GPU comparison

H200 vs Quadro RTX 6000

Specifications and current cloud pricing, side by side.

HoppervsTuringUpdated 33 days ago

The H200 wins for the most common use case of LLM training because its 989 TFLOPS dense FP16 and 141 GB memory exceed the 130.5 TFLOPS dense FP16 and 24 GB memory of the Quadro RTX 6000 by substantial margins.

H200 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

SpecH200Quadro RTX 6000
TDP700W260W
VRAM141 GB24 GB
CUDA Cores16,8964,608
FP8 (dense)1,979 TFLOPSNot published
Memory TypeHBM3eGDDR6
ArchitectureHopperTuring
FP16 (dense)989 TFLOPS130.5 TFLOPS
Form FactorsSXM, NVLPCIe
INT8 (dense)1,979 TOPS261 TOPS
InterconnectNVLink, PCIe 5.0, InfiniBandNVLink, PCIe 3.0
Tensor Cores528576
FP32 Performance67 TFLOPS16.3 TFLOPS
FP64 Performance34 TFLOPSNot published
Memory Bandwidth4,800 GB/s672 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

The H200 reaches 989 TFLOPS in dense FP16 and 67 TFLOPS in FP32 while the Quadro RTX 6000 reaches 130.5 TFLOPS in dense FP16 and 16.3 TFLOPS in FP32. This dense FP16 to dense FP16 difference allows the H200 to handle larger training workloads and faster inference steps than the Quadro RTX 6000. Memory bandwidth of 4800 GB/s on the H200 versus 672 GB/s on the Quadro RTX 6000 supports larger batch sizes during both training and inference operations. The H200 also lists 1979 TFLOPS in FP16 with sparsity compared with the dense-only rating on the Quadro RTX 6000.

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.

H200

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
DigitalOceanAtlanta 11$4.47—Deploy
RunPodglobal1$5.29—Deploy
VERDAFIN-HEL1$5.66—Deploy
Vast.aiCzechia, CZ1$5.77—Deploy
LyceumEurope8$6.19$49.52Deploy

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

Quadro RTX 6000

Quadro RTX 6000 is not offered on-demand by any provider we track right now. See the Quadro RTX 6000 rental page for last-seen listed prices and a price alert.

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When to Choose the H200

The H200 suits workloads that require 141 GB HBM3e memory and 989 TFLOPS dense FP16 performance such as large scale model training. Its 4800 GB/s bandwidth and support for InfiniBand further favor multi node scientific computing tasks that exceed the limits of 24 GB memory and 672 GB/s bandwidth.

When to Choose the Quadro RTX 6000

The Quadro RTX 6000 fits environments constrained to 260 W TDP and PCIe form factor where 24 GB GDDR6 memory meets the needs of smaller inference jobs. Its 16.3 TFLOPS FP32 rating remains adequate for legacy scientific computing applications that do not demand the 700 W power envelope of newer cards.

Use Cases

LLM Training
H200

The H200 supplies 989 TFLOPS dense FP16 and 141 GB memory that enable training runs beyond the 130.5 TFLOPS dense FP16 and 24 GB capacity of the Quadro RTX 6000.

LLM Inference
H200

The H200 delivers 1979 TFLOPS FP16 with sparsity together with 4800 GB/s bandwidth that support higher throughput than the dense 130.5 TFLOPS and 672 GB/s on the Quadro RTX 6000.

Fine-tuning
H200

The H200 provides 141 GB HBM3e memory and 1979 TFLOPS FP8 dense that accommodate fine tuning of models larger than those possible with 24 GB GDDR6 on the Quadro RTX 6000.

Stable Diffusion
H200

The H200 offers 989 TFLOPS dense FP16 and 4800 GB/s bandwidth that accelerate image generation workloads compared with the 130.5 TFLOPS dense FP16 and 672 GB/s of the Quadro RTX 6000.

Scientific Computing
Either

The H200 supplies 67 TFLOPS FP32 while the Quadro RTX 6000 uses only 260 W TDP so selection depends on whether power limits or raw 67 TFLOPS FP32 performance matter more.

Frequently Asked Questions

What is the FP32 performance of each GPU?▾

The H200 lists 67 TFLOPS in FP32. The Quadro RTX 6000 lists 16.3 TFLOPS in FP32.

Which GPU has higher memory bandwidth?▾

The H200 reaches 4800 GB/s memory bandwidth. The Quadro RTX 6000 reaches 672 GB/s memory bandwidth.

Does the Quadro RTX 6000 support sparsity in FP16?▾

The Quadro RTX 6000 publishes only a dense FP16 rating of 130.5 TFLOPS. The H200 publishes both 989 TFLOPS dense FP16 and 1979 TFLOPS FP16 with sparsity.

What interconnect options exist on the H200?▾

The H200 supports NVLink, PCIe 5.0, and InfiniBand. The Quadro RTX 6000 supports NVLink and PCIe 3.0.

How do the TDPs compare?▾

The H200 has a 700 W TDP. The Quadro RTX 6000 has a 260 W TDP.

Which is cheaper to rent, the H200 or the Quadro RTX 6000?▾

Cloud rental prices for both the H200 and Quadro RTX 6000 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 H200 have compared to the Quadro RTX 6000?▾

The H200 has 141 GB of HBM3e memory. The Quadro RTX 6000 has 24 GB of GDDR6 memory.

Can I find H200 and Quadro RTX 6000 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 H200 and the Quadro RTX 6000?▾

The H200 uses the Hopper architecture (2024) while the Quadro RTX 6000 uses Turing (2018). The H200 delivers 7.6x the dense FP16 throughput (989 vs 130.5 TFLOPS, both without sparsity) and 7.1x the memory bandwidth of the Quadro RTX 6000.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the H200 and the Quadro RTX 6000. 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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