GPU comparison

P100 vs RTX PRO 6000

Specifications and current cloud pricing, side by side.

PascalvsBlackwellUpdated 33 days ago

The RTX PRO 6000 serves as the stronger choice for the most common AI training and inference workloads because its 503.8 TFLOPS dense FP16 and 96 GB memory exceed the corresponding 18.7 TFLOPS and 16 GB values on the P100 by substantial margins.

P100 from $0.09/GPU/hrRTX PRO 6000 from $0.69/GPU/hr

Right now, from live stock

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

    Deploy
  • Most providers in stock: RTX PRO 6000 (4)

    See all offers
  • Best $ per TFLOPS FP16 dense right now: RTX PRO 6000 ($0.0014 per TFLOPS-hour at 503.8 TFLOPS)

    Deploy

Specifications Compared

SpecP100RTX PRO 6000
TDP250W600W
VRAM16 GB96 GB
CUDA Cores3,58424,064
FP4 (dense)Not published2,015.2 TFLOPS
FP8 (dense)Not published1,007.6 TFLOPS
Memory TypeHBM2GDDR7
ArchitecturePascalBlackwell
FP16 (dense)18.7 TFLOPS503.8 TFLOPS
Form FactorsSXM2, PCIePCIe
INT8 (dense)Not published1,007.6 TOPS
InterconnectNVLink, PCIe 3.0PCIe 5.0
Tensor CoresNot published752
FP32 Performance9.3 TFLOPS126 TFLOPS
FP64 Performance4.7 TFLOPSNot published
Memory Bandwidth732 GB/s1,792 GB/s
FP4 (with sparsity)Not published4,030.4 TFLOPS
FP8 (with sparsity)Not published2,015.2 TFLOPS
FP16 (with sparsity)Not published1,007.6 TFLOPS
INT8 (with sparsity)Not published2,015.2 TOPS

Performance Analysis

The dense FP16 performance of 503.8 TFLOPS on the RTX PRO 6000 exceeds the 18.7 TFLOPS dense FP16 on the P100 by a factor derived directly from those figures. This delta allows the RTX PRO 6000 to complete matrix operations in training and inference at rates scaled to the higher number while the P100 remains limited to its lower dense FP16 value. The FP32 figure of 126 TFLOPS on the RTX PRO 6000 similarly surpasses the 9.3 TFLOPS on the P100 for precision sensitive tasks. Memory bandwidth of 1792 GB/s on the RTX PRO 6000 supports larger batch sizes than the 732 GB/s on the P100 because data movement occurs at the greater rate. Sparse comparisons remain separate and use the 1007.6 TFLOPS with sparsity dense FP16 value on the RTX PRO 6000 against the dense only figures available for the P100.

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

RTX PRO 6000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
RunPodglobal1$0.69—Deploy
Vast.aiCzechia, CZ1$2.02—Deploy
VERDAFIN-HEL2$2.40$4.79Deploy
LeaderGPUThe Netherlands1$2.88—Deploy

4 providers in stock, 10 offers (cheapest per provider shown). All RTX PRO 6000 offers, price history and alerts

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When to Choose the P100

The P100 suits environments constrained to 250W TDP where the 16 GB HBM2 configuration meets modest memory needs. Scientific workloads that fit within 9.3 TFLOPS FP32 avoid the higher 600W TDP of newer options.

When to Choose the RTX PRO 6000

The RTX PRO 6000 suits workloads that require 96 GB GDDR7 memory and 1792 GB/s bandwidth for large scale models. PCIe 5.0 interconnect supports higher throughput in current server deployments.

Use Cases

LLM Training
RTX PRO 6000

The 503.8 TFLOPS dense FP16 exceeds the 18.7 TFLOPS dense FP16 available on the P100.

LLM Inference
RTX PRO 6000

The 96 GB memory and 1792 GB/s bandwidth exceed the 16 GB and 732 GB/s on the P100 for larger models.

Fine-tuning
RTX PRO 6000

The 126 TFLOPS FP32 supports adaptation tasks beyond the 9.3 TFLOPS on the P100.

Stable Diffusion
RTX PRO 6000

The 1007.6 TFLOPS FP8 dense exceeds any published figure for the P100.

Scientific Computing
P100

The 250W TDP fits power limited scientific nodes that do not require the 600W TDP of the RTX PRO 6000.

Frequently Asked Questions

What FP16 performance values apply to each GPU?▾

The P100 lists 18.7 TFLOPS dense FP16 and the RTX PRO 6000 lists 503.8 TFLOPS dense FP16.

Which GPU offers higher memory bandwidth?▾

The RTX PRO 6000 provides 1792 GB/s compared with 732 GB/s on the P100.

What are the TDP ratings for the P100 and RTX PRO 6000?▾

The P100 operates at 250W TDP while the RTX PRO 6000 operates at 600W TDP.

Does the P100 support NVLink?▾

The P100 includes NVLink interconnect whereas the RTX PRO 6000 uses PCIe 5.0.

What FP32 values appear in the specifications?▾

The P100 reaches 9.3 TFLOPS FP32 and the RTX PRO 6000 reaches 126 TFLOPS FP32.

Which is cheaper to rent, the P100 or the RTX PRO 6000?▾

Cloud rental prices for both the P100 and RTX PRO 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 P100 have compared to the RTX PRO 6000?▾

The P100 has 16 GB of HBM2 memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.

Can I find P100 and RTX PRO 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 P100 and the RTX PRO 6000?▾

The P100 uses the Pascal architecture (2016) while the RTX PRO 6000 uses Blackwell (2025). The RTX PRO 6000 delivers 26.9x the dense FP16 throughput (503.8 vs 18.7 TFLOPS, both without sparsity) and 2.4x the memory bandwidth of the P100.

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 RTX PRO 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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