A100 vs H100

AmperevsHopperUpdated 40 days ago

The H100 emerges as the superior choice for most AI workloads like LLM training and inference. It delivers 6x FP16 performance (1979 versus 312 TFLOPS) and 64% higher bandwidth (3350 versus 2039 GB/s), enabling faster iterations despite higher costs averaging $2.62/hr.

A100 from $0.73/hrH100 from $1.90/hr

Specifications Compared

SpecA100H100
TDP400W700W
VRAM40-80 GB80-94 GB
CUDA Cores6,91216,896
Memory TypeHBM2eHBM3
ArchitectureAmpereHopper
Form FactorsSXM4, PCIeSXM5, PCIe, 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/s3,350 GB/s

Performance Analysis

The H100 outperforms the A100 significantly in compute capabilities, with 1979 TFLOPS FP16 compared to 312 TFLOPS and 67 TFLOPS FP32 against 19.5 TFLOPS. This delta accelerates deep learning training, where FP16 handles most matrix operations, reducing epochs from days to hours on large datasets. FP32 improvements benefit scientific simulations requiring precise single-precision math.

H100's 3350 GB/s memory bandwidth exceeds A100's 2039 GB/s, enabling larger batch sizes in training without memory bottlenecks; for instance, models with billions of parameters fit more comfortably on H100's 94 GB HBM3. Inference sees further gains from H100's 3958 TFLOPS FP8, ideal for serving quantized models at scale. Higher TDP of 700W on H100 versus 400W demands robust cooling but yields proportional throughput increases.

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×)

H100

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Hyperstack
Hyperstack
4×NVIDIA H100 PCIe
80GB VRAM
$1.90/GPU/hr
$7.60/hr total (4×)
Available
Hyperstack
Hyperstack
2×NVIDIA H100 PCIe
80GB VRAM
$1.90/GPU/hr
$3.80/hr total (2×)
Available
Hyperstack
Hyperstack
8×NVIDIA H100 PCIe
80GB VRAM
$1.90/GPU/hr
$15.20/hr total (8×)
Available
Hyperstack
Hyperstack
NVIDIA H100 PCIe
80GB VRAM
$1.90/GPU/hr
Available
Hyperstack
Hyperstack
8×NVIDIA H100 PCIe
80GB VRAM
$1.95/GPU/hr
$15.60/hr total (8×)
Available

Compare real-time pricing across 25+ providers

When to Choose the A100

The A100 suits budget-conscious projects or legacy workflows optimized for Ampere. Its lower pricing, from $0.13/hr average $1.33/hr across 34 offers, makes it viable for fine-tuning smaller models or inference on datasets fitting within 80 GB HBM2e. Deployments with PCIe 4.0 infrastructure favor A100 to avoid upgrade costs.

When to Choose the H100

The H100 excels in demanding AI tasks requiring peak efficiency. Its 1979 TFLOPS FP16 and 3350 GB/s bandwidth handle massive LLM training or high-throughput inference, justifying $0.80/hr starting price. Users with NVLink or PCIe 5.0 setups leverage H100 for scaling beyond A100 limits.

Use Cases

LLM Training
H100

H100's 1979 TFLOPS FP16 and 67 TFLOPS FP32 vastly outpace A100's 312 TFLOPS and 19.5 TFLOPS, speeding up training of billion-parameter models. Higher 3350 GB/s bandwidth supports larger batches.

LLM Inference
H100

H100's 3958 TFLOPS FP8 enables ultra-fast quantized inference, far beyond A100 capabilities. 94 GB HBM3 handles concurrent requests efficiently.

Fine-tuning
Either

A100 suffices for fine-tuning on 40-80 GB datasets at lower $1.33/hr average cost. H100 accelerates with superior FP16 if scale demands it.

Stable Diffusion
H100

H100's memory bandwidth of 3350 GB/s and FP16 performance generate images faster than A100's 2039 GB/s setup. Larger VRAM aids high-resolution tasks.

Scientific Computing
H100

H100's 67 TFLOPS FP32 outperforms A100's 19.5 TFLOPS for simulations. Enhanced interconnects like PCIe 5.0 improve multi-node scalability.

Frequently Asked Questions

Which GPU has more VRAM?

H100 offers 80-94 GB HBM3, exceeding A100's 40-80 GB HBM2e. This allows H100 to manage larger models without splitting across GPUs. Bandwidth also favors H100 at 3350 GB/s over 2039 GB/s.

How do prices compare?

A100 starts at $0.13/hr with average $1.33/hr across 34 offers; H100 from $0.80/hr average $2.62/hr across 22 offers. A100 provides better value for lighter workloads.

Is H100 faster for training?

Yes, H100's 1979 TFLOPS FP16 is over 6x A100's 312 TFLOPS. FP32 at 67 TFLOPS beats 19.5 TFLOPS, cutting training times significantly.

What is the power difference?

H100 has 700W TDP versus A100's 400W. H100 requires advanced cooling but delivers higher performance density.

Which supports newer interconnects?

H100 includes PCIe 5.0 and SXM5/NVL form factors alongside NVLink. A100 relies on PCIe 4.0 and SXM4.

Does H100 have FP8?

H100 provides 3958 TFLOPS FP8 for inference acceleration; A100 lacks this precision. It boosts low-precision serving workloads.

Which is cheaper to rent, the A100 or the H100?

Cloud rental prices for both the A100 and H100 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 H100?

The A100 has 40 to 80 GB of HBM2e memory. The H100 has 80 to 94 GB of HBM3 memory.

Can I find A100 and H100 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 H100?

The A100 uses the Ampere architecture (2020) while the H100 uses Hopper (2022). The H100 delivers 6.3x the FP16 throughput and 1.6x the memory bandwidth of the A100.

A100 vs H100: 6x FP16 Performance, 2x the Price | GPUPerHour