GPU comparison

H200 vs Quadro P4000

Specifications and current cloud pricing, side by side.

HoppervsPascalUpdated 33 days ago

The H200 wins for the most common use case of LLM training because its 141 GB VRAM and 989 TFLOPS FP16 dense rating handle modern model sizes that exceed the 8 GB VRAM and 5.3 TFLOPS FP32 rating of the Quadro P4000 by wide margins.

H200 from $5.29/GPU/hrQuadro P4000 from $0.51/GPU/hr

Right now, from live stock

  • Cheapest right now: Quadro P4000 at $0.51/hr on Paperspace

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  • Most providers in stock: H200 (5)

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Specifications Compared

SpecH200Quadro P4000
TDP700W105W
VRAM141 GB8 GB
CUDA Cores16,8961,792
FP8 (dense)1,979 TFLOPSNot published
Memory TypeHBM3eGDDR5
ArchitectureHopperPascal
FP16 (dense)989 TFLOPSNot published
Form FactorsSXM, NVLPCIe
INT8 (dense)1,979 TOPSNot published
InterconnectNVLink, PCIe 5.0, InfiniBandPCIe 3.0
Tensor Cores528Not published
FP32 Performance67 TFLOPS5.3 TFLOPS
FP64 Performance34 TFLOPSNot published
Memory Bandwidth4,800 GB/s243 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 delivers FP16 dense performance of 989 TFLOPS while the Quadro P4000 lists no FP16 figure from the vendor so no direct ratio applies. The FP32 value of 67 TFLOPS on the H200 exceeds the 5.3 TFLOPS on the Quadro P4000 by a factor derived solely from those two numbers. Memory bandwidth of 4800 GB/s on the H200 versus 243 GB/s on the Quadro P4000 permits substantially larger batch sizes during operations that move large tensors because the bandwidth ratio reaches nearly twenty times in favor of the H200. The H200 FP16 with sparsity reaches 1979 TFLOPS and FP8 dense reaches 1979 TFLOPS allowing direct like for like comparison only within the H200 specifications themselves.

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
RunPodglobal1$5.29—Deploy
VERDAFIN-HEL2$5.66$11.32Deploy
Vast.aiCzechia, CZ1$5.77—Deploy
LyceumEurope2$6.19$12.38Deploy
LeaderGPUThe Netherlands1$6.22—Deploy

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

Quadro P4000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Paperspaceams11$0.51—Deploy

1 provider in stock, 6 offers (cheapest per provider shown). All Quadro P4000 offers, price history and alerts

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When to Choose the H200

The H200 suits workloads that require 141 GB VRAM and 4800 GB/s bandwidth such as large model training or inference where the 989 TFLOPS FP16 dense rating accelerates tensor operations beyond the capabilities of older cards. Its support for NVLink and InfiniBand interconnects further enables multi GPU scaling that the Quadro P4000 PCIe 3.0 interface cannot match.

When to Choose the Quadro P4000

The Quadro P4000 fits environments constrained to 105W TDP and PCIe form factors where basic FP32 workloads at 5.3 TFLOPS suffice without need for high bandwidth or large memory capacity. Legacy systems already equipped with Pascal architecture cards avoid migration costs when only modest compute demands exist.

Use Cases

LLM Training
H200

The H200 supplies 141 GB VRAM and 989 TFLOPS FP16 dense that exceed the Quadro P4000 8 GB VRAM and 5.3 TFLOPS FP32.

LLM Inference
H200

The H200 supplies 4800 GB/s bandwidth and 1979 TFLOPS FP8 dense that support larger batch inference than the Quadro P4000 243 GB/s bandwidth.

Fine-tuning
H200

The H200 141 GB HBM3e VRAM accommodates fine tuning of models that surpass the 8 GB limit of the Quadro P4000.

Stable Diffusion
H200

The H200 4800 GB/s memory bandwidth and 141 GB VRAM enable higher resolution generation than the Quadro P4000 243 GB/s and 8 GB VRAM.

Scientific Computing
Quadro P4000

The Quadro P4000 105W TDP and 5.3 TFLOPS FP32 meet basic simulation needs in power limited legacy setups.

Frequently Asked Questions

What is the memory bandwidth of the H200 versus the Quadro P4000?▾

The H200 reaches 4800 GB/s memory bandwidth while the Quadro P4000 reaches 243 GB/s memory bandwidth.

Does the Quadro P4000 publish an FP16 rating?▾

The Quadro P4000 lists no FP16 figure from the vendor whereas the H200 lists 989 TFLOPS FP16 dense.

What TDP values separate the H200 from the Quadro P4000?▾

The H200 TDP is 700W while the Quadro P4000 TDP is 105W.

Which GPU offers higher FP32 performance?▾

The H200 offers 67 TFLOPS FP32 while the Quadro P4000 offers 5.3 TFLOPS FP32.

What interconnects does the H200 support that the Quadro P4000 does not?▾

The H200 supports NVLink and InfiniBand while the Quadro P4000 supports only PCIe 3.0.

Which is cheaper to rent, the H200 or the Quadro P4000?▾

Cloud rental prices for both the H200 and Quadro P4000 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 P4000?▾

The H200 has 141 GB of HBM3e memory. The Quadro P4000 has 8 GB of GDDR5 memory.

Can I find H200 and Quadro P4000 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 P4000?▾

The H200 uses the Hopper architecture (2024) while the Quadro P4000 uses Pascal (2017). The H200 has 141 GB of HBM3e at 4,800 GB/s; the Quadro P4000 has 8 GB of GDDR5 at 243 GB/s, so the H200 has 19.8x the memory bandwidth of the Quadro P4000.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the H200 and the Quadro P4000. 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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