GPU comparison

Quadro P4000 vs RTX PRO 6000

Specifications and current cloud pricing, side by side.

PascalvsBlackwellUpdated 27 days ago

The RTX PRO 6000 wins for the most common use case of LLM inference because its 96 GB GDDR7 memory and 503.8 TFLOPS dense FP16 exceed the 8 GB GDDR5 and 5.3 TFLOPS FP32 of the Quadro P4000 by wide margins.

Quadro P4000 from $0.51/GPU/hrRTX PRO 6000 from $0.69/GPU/hr

Right now, from live stock

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

    Deploy
  • Most providers in stock: RTX PRO 6000 (3)

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Specifications Compared

SpecQuadro P4000RTX PRO 6000
TDP105W600W
VRAM8 GB96 GB
CUDA Cores1,79224,064
FP4 (dense)Not published2,015.2 TFLOPS
FP8 (dense)Not published1,007.6 TFLOPS
Memory TypeGDDR5GDDR7
ArchitecturePascalBlackwell
FP16 (dense)Not published503.8 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)Not published1,007.6 TOPS
InterconnectPCIe 3.0PCIe 5.0
Tensor CoresNot published752
FP32 Performance5.3 TFLOPS126 TFLOPS
Memory Bandwidth243 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 RTX PRO 6000 achieves 503.8 TFLOPS in dense FP16 against its 126 TFLOPS in FP32. This difference supports faster execution of half precision operations during training and inference workloads. Memory bandwidth of 1792 GB/s versus 243 GB/s permits substantially larger batch sizes on the RTX PRO 6000. The Quadro P4000 provides no published FP16 value so comparisons use only the RTX PRO 6000 dense FP16 figure of 503.8 TFLOPS. With sparsity the RTX PRO 6000 reaches 1007.6 TFLOPS in FP16. The same pattern holds for dense FP8 at 1007.6 TFLOPS and sparse FP8 at 2015.2 TFLOPS on the RTX PRO 6000.

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.

Quadro P4000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Paperspaceca12$0.51$1.02Deploy

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

RTX PRO 6000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
RunPodglobal1$0.69—Deploy
Vast.aiCzechia, CZ1$1.45—Deploy
VERDAFIN-HEL2$2.23$4.47Deploy

3 providers in stock, 15 offers (cheapest per provider shown). All RTX PRO 6000 offers, price history and alerts

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When to Choose the Quadro P4000

The Quadro P4000 suits environments constrained to 105 W TDP and PCIe 3.0 interconnects. Its 8 GB GDDR5 configuration fits legacy systems that run basic visualization or light compute tasks without need for the 126 TFLOPS FP32 or 1792 GB/s bandwidth of newer hardware. Users retain compatibility with older PCIe slots while avoiding the 600 W power requirement.

When to Choose the RTX PRO 6000

The RTX PRO 6000 suits workloads that require 96 GB GDDR7 and 503.8 TFLOPS dense FP16. Its 1792 GB/s bandwidth and PCIe 5.0 interconnect support large model training or inference where the 5.3 TFLOPS FP32 of the older GPU proves insufficient. The 600 W TDP enables sustained operation at 126 TFLOPS FP32 and 1007.6 TFLOPS dense FP8.

Use Cases

LLM Training
RTX PRO 6000

The RTX PRO 6000 supplies 96 GB GDDR7 and 503.8 TFLOPS dense FP16 for large model training.

LLM Inference
RTX PRO 6000

The RTX PRO 6000 supplies 96 GB GDDR7 and 503.8 TFLOPS dense FP16 for efficient inference at scale.

Fine-tuning
RTX PRO 6000

The RTX PRO 6000 supplies 96 GB GDDR7 and 1007.6 TFLOPS dense FP8 for parameter updates.

Stable Diffusion
RTX PRO 6000

The RTX PRO 6000 supplies 96 GB GDDR7 and 2015.2 TFLOPS dense FP4 for image generation workloads.

Scientific Computing
RTX PRO 6000

The RTX PRO 6000 supplies 126 TFLOPS FP32 and 1792 GB/s bandwidth for compute intensive simulations.

Frequently Asked Questions

What is the FP32 performance of each GPU?▾

The Quadro P4000 delivers 5.3 TFLOPS in FP32. The RTX PRO 6000 delivers 126 TFLOPS in FP32.

What are the dense FP16 figures for the RTX PRO 6000?▾

The RTX PRO 6000 delivers 503.8 TFLOPS in dense FP16 and 1007.6 TFLOPS with sparsity.

What TDP values apply to these GPUs?▾

The Quadro P4000 has a TDP of 105 W. The RTX PRO 6000 has a TDP of 600 W.

Which interconnect does each GPU use?▾

The Quadro P4000 uses PCIe 3.0. The RTX PRO 6000 uses PCIe 5.0.

Which is cheaper to rent, the Quadro P4000 or the RTX PRO 6000?▾

Cloud rental prices for both the Quadro P4000 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 Quadro P4000 have compared to the RTX PRO 6000?▾

The Quadro P4000 has 8 GB of GDDR5 memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.

Can I find Quadro P4000 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 Quadro P4000 and the RTX PRO 6000?▾

The Quadro P4000 uses the Pascal architecture (2017) while the RTX PRO 6000 uses Blackwell (2025). The Quadro P4000 has 8 GB of GDDR5 at 243 GB/s; the RTX PRO 6000 has 96 GB of GDDR7 at 1,792 GB/s, so the RTX PRO 6000 has 7.4x the memory bandwidth of the Quadro P4000.

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Related comparisons

How this page is made

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