GPU comparison

A30 vs H200

Specifications and current cloud pricing, side by side.

AmperevsHopperUpdated 34 days ago

The H200 GPU wins for the most common use case of LLM inference because its 989 TFLOPS dense FP16 rating and 141 GB memory exceed the corresponding 165 TFLOPS and 24 GB figures of the A30 by substantial margins.

A30 listed from $0.35/GPU/hrH200 listed from $4.47/GPU/hr

Right now, from live stock

  • Cheapest right now: H200 at $4.47/hr on DigitalOcean

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  • Most providers in stock: H200 (6)

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Specifications Compared

SpecA30H200
TDP165W700W
VRAM24 GB141 GB
CUDA Cores3,58416,896
FP8 (dense)Not published1,979 TFLOPS
Memory TypeHBM2HBM3e
ArchitectureAmpereHopper
FP16 (dense)165 TFLOPS989 TFLOPS
Form FactorsPCIeSXM, NVL
INT8 (dense)330 TOPS1,979 TOPS
InterconnectNVLink, PCIe 4.0NVLink, PCIe 5.0, InfiniBand
Tensor Cores224528
FP32 Performance10.3 TFLOPS67 TFLOPS
FP64 Performance5.2 TFLOPS34 TFLOPS
Memory Bandwidth933 GB/s4,800 GB/s
FP8 (with sparsity)Not published3,958 TFLOPS
FP16 (with sparsity)330 TFLOPS1,979 TFLOPS
INT8 (with sparsity)661 TOPS3,958 TOPS

Performance Analysis

Dense FP16 performance reaches 165 TFLOPS on the A30 and 989 TFLOPS on the H200 while sparse FP16 performance reaches 330 TFLOPS on the A30 and 1979 TFLOPS on the H200. The FP16 to FP32 ratio equals 165 divided by 10.3 on the A30 and 989 divided by 67 on the H200. These ratios indicate acceleration potential for mixed precision operations during training and inference workloads. Memory bandwidth of 4800 GB/s on the H200 versus 933 GB/s on the A30 supports larger batch sizes in memory intensive tasks. Dense INT8 performance equals 330 TOPS on the A30 and 1979 TOPS on the H200 while sparse INT8 performance equals 661 TOPS on the A30 and 3958 TOPS on the H200. The H200 therefore sustains higher throughput in both dense and sparse modes across identical precision categories.

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.

A30

A30 is not offered on-demand by any provider we track right now. See the A30 rental page for last-seen listed prices and a price alert.

H200

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
DigitalOceanAtlanta 11$4.47—Deploy
Vast.aiCzechia, CZ1$4.96—Deploy
RunPodglobal1$5.29—Deploy
VERDAFIN-HEL8$5.66$45.26Deploy
LyceumEurope8$6.19$49.52Deploy

6 providers in stock, 10 offers (cheapest per provider shown). All H200 offers, price history and alerts

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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.

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When to Choose the A30

The A30 GPU suits deployments constrained by a 165W TDP limit and PCIe form factor availability. Its 24 GB HBM2 capacity and 933 GB/s bandwidth align with workloads that do not require the 141 GB or 4800 GB/s of the H200. Lower power draw favors sustained operation in dense rack environments where 700W TDP units exceed cooling capacity.

When to Choose the H200

Its support for PCIe 5.0 and InfiniBand interconnects enables scaling beyond the NVLink and PCIe 4.0 limits of the A30. Higher FP32 performance at 67 TFLOPS further favors the H200 for compute heavy scientific tasks.

Use Cases

LLM Training
H200

The H200 provides 989 TFLOPS dense FP16 and 141 GB memory versus 165 TFLOPS and 24 GB on the A30.

LLM Inference
H200

The H200 delivers 1979 TFLOPS sparse FP16 and 4800 GB/s bandwidth for larger batch handling than the A30.

Fine-tuning
H200

The H200 supplies 1979 TOPS dense INT8 performance compared with 330 TOPS on the A30.

Stable Diffusion
H200

The H200 offers 1979 TFLOPS dense FP8 performance absent from the A30 specification.

Scientific Computing
Either

The A30 operates at 165W TDP while the H200 reaches 67 TFLOPS FP32 for higher throughput when power allows.

Frequently Asked Questions

How does memory bandwidth compare between the A30 and H200?▾

The A30 reaches 933 GB/s bandwidth. The H200 reaches 4800 GB/s bandwidth.

What are the FP32 ratings for the A30 and H200?▾

The A30 achieves 10.3 TFLOPS in FP32. The H200 achieves 67 TFLOPS in FP32.

Which GPU has higher dense FP16 performance?▾

The H200 reaches 989 TFLOPS dense FP16. The A30 reaches 165 TFLOPS dense FP16.

What interconnect options exist on each GPU?▾

The A30 supports NVLink and PCIe 4.0. The H200 supports NVLink, PCIe 5.0, and InfiniBand.

How do TDP values differ between the two GPUs?▾

The A30 lists a TDP of 165W. The H200 lists a TDP of 700W.

Which is cheaper to rent, the A30 or the H200?▾

Cloud rental prices for both the A30 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 A30 have compared to the H200?▾

The A30 has 24 GB of HBM2 memory. The H200 has 141 GB of HBM3e memory.

Can I find A30 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 A30 and the H200?▾

The A30 uses the Ampere architecture (2021) while the H200 uses Hopper (2024). The H200 delivers 6.0x the dense FP16 throughput (989 vs 165 TFLOPS, both without sparsity) and 5.1x the memory bandwidth of the A30.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the A30 and the H200. 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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