GPU comparison

P100 vs Quadro RTX 5000

Specifications and current cloud pricing, side by side.

PascalvsTuringUpdated 32 days ago

The Quadro RTX 5000 wins for the most common use case of LLM inference because its 89.2 TFLOPS dense FP16 exceeds the P100 18.7 TFLOPS dense FP16 by a wide margin while its lower 230 W TDP improves efficiency.

P100 from $0.09/GPU/hrQuadro RTX 5000 from $0.82/GPU/hr

Right now, from live stock

  • Cheapest right now: P100 at $0.09/hr on Vast.ai

    Deploy
  • Most providers in stock: P100 and Quadro RTX 5000 (1 each)

    See all offers
  • Best $ per TFLOPS FP16 dense right now: P100 ($0.0050 per TFLOPS-hour at 18.7 TFLOPS)

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Specifications Compared

SpecP100Quadro RTX 5000
TDP250W230W
VRAM16 GB16 GB
CUDA Cores3,5843,072
Memory TypeHBM2GDDR6
ArchitecturePascalTuring
FP16 (dense)18.7 TFLOPS89.2 TFLOPS
Form FactorsSXM2, PCIePCIe
INT8 (dense)Not published178.4 TOPS
InterconnectNVLink, PCIe 3.0NVLink, PCIe 3.0
Tensor CoresNot published384
FP32 Performance9.3 TFLOPS11.2 TFLOPS
FP64 Performance4.7 TFLOPSNot published
Memory Bandwidth732 GB/s448 GB/s

Performance Analysis

The Quadro RTX 5000 delivers 89.2 TFLOPS dense FP16 compared with 18.7 TFLOPS dense FP16 on the P100 which produces nearly five times the dense FP16 throughput for training and inference workloads. The P100 supplies 732 GB/s memory bandwidth against 448 GB/s on the Quadro RTX 5000 so batch sizes in bandwidth limited kernels can increase on the P100. FP32 throughput favors the Quadro RTX 5000 at 11.2 TFLOPS versus 9.3 TFLOPS on the P100 while both GPUs expose NVLink interconnect options.

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.

P100

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Vast.aiTexas, US1$0.09—Deploy

1 provider in stock, 2 offers (cheapest per provider shown). All P100 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 P100

The P100 suits scientific computing workloads that require the 732 GB/s memory bandwidth of its HBM2 configuration. Its 250 W TDP remains acceptable when dense FP16 throughput at 18.7 TFLOPS meets application targets and when SXM2 form factor deployment is available.

When to Choose the Quadro RTX 5000

The Quadro RTX 5000 suits LLM inference and fine tuning workloads that exploit its 89.2 TFLOPS dense FP16 rating. Its 230 W TDP and 11.2 TFLOPS FP32 rating further support Stable Diffusion tasks where the 178.4 TOPS dense INT8 capability accelerates quantized inference.

Use Cases

LLM Training
Quadro RTX 5000

The Quadro RTX 5000 supplies 89.2 TFLOPS dense FP16 which exceeds the P100 18.7 TFLOPS dense FP16 for accelerated training throughput.

LLM Inference
Quadro RTX 5000

The Quadro RTX 5000 supplies 89.2 TFLOPS dense FP16 and 178.4 TOPS dense INT8 which accelerate inference relative to the P100 figures.

Fine-tuning
Quadro RTX 5000

The Quadro RTX 5000 supplies 89.2 TFLOPS dense FP16 which exceeds the P100 18.7 TFLOPS dense FP16 for fine tuning efficiency.

Stable Diffusion
Quadro RTX 5000

The Quadro RTX 5000 supplies 89.2 TFLOPS dense FP16 and 11.2 TFLOPS FP32 which support diffusion workloads better than the P100 ratings.

Scientific Computing
P100

The P100 supplies 732 GB/s memory bandwidth which exceeds the Quadro RTX 5000 448 GB/s bandwidth for bandwidth bound scientific kernels.

Frequently Asked Questions

What is the memory bandwidth difference between the P100 and Quadro RTX 5000?▾

The P100 reaches 732 GB/s while the Quadro RTX 5000 reaches 448 GB/s. This difference affects batch sizes in memory intensive workloads.

How does dense FP16 performance compare on these GPUs?▾

The P100 lists 18.7 TFLOPS dense FP16 and the Quadro RTX 5000 lists 89.2 TFLOPS dense FP16. The Quadro RTX 5000 therefore provides higher dense FP16 throughput.

What FP32 ratings do the P100 and Quadro RTX 5000 carry?▾

The P100 lists 9.3 TFLOPS FP32 and the Quadro RTX 5000 lists 11.2 TFLOPS FP32. The Quadro RTX 5000 holds a modest advantage in FP32.

Which GPU has the lower TDP rating?▾

The Quadro RTX 5000 carries a 230 W TDP while the P100 carries a 250 W TDP. The lower figure improves power efficiency on the Quadro RTX 5000.

Do both GPUs support NVLink?▾

Both the P100 and the Quadro RTX 5000 list NVLink interconnect support along with PCIe 3.0. Form factor options differ with the P100 offering SXM2.

Which is cheaper to rent, the P100 or the Quadro RTX 5000?▾

Cloud rental prices for both the P100 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 P100 have compared to the Quadro RTX 5000?▾

The P100 has 16 GB of HBM2 memory. The Quadro RTX 5000 has 16 GB of GDDR6 memory.

Can I find P100 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 P100 and the Quadro RTX 5000?▾

The P100 uses the Pascal architecture (2016) while the Quadro RTX 5000 uses Turing (2018). The Quadro RTX 5000 delivers 4.8x the dense FP16 throughput (89.2 vs 18.7 TFLOPS, both without sparsity) while the P100 has 1.6x 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 P100 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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