GPU comparison

Quadro P5000 vs Quadro RTX 4000

Specifications and current cloud pricing, side by side.

PascalvsTuringUpdated 34 days ago

The Quadro RTX 4000 wins for the most common use case of mixed precision inference because its 57 TFLOPS FP16 dense rating and 416 GB per second bandwidth exceed the capabilities listed for the Quadro P5000 while drawing only 125 watts.

Quadro P5000 from $0.78/GPU/hrQuadro RTX 4000 from $0.56/GPU/hr

Right now, from live stock

  • Cheapest right now: Quadro RTX 4000 at $0.56/hr on Paperspace

    Deploy
  • Most providers in stock: Quadro P5000 and Quadro RTX 4000 (1 each)

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Specifications Compared

SpecQuadro P5000Quadro RTX 4000
TDP180W125W
VRAM16 GB8 GB
CUDA Cores2,5602,304
Memory TypeGDDR5XGDDR6
ArchitecturePascalTuring
FP16 (dense)Not published57 TFLOPS
Form FactorsPCIePCIe
InterconnectPCIe 3.0PCIe 3.0
Tensor CoresNot published288
FP32 Performance8.9 TFLOPS7.1 TFLOPS
Memory Bandwidth288 GB/s416 GB/s

Performance Analysis

The Quadro RTX 4000 supplies 57 TFLOPS FP16 dense while the Quadro P5000 lists no FP16 figure from the vendor. FP32 performance shows 8.9 TFLOPS on the Quadro P5000 against 7.1 TFLOPS on the Quadro RTX 4000. The higher dense FP16 rating on the Quadro RTX 4000 supports faster matrix operations in training and inference compared with FP32 only paths. Memory bandwidth of 416 GB per second on the Quadro RTX 4000 versus 288 GB per second on the Quadro P5000 allows larger batch sizes before memory becomes the limit. The 125 watt TDP on the Quadro RTX 4000 versus 180 watts on the Quadro P5000 reduces system power requirements while maintaining the listed performance figures.

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 P5000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Paperspaceca12$0.78$1.56Deploy

1 provider in stock, 6 offers (cheapest per provider shown). All Quadro P5000 offers, price history and alerts

Quadro RTX 4000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Paperspaceams11$0.56—Deploy

1 provider in stock, 5 offers (cheapest per provider shown). All Quadro RTX 4000 offers, price history and alerts

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When to Choose the Quadro P5000

The Quadro P5000 suits workloads that require 16 GB GDDR5X VRAM for larger datasets that exceed 8 GB capacity. Its 8.9 TFLOPS FP32 rating provides an advantage in FP32 heavy scientific computing tasks where FP16 dense figures remain unavailable from the vendor.

When to Choose the Quadro RTX 4000

Its 125 watt TDP and 7.1 TFLOPS FP32 rating deliver lower power use in sustained inference and fine tuning sessions.

Use Cases

LLM Training
Quadro RTX 4000

The 57 TFLOPS FP16 dense rating supports faster training iterations than the unavailable FP16 figure on the Quadro P5000.

LLM Inference
Quadro RTX 4000

The 416 GB per second bandwidth and 57 TFLOPS FP16 dense allow higher throughput than the 288 GB per second and FP32 only path of the Quadro P5000.

Fine-tuning
Quadro RTX 4000

Lower 125 watt TDP combined with 57 TFLOPS FP16 dense reduces energy cost during extended fine tuning runs versus the 180 watt Quadro P5000.

Stable Diffusion
Quadro P5000

The 16 GB GDDR5X VRAM accommodates larger image batches that exceed the 8 GB limit of the Quadro RTX 4000.

Scientific Computing
Quadro P5000

The 8.9 TFLOPS FP32 rating exceeds the 7.1 TFLOPS FP32 of the Quadro RTX 4000 for pure FP32 workloads.

Frequently Asked Questions

How does FP32 performance compare on these GPUs?▾

The Quadro P5000 reaches 8.9 TFLOPS FP32 and the Quadro RTX 4000 reaches 7.1 TFLOPS FP32.

What FP16 performance does the Quadro RTX 4000 provide?▾

The Quadro RTX 4000 provides 57 TFLOPS FP16 dense. The Quadro P5000 lists no FP16 figure from the vendor.

Which GPU uses less power?▾

The Quadro RTX 4000 operates at 125 watts TDP while the Quadro P5000 operates at 180 watts TDP.

How does memory bandwidth differ?▾

The Quadro RTX 4000 delivers 416 GB per second and the Quadro P5000 delivers 288 GB per second.

Do both GPUs use the same interconnect?▾

Both the Quadro P5000 and Quadro RTX 4000 use PCIe 3.0 interconnects.

Which is cheaper to rent, the Quadro P5000 or the Quadro RTX 4000?▾

Cloud rental prices for both the Quadro P5000 and Quadro RTX 4000 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 P5000 have compared to the Quadro RTX 4000?▾

The Quadro P5000 has 16 GB of GDDR5X memory. The Quadro RTX 4000 has 8 GB of GDDR6 memory.

Can I find Quadro P5000 and Quadro RTX 4000 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 P5000 and the Quadro RTX 4000?▾

The Quadro P5000 uses the Pascal architecture (2016) while the Quadro RTX 4000 uses Turing (2018). The Quadro P5000 has 16 GB of GDDR5X at 288 GB/s; the Quadro RTX 4000 has 8 GB of GDDR6 at 416 GB/s, so the Quadro RTX 4000 has 1.4x the memory bandwidth of the Quadro P5000.

Rent these GPUs

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Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the Quadro P5000 and the Quadro RTX 4000. 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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