A100 vs H200

AmperevsHopperUpdated 40 days ago

The H200 emerges as the superior choice for prevalent AI workloads like LLM training and inference: its 141 GB VRAM, 1979 TFLOPS FP16, and 4800 GB/s bandwidth outperform the A100's 80 GB maximum, 312 TFLOPS FP16, and 2039 GB/s. Higher pricing reflects these gains, justified for memory-bound tasks.

A100 from $0.73/hrH200 from $1.99/hr

Specifications Compared

SpecA100H200
TDP400W700W
VRAM40-80 GB141 GB
CUDA Cores6,91216,896
Memory TypeHBM2eHBM3e
ArchitectureAmpereHopper
Form FactorsSXM4, PCIeSXM, NVL
InterconnectNVLink, PCIe 4.0, InfiniBandNVLink, PCIe 5.0, InfiniBand
Tensor Cores432528
FP16 Performance312 TFLOPS1,979 TFLOPS
FP32 Performance19.5 TFLOPS67 TFLOPS
FP64 Performance9.7 TFLOPS34 TFLOPS
INT8 Performance624 TOPS3,958 TOPS
Memory Bandwidth2,039 GB/s4,800 GB/s

Performance Analysis

The H200's FP16 performance reaches 1979 TFLOPS, surpassing the A100's 312 TFLOPS by over six times: this acceleration shortens training times for deep learning models reliant on half-precision computations. FP32 capabilities also favor the H200 at 67 TFLOPS versus 19.5 TFLOPS, benefiting scientific simulations and precision-bound applications. The H200's FP8 rating of 3958 TFLOPS introduces efficiency gains for inference on quantized models.

Memory bandwidth constitutes a critical delta: the H200's 4800 GB/s compared to 2039 GB/s enables larger batch sizes in training, reducing iterations per epoch and mitigating memory bottlenecks for models exceeding 80 GB VRAM. The H200's 141 GB HBM3e capacity accommodates full-parameter loading of massive transformers, whereas the A100's 40 to 80 GB HBM2e often requires model parallelism.

Power consumption reflects these advances. The H200 demands 700W TDP against the A100's 400W, implying higher operational costs in dense clusters. Interconnects advance too: H200 supports PCIe 5.0 alongside NVLink and InfiniBand, versus A100's PCIe 4.0, enhancing multi-GPU scaling in modern fabrics.

Live Cloud Pricing

Real-time prices from 25+ providers. Updated every 60 seconds.

A100

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Vast.ai
Vast.ai
NVIDIA A100 SXM4 80GB
80GB VRAM
$0.73/GPU/hr
Available
Vast.ai
Vast.ai
2×NVIDIA A100 SXM4 80GB
80GB VRAM
$0.73/GPU/hr
$1.47/hr total (2×)
Available
LeaderGPU
LeaderGPU
8×NVIDIA A100 PCIe 80GB
80GB VRAM
$0.90/GPU/hr
$7.20/hr total (8×)
Available
Vast.ai
Vast.ai
NVIDIA A100 SXM4 80GB
80GB VRAM
$1.07/GPU/hr
Available
Denvr
Denvr
8×NVIDIA A100 SXM4 80GB
80GB VRAM
$1.15/GPU/hr
$9.20/hr total (8×)

H200

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Vultr
Vultr
NVIDIA GH200 Grace Hopper
96GB VRAM
$1.99/GPU/hr
Available
Lambda Labs
Lambda Labs
NVIDIA GH200 Grace Hopper
96GB VRAM
$2.29/GPU/hr
Available
Nebius
Nebius
NVIDIA H200 SXM
141GB VRAM
$2.45/GPU/hr
CoreWeave
CoreWeave
8×NVIDIA H200 SXM
141GB VRAM
$2.58/GPU/hr
$20.64/hr total (8×)
Ori
Ori
NVIDIA H200 SXM
141GB VRAM
$3.50/GPU/hr
Available

Compare real-time pricing across 25+ providers

When to Choose the A100

Budget constraints favor the A100: its cloud pricing starts at $0.13 per hour with 34 live offers, far outnumbering the H200's 9 offers from $0.49 per hour. Workloads fitting within 80 GB HBM2e VRAM, such as fine-tuning mid-sized models or Stable Diffusion generation, leverage the A100's 312 TFLOPS FP16 without excess capacity.

Legacy infrastructure or power-limited environments suit the A100's 400W TDP and PCIe 4.0 compatibility. Abundant availability ensures quick provisioning for prototyping or intermittent tasks.

When to Choose the H200

Large-scale LLM training demands the H200: 141 GB HBM3e VRAM and 4800 GB/s bandwidth handle models beyond 80 GB without sharding. FP16 at 1979 TFLOPS accelerates epochs significantly over the A100's 312 TFLOPS.

Inference for production serving benefits from FP8 at 3958 TFLOPS and Hopper optimizations, enabling higher throughput on quantized deployments despite the 700W TDP.

Use Cases

LLM Training
H200

The H200's 141 GB HBM3e VRAM and 1979 TFLOPS FP16 support full loading and rapid training of massive models. The A100's 80 GB limit necessitates parallelism.

LLM Inference
H200

FP8 performance at 3958 TFLOPS and 4800 GB/s bandwidth enable high-throughput serving of large quantized models. A100 struggles with models over 80 GB.

Fine-tuning
Either

A100 suffices for models under 80 GB at lower cost from $0.13 per hour. H200 accelerates larger fine-tunes with 141 GB VRAM.

Stable Diffusion
H200

H200's higher FP16 at 1979 TFLOPS speeds image generation batches. Bandwidth advantage reduces latency over A100's 2039 GB/s.

Scientific Computing
H200

FP32 at 67 TFLOPS outperforms A100's 19.5 TFLOPS for simulations. 141 GB VRAM aids complex datasets.

Frequently Asked Questions

What is the VRAM capacity of A100 versus H200?

The A100 provides 40 to 80 GB HBM2e VRAM. The H200 offers 141 GB HBM3e VRAM, enabling larger models without partitioning.

Which GPU has higher FP16 performance?

The H200 achieves 1979 TFLOPS in FP16. The A100 delivers 312 TFLOPS, making H200 over six times faster for training.

How do cloud prices compare for A100 and H200?

A100 starts at $0.13 per hour, averaging $1.33 per hour across 34 offers. H200 begins at $0.49 per hour, averaging $3.77 per hour across 9 offers.

What are the memory bandwidth differences?

A100 memory bandwidth reaches 2039 GB/s. H200 provides 4800 GB/s, supporting bigger batches and fewer memory stalls.

Which GPU consumes more power?

The H200 has a 700W TDP. The A100 uses 400W, suiting lower-power setups.

What architectures power these GPUs?

A100 uses Ampere from 2020. H200 employs Hopper from 2024, with FP8 support at 3958 TFLOPS.

Which is cheaper to rent, the A100 or the H200?

Cloud rental prices for both the A100 and H200 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 H200?

The A100 has 40 to 80 GB of HBM2e memory. The H200 has 141 GB of HBM3e memory.

Can I find A100 and H200 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 H200?

The A100 uses the Ampere architecture (2020) while the H200 uses Hopper (2024). The H200 delivers 6.3x the FP16 throughput and 2.4x the memory bandwidth of the A100.

A100 vs H200: 6.3x FP16 Gap, 141GB vs 80GB | GPUPerHour