GPU comparison

Quadro P5000 vs RTX 4090

Specifications and current cloud pricing, side by side.

PascalvsAda LovelaceUpdated 34 days ago

The RTX 4090 wins for the most common use case of LLM inference because its 82.6 TFLOPS FP32 and 24 GB memory exceed the 8.9 TFLOPS FP32 and 16 GB memory of the Quadro P5000 while the higher bandwidth supports larger batches.

Quadro P5000 from $0.78/GPU/hrRTX 4090 from $0.40/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX 4090 at $0.40/hr on Vast.ai

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  • Most providers in stock: RTX 4090 (3)

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Specifications Compared

SpecQuadro P5000RTX 4090
TDP180W450W
VRAM16 GB24 GB
CUDA Cores2,56016,384
FP8 (dense)Not published330.3 TFLOPS
Memory TypeGDDR5XGDDR6X
ArchitecturePascalAda Lovelace
FP16 (dense)Not published165.2 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)Not published660.6 TOPS
InterconnectPCIe 3.0PCIe 4.0
Tensor CoresNot published512
FP32 Performance8.9 TFLOPS82.6 TFLOPS
FP64 PerformanceNot published1.3 TFLOPS
Memory Bandwidth288 GB/s1,008 GB/s
FP8 (with sparsity)Not published660.6 TFLOPS
FP16 (with sparsity)Not published330.4 TFLOPS
INT8 (with sparsity)Not published1,321.2 TOPS

Performance Analysis

The RTX 4090 delivers 82.6 TFLOPS FP32 compared with the 8.9 TFLOPS FP32 of the Quadro P5000. In training and inference the RTX 4090 further supplies 165.2 TFLOPS FP16 dense and 330.4 TFLOPS FP16 with sparsity while the Quadro P5000 publishes no FP16 figure. The 1008 GB per second memory bandwidth of the RTX 4090 versus the 288 GB per second bandwidth of the Quadro P5000 permits larger batch sizes during dense FP16 operations because data movement keeps pace with the 165.2 TFLOPS FP16 dense rate. The 24 GB VRAM on the RTX 4090 versus the 16 GB VRAM on the Quadro P5000 likewise supports bigger model footprints without swapping.

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

RTX 4090

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Vast.aiIreland, IE1$0.40—Deploy
RunPodglobal1$0.89—Deploy
LeaderGPUThe Netherlands1$1.66—Deploy

3 providers in stock, 10 offers (cheapest per provider shown). All RTX 4090 offers, price history and alerts

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When to Choose the Quadro P5000

The Quadro P5000 suits environments that require an 180 W TDP and PCIe 3.0 interconnect with 16 GB GDDR5X memory. Workloads that fit within these limits avoid the 450 W power draw and PCIe 4.0 requirements of newer cards while still providing 8.9 TFLOPS FP32.

When to Choose the RTX 4090

The RTX 4090 suits workloads that need 24 GB GDDR6X memory and 1008 GB per second bandwidth together with 82.6 TFLOPS FP32. Applications that scale with 165.2 TFLOPS FP16 dense or 330.3 TFLOPS FP8 dense benefit from these figures over the older card specifications.

Use Cases

LLM Training
RTX 4090

The RTX 4090 provides 82.6 TFLOPS FP32 and 24 GB memory that exceed the 8.9 TFLOPS FP32 and 16 GB memory of the Quadro P5000.

LLM Inference
RTX 4090

The RTX 4090 supplies 165.2 TFLOPS FP16 dense and 1008 GB per second bandwidth that allow larger batches than the Quadro P5000 specifications.

Fine-tuning
RTX 4090

Stable Diffusion
RTX 4090

The RTX 4090 delivers 660.6 TOPS INT8 dense and 24 GB memory that handle image generation tasks more effectively than the Quadro P5000 limits.

Scientific Computing
Either

The Quadro P5000 at 180 W TDP fits power constrained nodes while the RTX 4090 at 82.6 TFLOPS FP32 fits performance nodes.

Frequently Asked Questions

What are the FP32 ratings for these GPUs?▾

The Quadro P5000 reaches 8.9 TFLOPS FP32 and the RTX 4090 reaches 82.6 TFLOPS FP32.

Which GPU has higher memory bandwidth?▾

The RTX 4090 reaches 1008 GB per second while the Quadro P5000 reaches 288 GB per second.

What power limits apply to each card?▾

The Quadro P5000 lists a 180 W TDP and the RTX 4090 lists a 450 W TDP.

Do both GPUs support the same interconnect?▾

The Quadro P5000 uses PCIe 3.0 and the RTX 4090 uses PCIe 4.0.

Which GPU offers published FP16 figures?▾

The RTX 4090 publishes 165.2 TFLOPS FP16 dense and 330.4 TFLOPS FP16 with sparsity while the Quadro P5000 does not publish an FP16 figure.

Which is cheaper to rent, the Quadro P5000 or the RTX 4090?▾

Cloud rental prices for both the Quadro P5000 and RTX 4090 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 RTX 4090?▾

The Quadro P5000 has 16 GB of GDDR5X memory. The RTX 4090 has 24 GB of GDDR6X memory.

Can I find Quadro P5000 and RTX 4090 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 RTX 4090?▾

The Quadro P5000 uses the Pascal architecture (2016) while the RTX 4090 uses Ada Lovelace (2022). The Quadro P5000 has 16 GB of GDDR5X at 288 GB/s; the RTX 4090 has 24 GB of GDDR6X at 1,008 GB/s, so the RTX 4090 has 3.5x the memory bandwidth of the Quadro P5000.

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 Quadro P5000 and the RTX 4090. 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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