4 workloads in hardware. On price, the B200 lists from $9.35/GPU/hr and the H100 from $2.98/GPU/hr.

How widely available are the B200 and the H100?

The B200 is listed in 1 region and the H100 in 7 regions right now.

How much does 1,000 GPU-hours cost on the B200 vs the H100?

At the lowest rates listed today, 1,000 GPU-hours costs $9,350 on the B200 and $2,980 on the H100, a difference of $6,370 for the same runtime. Rates are per GPU per hour and update hourly.

How much VRAM does the B200 have compared to the H100?

The B200 has 180 GB of VRAM; the H100 has 80 GB.

Should I wait for B200 supply instead of renting an H100 now?

Only if B200 availability and price already work for you. It currently lists from $9.35/GPU/hr in 1 region(s), against the H100's $2.98/GPU/hr in 7. The H100 remains the far more available SKU right now, which matters if you need capacity today rather than whenever B200 supply catches up.

Does the B200 or the H100 support NVLink?

Yes, both support a multi-GPU interconnect: the B200 has NVLink 5, 1.8 TB/s per GPU and the H100 has NVLink 4, 900 GB/s bidirectional.

How this comparison is calculated

Every price is normalized to a per-GPU hourly rate using the same pipeline as every other pricing surface on Aquanode, and only the cheapest qualifying offer per provider is shown. A dash means that provider does not currently list that GPU.

Architecture, compute capability and supported precisions come from each vendor's published datasheet for that generation, not from the marketplace feed. This page regenerates at most once per hour.

Memory bandwidth, tensor TFLOPS, NVLink/interconnect and max board power are the same verified-from-datasheet figures shown on each model's own B200 page and H100 page, which link the primary vendor source for that model. A dash here means Aquanode hasn't verified that figure from a primary source yet, never a guess.

Go further

Check what fits in each card's memory with the B200 VRAM calculator and the H100 VRAM calculator, see vendor-published throughput in the GPU benchmarks and specs table, or browse every model by generation in the GPU index.

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