GPU comparison

H100 vs Quadro RTX 5000

Specifications and current cloud pricing, side by side.

HoppervsTuringUpdated 34 days ago

The H100 provides the better choice for the most common use case of LLM training because its 989 TFLOPS dense FP16 and 3350 GB/s bandwidth exceed the corresponding 89.2 TFLOPS and 448 GB/s figures of the Quadro RTX 5000 by substantial margins.

H100 from $2.50/GPU/hrQuadro RTX 5000 from $0.82/GPU/hr

Right now, from live stock

  • Cheapest right now: Quadro RTX 5000 at $0.82/hr on Paperspace

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  • Most providers in stock: H100 (8)

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  • Best $ per TFLOPS FP16 dense right now: H100 ($0.0025 per TFLOPS-hour at 989 TFLOPS)

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Specifications Compared

SpecH100Quadro RTX 5000
TDP700W230W
VRAM80-94 GB16 GB
CUDA Cores16,8963,072
FP8 (dense)1,979 TFLOPSNot published
Memory TypeHBM3GDDR6
ArchitectureHopperTuring
FP16 (dense)989 TFLOPS89.2 TFLOPS
Form FactorsSXM5, PCIe, NVLPCIe
INT8 (dense)1,979 TOPS178.4 TOPS
InterconnectNVLink, PCIe 5.0, InfiniBandNVLink, PCIe 3.0
Tensor Cores528384
FP32 Performance67 TFLOPS11.2 TFLOPS
FP64 Performance34 TFLOPSNot published
Memory Bandwidth3,350 GB/s448 GB/s
FP8 (with sparsity)3,958 TFLOPSNot published
FP16 (with sparsity)1,979 TFLOPSNot published
INT8 (with sparsity)3,958 TOPSNot published

Performance Analysis

The H100 delivers 989 TFLOPS in dense FP16 while the Quadro RTX 5000 delivers 89.2 TFLOPS in dense FP16. This produces an 11 times advantage for the H100 in dense FP16 operations. The H100 also delivers 67 TFLOPS in FP32 compared to 11.2 TFLOPS in FP32 for the Quadro RTX 5000. Higher memory bandwidth of 3350 GB/s on the H100 versus 448 GB/s on the Quadro RTX 5000 supports larger batch sizes during training and inference. The H100 reaches 1979 TFLOPS in FP16 with sparsity while the Quadro RTX 5000 figure for FP16 with sparsity remains unavailable for direct comparison.

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-12$2.50$5.00Deploy
QuantaCloudus-midwest-21$2.59—Deploy
Massed Computeus-central-32$2.73$5.46Deploy
Oridallas-21$2.90—Deploy
ScalewayParis, France (PAR2)1$3.23—Deploy

8 providers in stock, 23 offers (cheapest per provider shown). All H100 offers, price history and alerts

Quadro RTX 5000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Paperspaceny21$0.82—Deploy

1 provider in stock, 2 offers (cheapest per provider shown). All Quadro RTX 5000 offers, price history and alerts

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When to Choose the H100

The H100 suits workloads that require 989 TFLOPS dense FP16 or 3350 GB/s memory bandwidth such as large scale model training. Its 80 to 94 GB HBM3 memory capacity accommodates models that exceed the 16 GB limit of the Quadro RTX 5000. The 700W TDP reflects the power budget needed to sustain these higher throughput levels.

When to Choose the Quadro RTX 5000

The Quadro RTX 5000 suits workloads that fit within 16 GB GDDR6 memory and require only 89.2 TFLOPS dense FP16. Its 230W TDP allows operation in systems with lower power envelopes than the 700W required by the H100. The PCIe form factor of the Quadro RTX 5000 fits legacy server configurations that lack SXM5 or NVL support.

Use Cases

LLM Training
H100

The H100 supplies 989 TFLOPS dense FP16 and 80 to 94 GB HBM3 memory that accommodate large models beyond the 16 GB capacity of the Quadro RTX 5000.

LLM Inference
H100

The H100 supplies 1979 TFLOPS FP16 with sparsity and 3350 GB/s bandwidth that support higher throughput than the 89.2 TFLOPS dense FP16 of the Quadro RTX 5000.

Fine-tuning
H100

The H100 supplies 67 TFLOPS FP32 and 3350 GB/s bandwidth that enable efficient updates on models larger than those supported by the 16 GB memory of the Quadro RTX 5000.

Stable Diffusion
Either

The Quadro RTX 5000 supplies sufficient 89.2 TFLOPS dense FP16 for smaller diffusion workloads while the H100 supplies higher 989 TFLOPS dense FP16 for larger batch processing.

Scientific Computing
H100

The H100 supplies 67 TFLOPS FP32 and 3350 GB/s bandwidth that accelerate simulations beyond the 11.2 TFLOPS FP32 capability of the Quadro RTX 5000.

Frequently Asked Questions

What is the memory difference between H100 and Quadro RTX 5000?▾

The H100 provides between 80 and 94 GB of HBM3 memory while the Quadro RTX 5000 provides 16 GB of GDDR6 memory.

How does FP16 performance compare between these GPUs?▾

The H100 reaches 989 TFLOPS in dense FP16 and 1979 TFLOPS in FP16 with sparsity while the Quadro RTX 5000 reaches 89.2 TFLOPS in dense FP16.

What are the power requirements for each GPU?▾

The H100 lists a TDP of 700W while the Quadro RTX 5000 lists a TDP of 230W.

Can the Quadro RTX 5000 handle FP8 workloads?▾

The Quadro RTX 5000 does not publish an FP8 figure whereas the H100 reaches 1979 TFLOPS in dense FP8.

Which is cheaper to rent, the H100 or the Quadro RTX 5000?▾

Cloud rental prices for both the H100 and Quadro RTX 5000 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 Quadro RTX 5000?▾

The H100 has 80 to 94 GB of HBM3 memory. The Quadro RTX 5000 has 16 GB of GDDR6 memory.

Can I find H100 and Quadro RTX 5000 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 Quadro RTX 5000?▾

The H100 uses the Hopper architecture (2022) while the Quadro RTX 5000 uses Turing (2018). The H100 delivers 11.1x the dense FP16 throughput (989 vs 89.2 TFLOPS, both without sparsity) and 7.5x the memory bandwidth of the Quadro RTX 5000.

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 Quadro RTX 5000. 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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