GPU comparison

H100 vs RTX 2070

Specifications and current cloud pricing, side by side.

HoppervsTuringUpdated 33 days ago

The H100 wins for the most common large model workloads because its 989 TFLOPS FP16 dense rating and 3350 GB per second bandwidth exceed the RTX 2070 specifications by wide margins. The 80 to 94 GB VRAM capacity further enables models that cannot fit on the RTX 2070 8 GB configuration.

H100 listed from $2.50/GPU/hr

Right now, from live stock

  • Cheapest right now: H100 at $2.50/hr on Hyperstack

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  • Most providers in stock: H100 (10)

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Specifications Compared

SpecH100RTX 2070
TDP700W175W
VRAM80-94 GB8 GB
CUDA Cores16,8962,304
FP8 (dense)1,979 TFLOPSNot published
Memory TypeHBM3GDDR6
ArchitectureHopperTuring
FP16 (dense)989 TFLOPS29.9 TFLOPS
Form FactorsSXM5, PCIe, NVLPCIe
INT8 (dense)1,979 TOPS119.4 TOPS
InterconnectNVLink, PCIe 5.0, InfiniBandPCIe 3.0
Tensor Cores528288
FP32 Performance67 TFLOPS7.5 TFLOPS
FP64 Performance34 TFLOPSNot published
Memory Bandwidth3,350 GB/s448 GB/s
FP8 (with sparsity)3,958 TFLOPSNot published
FP16 (with sparsity)1,979 TFLOPSNot published
INT8 (with sparsity)3,958 TOPSNot published

Performance Analysis

FP16 dense performance measures 989 TFLOPS on the H100 compared with 29.9 TFLOPS on the RTX 2070. This gap indicates the H100 processes matrix operations for training and inference at a scale far beyond the RTX 2070. FP16 with sparsity reaches 1979 TFLOPS on the H100 while the RTX 2070 figure remains at its dense value. Memory bandwidth of 3350 GB per second on the H100 supports larger batch sizes during model execution than the 448 GB per second available on the RTX 2070. FP32 throughput at 67 TFLOPS versus 7.5 TFLOPS further separates the two devices for general compute workloads.

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
HyperstackCANADA-11$2.50—Deploy
Vast.aiCzechia, CZ2$2.59$5.17Deploy
QuantaCloudus-midwest-21$2.59—Deploy
Massed Computeus-central-32$2.73$5.46Deploy
Oridallas-22$2.90$5.80Deploy

10 providers in stock, 26 offers (cheapest per provider shown). All H100 offers, price history and alerts

RTX 2070

RTX 2070 is not offered on-demand by any provider we track right now. See the RTX 2070 rental page for last-seen listed prices and a price alert.

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When to Choose the H100

The H100 suits workloads that require 80 to 94 GB HBM3 VRAM and 3350 GB per second memory bandwidth. Large scale training or inference tasks benefit from its 989 TFLOPS FP16 dense rating and 1979 TFLOPS FP16 with sparsity rating. Systems that can accommodate 700 W TDP and NVLink interconnects gain from these specifications.

When to Choose the RTX 2070

The RTX 2070 fits environments limited to 175 W TDP and 8 GB GDDR6 VRAM. Tasks that operate within 29.9 TFLOPS FP16 dense and 7.5 TFLOPS FP32 remain feasible on this device. PCIe 3.0 interconnect and lower power draw align with desktop or small scale deployments.

Use Cases

LLM Training
H100

The H100 provides 989 TFLOPS FP16 dense and 80 to 94 GB VRAM that support large batch training runs.

LLM Inference
H100

FP16 dense performance of 989 TFLOPS and 3350 GB per second bandwidth allow higher throughput on the H100.

Fine-tuning
H100

Memory bandwidth of 3350 GB per second and 1979 TFLOPS FP16 with sparsity enable efficient parameter updates on the H100.

Stable Diffusion
RTX 2070

The RTX 2070 8 GB VRAM and 29.9 TFLOPS FP16 dense rating suffice for standard image generation workloads.

Scientific Computing
H100

FP32 performance of 67 TFLOPS and NVLink interconnect on the H100 accelerate simulation and numerical tasks.

Frequently Asked Questions

What is the FP16 dense performance difference between these GPUs?▾

The H100 reaches 989 TFLOPS FP16 dense and the RTX 2070 reaches 29.9 TFLOPS FP16 dense.

Which GPU has higher memory bandwidth?▾

The H100 memory bandwidth measures 3350 GB per second while the RTX 2070 measures 448 GB per second.

What TDP values apply to the H100 and RTX 2070?▾

The H100 TDP is 700 W and the RTX 2070 TDP is 175 W.

Does the H100 support NVLink?▾

The H100 supports NVLink interconnect while the RTX 2070 uses PCIe 3.0.

What FP32 performance is listed for each device?▾

The H100 lists 67 TFLOPS FP32 and the RTX 2070 lists 7.5 TFLOPS FP32.

Which is cheaper to rent, the H100 or the RTX 2070?▾

Cloud rental prices for both the H100 and RTX 2070 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 2070?▾

The H100 has 80 to 94 GB of HBM3 memory. The RTX 2070 has 8 GB of GDDR6 memory.

Can I find H100 and RTX 2070 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 2070?▾

The H100 uses the Hopper architecture (2022) while the RTX 2070 uses Turing (2018). The H100 delivers 33.1x the dense FP16 throughput (989 vs 29.9 TFLOPS, both without sparsity) and 7.5x the memory bandwidth of the RTX 2070.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the H100 and the RTX 2070. 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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