GPU comparison

H100 vs RTX A4000

Specifications and current cloud pricing, side by side.

HoppervsAmpereUpdated 33 days ago

The H100 wins for the most common use case of large model training because its 989 TFLOPS FP16 dense rating and 3350 GB/s bandwidth exceed the corresponding capabilities of the RTX A4000 by the ratios of the listed specifications.

H100 from $2.59/GPU/hrRTX A4000 from $0.76/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX A4000 at $0.76/hr on Paperspace

    Deploy
  • Most providers in stock: H100 (7)

    See all offers

Specifications Compared

SpecH100RTX A4000
TDP700W140W
VRAM80-94 GB16-20 GB
CUDA Cores16,8966,144
FP8 (dense)1,979 TFLOPSNot published
Memory TypeHBM3GDDR6
ArchitectureHopperAmpere
FP16 (dense)989 TFLOPSNot published
Form FactorsSXM5, PCIe, NVLPCIe
INT8 (dense)1,979 TOPSNot published
InterconnectNVLink, PCIe 5.0, InfiniBandPCIe 4.0
Tensor Cores528192
FP32 Performance67 TFLOPS19.2 TFLOPS
FP64 Performance34 TFLOPSNot published
Memory Bandwidth3,350 GB/s448 GB/s
FP8 (with sparsity)3,958 TFLOPSNot published
FP16 (with sparsity)1,979 TFLOPS153.4 TFLOPS
INT8 (with sparsity)3,958 TOPSNot published

Performance Analysis

The FP16 dense figure of 989 TFLOPS on the H100 exceeds the FP16 with sparsity figure of 153.4 TFLOPS on the RTX A4000 by a factor derived solely from these values and indicates greater capacity for mixed precision operations in training scenarios. FP32 performance at 67 TFLOPS on the H100 compared to 19.2 TFLOPS on the RTX A4000 shows a ratio of these exact numbers that supports faster single precision computations during inference. Memory bandwidth of 3350 GB/s on the H100 versus 448 GB/s on the RTX A4000 allows proportionally larger batch sizes in memory intensive tasks while the TDP of 700W for the H100 and 140W for the RTX A4000 reflects differing power demands for sustained dense FP16 workloads at 989 TFLOPS versus sparse FP16 workloads at 153.4 TFLOPS.

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.

H100

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
QuantaCloudus-midwest-21$2.59—Deploy
Massed Computeus-central-31$2.73—Deploy
Oridallas-22$2.90$5.80Deploy
ScalewayParis, France (PAR2)1$3.23—Deploy
RunPodglobal1$3.99—Deploy

7 providers in stock, 15 offers (cheapest per provider shown). All H100 offers, price history and alerts

RTX A4000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Paperspaceny22$0.76$1.52Deploy

1 provider in stock, 9 offers (cheapest per provider shown). All RTX A4000 offers, price history and alerts

Which GPU to watchWatch the price of

Notify me when H100 drops below a price

One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold. Cheapest right now: $2.59/GPU-hr.

QuantaCloud

Comparing H-series providers? We broker across all of them.

Hopper stock changes by the hour and prices differ by provider. If you need 16+ GPUs reserved or a cluster in the next 90 days, we quote H-series or B300 inventory at partner rates: one quote, 24h turnaround.

No waitlist24hr quote turnaroundInfiniBand fabric

Compare real-time pricing across 25+ providers

When to Choose the H100

The H100 suits scenarios that demand 80-94 GB HBM3 VRAM and 3350 GB/s memory bandwidth for large scale tensor operations. Its FP16 dense performance of 989 TFLOPS and support for NVLink interconnect make it appropriate when FP32 throughput of 67 TFLOPS must scale across multiple units in SXM5 or NVL form factors.

When to Choose the RTX A4000

The RTX A4000 fits environments limited to 140W TDP and PCIe form factor with 16-20 GB GDDR6 VRAM. Its FP32 performance of 19.2 TFLOPS and FP16 with sparsity at 153.4 TFLOPS align with tasks where lower power draw and PCIe 4.0 interconnect suffice without need for 3350 GB/s bandwidth.

Use Cases

LLM Training
H100

The H100 delivers FP16 dense performance of 989 TFLOPS with 80-94 GB HBM3 VRAM that supports larger models than the RTX A4000 provides.

LLM Inference
H100

FP32 throughput of 67 TFLOPS on the H100 combined with 3350 GB/s bandwidth enables higher throughput than the 19.2 TFLOPS and 448 GB/s on the RTX A4000.

Fine-tuning
H100

The H100 FP16 dense rating of 989 TFLOPS and memory bandwidth of 3350 GB/s allow efficient parameter updates at scales beyond the RTX A4000 specifications.

Stable Diffusion
RTX A4000

The RTX A4000 TDP of 140W and PCIe form factor meet requirements for 16-20 GB GDDR6 VRAM workloads without the 700W draw of the H100.

Scientific Computing
Either

FP32 performance of 67 TFLOPS on the H100 or 19.2 TFLOPS on the RTX A4000 can match depending on exact workload size relative to 3350 GB/s or 448 GB/s bandwidth.

Frequently Asked Questions

What is the FP16 performance difference between H100 and RTX A4000?▾

The H100 lists FP16 dense at 989 TFLOPS while the RTX A4000 lists FP16 with sparsity at 153.4 TFLOPS. These figures determine the ratio for dense versus sparse comparisons in tensor workloads.

How does memory bandwidth compare for batch processing?▾

The H100 provides 3350 GB/s bandwidth against 448 GB/s on the RTX A4000. This difference scales the feasible batch sizes in memory bound operations using the listed VRAM capacities.

Which GPU has higher FP32 throughput?▾

The H100 achieves 67 TFLOPS in FP32 while the RTX A4000 reaches 19.2 TFLOPS. The ratio of these values indicates relative single precision compute capacity.

What interconnect options exist for each GPU?▾

The H100 supports NVLink along with PCIe 5.0 and InfiniBand whereas the RTX A4000 uses only PCIe 4.0. These specifications affect multi GPU scaling configurations.

How do TDP values affect deployment choices?▾

The H100 TDP is 700W compared to 140W for the RTX A4000. Deployment decisions follow from these power figures alongside the respective form factors of SXM5 or PCIe.

Can the RTX A4000 run FP8 workloads?▾

FP8 performance is not published by the vendor for the RTX A4000. The H100 provides FP8 dense at 1979 TFLOPS for reference in such precision comparisons.

Which is cheaper to rent, the H100 or the RTX A4000?▾

Cloud rental prices for both the H100 and RTX A4000 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 H100 have compared to the RTX A4000?▾

The H100 has 80 to 94 GB of HBM3 memory. The RTX A4000 has 16 to 20 GB of GDDR6 memory.

Can I find H100 and RTX A4000 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 H100 and the RTX A4000?▾

The H100 uses the Hopper architecture (2022) while the RTX A4000 uses Ampere (2021). The H100 has 80-94 GB of HBM3 at 3,350 GB/s; the RTX A4000 has 16-20 GB of GDDR6 at 448 GB/s, so the H100 has 7.5x the memory bandwidth of the RTX A4000.

Rent these GPUs

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

Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the H100 and the RTX A4000. 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.

Next steps