GPU comparison

A100 vs GH200

Specifications and current cloud pricing, side by side.

AmperevsHopperUpdated 27 days ago

The GH200 provides the stronger choice for the most common use case of LLM training. Its 989 TFLOPS dense FP16 and 4000 GB/s bandwidth exceed the corresponding 312 TFLOPS and 2039 GB/s figures of the A100 by substantial margins that reduce iteration time.

A100 from $0.68/GPU/hrGH200 from $1.99/GPU/hr

Right now, from live stock

  • Cheapest right now: A100 at $0.68/hr on LeaderGPU

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  • Most providers in stock: A100 (9)

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  • Best $ per TFLOPS FP16 dense right now: GH200 ($0.0020 per TFLOPS-hour at 989 TFLOPS)

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Specifications Compared

SpecA100GH200
TDP400W900W
VRAM40-80 GB96 GB
CUDA Cores6,91216,896
FP8 (dense)Not published1,979 TFLOPS
Memory TypeHBM2eHBM3
ArchitectureAmpereHopper
FP16 (dense)312 TFLOPS989 TFLOPS
Form FactorsSXM4, PCIeSXM
INT8 (dense)624 TOPS1,979 TOPS
InterconnectNVLink, PCIe 4.0, InfiniBandNVLink-C2C, PCIe 5.0
Tensor Cores432528
FP32 Performance19.5 TFLOPS67 TFLOPS
FP64 Performance9.7 TFLOPS34 TFLOPS
Memory Bandwidth2,039 GB/s4,000 GB/s
FP8 (with sparsity)Not published3,958 TFLOPS
FP16 (with sparsity)624 TFLOPS1,979 TFLOPS
INT8 (with sparsity)1,248 TOPS3,958 TOPS

Performance Analysis

Dense FP16 performance of 312 TFLOPS on the A100 versus 989 TFLOPS on the GH200 shows that the GH200 executes dense matrix operations more than three times faster. This gap affects training duration and inference latency for workloads that use dense FP16 computations. The corresponding FP32 values of 19.5 TFLOPS versus 67 TFLOPS extend the same advantage to non tensor floating point kernels. FP16 with sparsity delivers 624 TFLOPS on the A100 and 1979 TFLOPS on the GH200. Ratios between the two GPUs remain comparable when both figures use sparsity or both figures use dense mode.

Current On-Demand Offers

Cheapest secure on-demand offer per provider that is reported in stock right now, per GPU per hour; multi-GPU instances show the whole-instance price alongside. Deploy opens the DeployGPU console for providers on the platform, otherwise the provider's own site. Stock is rechecked every minute.

A100

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
LeaderGPUThe Netherlands8$0.68$5.42Deploy
Vast.aiSlovenia, SI1$0.73—Deploy
ThunderComputeUSA2$1.09$2.18Deploy
Massed Computeus-central-31$1.35—Deploy
HyperstackCANADA-11$1.35—Deploy

9 providers in stock, 30 offers (cheapest per provider shown). All A100 offers, price history and alerts

GH200

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
VultrFrankfurt, DE1$1.99—Deploy

1 provider in stock, 1 offer. All GH200 offers, price history and alerts

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When to Choose the A100

The A100 suits environments where power delivery is limited to 400W TDP. Its 40 to 80 GB VRAM capacity meets requirements for models that fit within that range while its 2039 GB/s bandwidth supports moderate batch sizes. Existing NVLink and InfiniBand fabrics already deployed for Ampere systems integrate directly with the A100 without architecture changes.

When to Choose the GH200

The GH200 fits workloads that require 96 GB VRAM and 4000 GB/s bandwidth for larger batches or longer context lengths. Its 989 TFLOPS dense FP16 and 67 TFLOPS FP32 figures shorten training and inference times compared with the A100. New installations that adopt PCIe 5.0 and NVLink C2C benefit from the higher interconnect speeds of the GH200.

Use Cases

LLM Training
GH200

The GH200 supplies 989 TFLOPS dense FP16 and 4000 GB/s bandwidth that exceed the 312 TFLOPS and 2039 GB/s of the A100.

LLM Inference
GH200

The GH200 delivers 1979 TFLOPS FP8 dense that exceed the INT8 dense 624 TOPS of the A100 for quantized inference.

Fine-tuning
GH200

The GH200 provides 96 GB VRAM and 1979 TFLOPS FP16 with sparsity that support larger adapter modules than the A100.

Stable Diffusion
Either

Both GPUs handle the workload with the A100 at 312 TFLOPS dense FP16 and the GH200 at 989 TFLOPS dense FP16.

Scientific Computing
GH200

The GH200 supplies 67 TFLOPS FP32 that exceed the 19.5 TFLOPS of the A100 for double precision adjacent workloads.

Frequently Asked Questions

What is the memory bandwidth difference?▾

The A100 reaches 2039 GB/s while the GH200 reaches 4000 GB/s.

Which GPU has higher dense FP16 performance?▾

The GH200 reaches 989 TFLOPS dense FP16 while the A100 reaches 312 TFLOPS dense FP16.

How do the TDP values compare?▾

The A100 lists 400W TDP while the GH200 lists 900W TDP.

What FP32 performance do the GPUs offer?▾

The A100 provides 19.5 TFLOPS FP32 while the GH200 provides 67 TFLOPS FP32.

Which is cheaper to rent, the A100 or the GH200?▾

Cloud rental prices for both the A100 and GH200 vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.

How much VRAM does the A100 have compared to the GH200?▾

The A100 has 40 to 80 GB of HBM2e memory. The GH200 has 96 GB of HBM3 memory.

Can I find A100 and GH200 GPUs available to rent right now?▾

Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.

What is the main difference between the A100 and the GH200?▾

The A100 uses the Ampere architecture (2020) while the GH200 uses Hopper (2023). The GH200 delivers 3.2x the dense FP16 throughput (989 vs 312 TFLOPS, both without sparsity) and 2.0x the memory bandwidth of the A100.

Rent these GPUs

Each GPU page lists every current on-demand offer by provider, per GPU-hour, updated every minute.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the A100 and the GH200. Dense and sparse throughput are listed separately.
  • Prices and availability are live: every offer shown is an in-stock, on-demand listing from a provider we track, rechecked every minute.
  • The written comparison (overview, performance notes, when to choose each card, verdict, use cases and FAQ) was drafted with an AI model from the specification table above and passed an automated check that rejects any figure not in that table. It was last generated on . It contains no prices; those are always read live.
  • Read how we collect the data, or report an error on this page.

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