A100 PCIe 40GB vs H100 SXM5

AmperevsHopperUpdated 35 days ago

NVIDIA H100 SXM5 emerges as the clear winner for most contemporary AI workloads. Its 1979 TFLOPS FP16, 67 TFLOPS FP32, and 3350 GB/s bandwidth deliver up to 6x gains over A100's 312 TFLOPS FP16 and 2039 GB/s, justifying higher costs for training and inference dominance.

A100 PCIe 40GB from $0.73/hrH100 SXM5 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 SXM5 demonstrates superior compute throughput over A100 PCIe 40GB, particularly in FP16 at 1979 TFLOPS versus 312 TFLOPS: this accelerates deep learning training by enabling faster matrix multiplications in neural networks. FP32 performance rises to 67 TFLOPS from 19.5 TFLOPS, benefiting scientific simulations and precision-bound inference tasks. The addition of FP8 at 3958 TFLOPS on H100 optimizes large language model inference with reduced precision requirements.

Memory differences prove critical for real-world scalability: H100's 3350 GB/s bandwidth compared to 2039 GB/s supports larger batch sizes in training, reducing overhead and fitting bigger models into 80 GB HBM3 versus 40 GB HBM2e. Higher TDP of 700W on H100 versus 400W demands robust cooling but yields proportional gains in sustained workloads like LLM fine-tuning.

Live Cloud Pricing

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

A100 PCIe 40GB

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
$1.00/GPU/hr
Available
Denvr
Denvr
4×NVIDIA A100 PCIe 80GB
80GB VRAM
$1.15/GPU/hr
$4.60/hr total (4×)

H100 SXM5

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 PCIe 40GB

Opt for NVIDIA A100 PCIe 40GB in cost-constrained environments or legacy Ampere-optimized codebases. Its pricing from $0.60 per hour and 400W TDP suit smaller-scale deployments, such as fine-tuning mid-sized models within 40 GB VRAM limits. PCIe 4.0 compatibility integrates easily into existing clusters without NVLink upgrades.

When to Choose the H100 SXM5

Select NVIDIA H100 SXM5 for peak performance in cutting-edge AI pipelines. The 1979 TFLOPS FP16 and 80 GB HBM3 excel in training massive LLMs or handling large-batch inference at 3350 GB/s bandwidth. SXM5 form factor with PCIe 5.0 and NVLink supports high-density, multi-GPU supercomputing setups despite 700W power draw.

Use Cases

LLM Training
H100 SXM5

H100's 1979 TFLOPS FP16 and 80 GB HBM3 handle massive datasets and large batch sizes better than A100's 312 TFLOPS and 40 GB VRAM.

LLM Inference
H100 SXM5

FP8 performance at 3958 TFLOPS on H100 accelerates high-throughput serving, surpassing A100's FP16-only 312 TFLOPS.

Fine-tuning
H100 SXM5

H100's 3350 GB/s bandwidth and 67 TFLOPS FP32 enable efficient adaptation of large models, outpacing A100's 2039 GB/s and 19.5 TFLOPS.

Stable Diffusion
Either

A100's 40 GB VRAM suffices for standard image generation at 312 TFLOPS FP16; H100's extras shine only in ultra-high-resolution batches.

Scientific Computing
A100 PCIe 40GB

A100's 19.5 TFLOPS FP32 and lower $1.85 per hour average cost fit simulations within 400W TDP, avoiding H100's power overhead.

Frequently Asked Questions

Which GPU has more VRAM: A100 PCIe 40GB or H100 SXM5?

H100 SXM5 provides 80 GB HBM3, doubling A100 PCIe 40GB's 40 GB HBM2e capacity. This enables larger models without model parallelism. Bandwidth also rises to 3350 GB/s from 2039 GB/s.

How do A100 and H100 compare in FP16 performance?

H100 SXM5 achieves 1979 TFLOPS FP16, over six times A100 PCIe 40GB's 312 TFLOPS. This translates to faster AI training cycles. FP32 improves to 67 TFLOPS from 19.5 TFLOPS.

What are the cloud rental prices for these GPUs?

A100 PCIe 40GB starts at $0.60 per hour, averaging $1.85 across 11 offers. H100 SXM5 begins at $0.80 per hour, averaging $3.54 over 32 offers. Prices reflect performance premiums.

Is H100 more power-hungry than A100?

H100 SXM5 has a 700W TDP, nearly double A100 PCIe 40GB's 400W. This supports higher throughput but requires advanced cooling. Efficiency gains offset in dense clusters.

Can A100 handle LLM inference as well as H100?

A100 PCIe 40GB manages with 312 TFLOPS FP16 but lacks H100's FP8 at 3958 TFLOPS for optimal low-precision serving. H100's 80 GB VRAM fits larger models directly.

What architecture do A100 and H100 use?

A100 employs Ampere from 2020; H100 uses Hopper from 2022. Hopper introduces FP8 and enhanced tensor cores for AI gains over Ampere.

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 PCIe 40GB vs H100 SXM5: 6.3x FP16 Gap, 94GB vs 80GB | GPUPerHour