GPU comparison

P100 vs Quadro P6000

Specifications and current cloud pricing, side by side.

PascalvsPascalUpdated 34 days ago

The P100 wins for the most common use case of LLM training because its 18.7 TFLOPS dense FP16 rating and 732 GB/s bandwidth deliver higher throughput than the Quadro P6000 12.6 TFLOPS FP32 rating under equivalent 250W TDP constraints.

P100 from $0.09/GPU/hrQuadro P6000 from $1.10/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 P6000 (1 each)

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Specifications Compared

SpecP100Quadro P6000
TDP250W250W
VRAM16 GB24 GB
CUDA Cores3,5843,840
Memory TypeHBM2GDDR5X
ArchitecturePascalPascal
FP16 (dense)18.7 TFLOPSNot published
Form FactorsSXM2, PCIePCIe
InterconnectNVLink, PCIe 3.0PCIe 3.0
FP32 Performance9.3 TFLOPS12.6 TFLOPS
FP64 Performance4.7 TFLOPSNot published
Memory Bandwidth732 GB/s432 GB/s

Performance Analysis

The P100 18.7 TFLOPS dense FP16 figure doubles its own 9.3 TFLOPS FP32 rating and supplies a clear advantage for workloads that accept reduced precision. The Quadro P6000 publishes no FP16 value, so its 12.6 TFLOPS FP32 rating stands alone for direct comparison. Higher memory bandwidth of 732 GB/s on the P100 versus 432 GB/s on the Quadro P6000 permits larger batch sizes before memory stalls occur during training or inference passes. The 16 GB HBM2 capacity on the P100 versus the 24 GB GDDR5X capacity on the Quadro P6000 creates a trade-off between sustained throughput and maximum model size that fits in memory.

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 P6000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Paperspaceams11$1.10—Deploy

1 provider in stock, 6 offers (cheapest per provider shown). All Quadro P6000 offers, price history and alerts

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When to Choose the P100

The P100 suits LLM training or fine-tuning sessions that exploit its 18.7 TFLOPS dense FP16 rating and 732 GB/s bandwidth. NVLink interconnect further favors the P100 when multi-GPU scaling is required within a node.

When to Choose the Quadro P6000

The Quadro P6000 suits workloads that require the full 24 GB GDDR5X capacity for larger batches or higher-resolution inputs that exceed 16 GB limits. Its 12.6 TFLOPS FP32 rating remains competitive when dense FP16 support is unnecessary.

Use Cases

LLM Training
P100

The P100 18.7 TFLOPS dense FP16 rating and 732 GB/s bandwidth support faster iteration than the Quadro P6000 FP32-only profile.

LLM Inference
P100

The P100 supplies 18.7 TFLOPS dense FP16 for reduced-precision inference passes while the Quadro P6000 offers no published FP16 value.

Fine-tuning
P100

The P100 9.3 TFLOPS FP32 and NVLink interconnect enable efficient gradient exchange across multiple cards.

Stable Diffusion
Quadro P6000

The Quadro P6000 24 GB GDDR5X capacity accommodates larger diffusion models that exceed the P100 16 GB limit.

Scientific Computing
Either

Both GPUs share 250W TDP and Pascal architecture, yet the P100 bandwidth edge or Quadro P6000 capacity may be selected according to dataset size.

Frequently Asked Questions

What FP32 performance is listed for each card?▾

The P100 lists 9.3 TFLOPS FP32 and the Quadro P6000 lists 12.6 TFLOPS FP32.

Does the P100 support NVLink?▾

Yes, the P100 includes NVLink interconnect in addition to PCIe 3.0 while the Quadro P6000 supports only PCIe 3.0.

What memory bandwidth figures are published?▾

The P100 reaches 732 GB/s and the Quadro P6000 reaches 432 GB/s.

Are the TDP values identical?▾

Both the P100 and the Quadro P6000 list a 250W TDP rating.

Which GPU publishes an FP16 number?▾

Only the P100 publishes an FP16 rating of 18.7 TFLOPS dense while the Quadro P6000 publishes none.

Which is cheaper to rent, the P100 or the Quadro P6000?▾

Cloud rental prices for both the P100 and Quadro P6000 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 P6000?▾

The P100 has 16 GB of HBM2 memory. The Quadro P6000 has 24 GB of GDDR5X memory.

Can I find P100 and Quadro P6000 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 P6000?▾

The P100 uses the Pascal architecture (2016) while the Quadro P6000 uses Pascal (2016). The P100 has 16 GB of HBM2 at 732 GB/s; the Quadro P6000 has 24 GB of GDDR5X at 432 GB/s, so the P100 has 1.7x the memory bandwidth of the Quadro P6000.

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Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the P100 and the Quadro P6000. 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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