DGX A100 vs H200: Specs, VRAM & Price

Short answer: choose the H200 when 141 GB of VRAM is the gating requirement. Choose the DGX A100 when 80 GB is enough for the workload and the lower hourly rate points that way.

The DGX A100 has 80 GB of VRAM; the H200 has 141 GB.

You can rent both by the hour, no purchase required. DGX A100 from $1.52/GPU/hr; H200 from $3.98/GPU/hr. The DGX A100 is 62% cheaper at the entry rate.

DGX A100

Good for training and inference on models that don't need FP8 kernels

$1.52/hr
Lowest / GPU
$1.52/hr
Median / GPU
80 GB
VRAM
Ampere
Architecture

H200

Good for training and serving frontier-scale LLMs

$3.98/hr
Lowest / GPU
$5.94/hr
Median / GPU
141 GB
VRAM
Hopper
Architecture

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

Specs side by side

SpecDGX A100H200
VRAM80 GB141 GB
Memory bandwidth–4.8 TB/s
ArchitectureAmpereHopper
Compute capability8.09.0
Precisions in hardwareFP32, FP16, BF16, INT4FP32, FP16, BF16, FP8, INT4
Peak FP16/BF16 tensor TFLOPS–989 TFLOPS
Peak FP8 tensor TFLOPS–1,979 TFLOPS
NVLink / multi-GPU interconnect–NVLink 4, 900 GB/s bidirectional
Max board power (TDP)–Up to 700W (configurable)
Form factor–SXM
Regions14

On-demand price

RateDGX A100H200
Lowest per GPU/hr$1.52/GPU/hr$3.98/GPU/hr

Which is better for AI: DGX A100 or H200?

Choose the H200 when 141 GB of VRAM is the gating requirement. Choose the DGX A100 when 80 GB is enough for the workload and the lower hourly rate points that way.

DGX A100 vs H200: common questions

Is the DGX A100 or the H200 better for AI?

Short answer: choose the H200 when 141 GB of VRAM is the gating requirement. Choose the DGX A100 when 80 GB is enough for the workload and the lower hourly rate points that way.

Is the DGX A100 or the H200 cheaper to rent?

On Aquanode's live marketplace the DGX A100 starts at $1.52/GPU/hr (median $1.52/GPU/hr) and the H200 starts at $3.98/GPU/hr (median $5.94/GPU/hr). The DGX A100 is the cheaper of the two at the entry rate, by 62%.

What is the difference between the DGX A100 and the H200?

The DGX A100 has 80 GB of VRAM against the H200's 141 GB; the DGX A100 is an Ampere part and the H200 is Hopper (compute capability 8.0 vs 9.0); only the H200 supports FP8 compute. On price, the DGX A100 lists from $1.52/GPU/hr and the H200 from $3.98/GPU/hr.

How widely available are the DGX A100 and the H200?

The DGX A100 is listed in 1 region and the H200 in 4 regions right now.

How much does 1,000 GPU-hours cost on the DGX A100 vs the H200?

At the lowest rates listed today, 1,000 GPU-hours costs $1,518 on the DGX A100 and $3,982 on the H200, a difference of $2,464 for the same runtime. Rates are per GPU per hour and update hourly.

How much VRAM does the DGX A100 have compared to the H200?

The DGX A100 has 80 GB of VRAM; the H200 has 141 GB.

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 DGX A100 page and H200 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 DGX A100 VRAM calculator and the H200 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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