GPU comparison

Quadro P4000 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 24 GB memory capacity and 165.2 TFLOPS dense FP16 performance exceed the 8 GB and 5.3 TFLOPS FP32 limits of the Quadro P4000 by substantial margins.

Quadro P4000 from $0.51/GPU/hrRTX 4090 from $0.53/GPU/hr

Right now, from live stock

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

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  • Most providers in stock: RTX 4090 (2)

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Specifications Compared

SpecQuadro P4000RTX 4090
TDP105W450W
VRAM8 GB24 GB
CUDA Cores1,79216,384
FP8 (dense)Not published330.3 TFLOPS
Memory TypeGDDR5GDDR6X
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 Performance5.3 TFLOPS82.6 TFLOPS
FP64 PerformanceNot published1.3 TFLOPS
Memory Bandwidth243 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 of FP32 performance while the Quadro P4000 delivers 5.3 TFLOPS of FP32 performance. This produces a ratio of approximately 15.6 times higher FP32 throughput on the RTX 4090. The RTX 4090 also provides dense FP16 performance of 165.2 TFLOPS compared with no published dense FP16 figure for the Quadro P4000. Memory bandwidth of 1008 GB per second on the RTX 4090 versus 243 GB per second on the Quadro P4000 supports larger batch sizes during training or inference by allowing faster data movement between memory and compute units. Dense FP16 throughput of 165.2 TFLOPS on the RTX 4090 enables faster matrix operations than the 5.3 TFLOPS FP32 limit on the Quadro P4000 when sparsity is not applied.

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
Paperspaceams11$0.51—Deploy

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

RTX 4090

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Vast.aiUnited Kingdom, GB8$0.53$4.27Deploy
LeaderGPUThe Netherlands1$1.66—Deploy

2 providers in stock, 9 offers (cheapest per provider shown). All RTX 4090 offers, price history and alerts

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When to Choose the Quadro P4000

The Quadro P4000 suits environments constrained by a 105W TDP limit where the 450W TDP of the RTX 4090 exceeds power budgets. Its PCIe 3.0 interconnect matches older server platforms that lack PCIe 4.0 support. Workloads that require only 8 GB of memory and remain below 5.3 TFLOPS of FP32 throughput complete without the need for additional hardware.

When to Choose the RTX 4090

Its 1008 GB per second bandwidth supports larger batch sizes than the 243 GB per second available on the Quadro P4000. Dense FP16 performance of 165.2 TFLOPS accelerates both training and inference relative to the Quadro P4000 FP32 ceiling of 5.3 TFLOPS.

Use Cases

LLM Training
RTX 4090

The RTX 4090 supplies 24 GB memory and 82.6 TFLOPS FP32 performance that exceed the 8 GB and 5.3 TFLOPS FP32 of the Quadro P4000.

LLM Inference
RTX 4090

Dense FP16 performance of 165.2 TFLOPS on the RTX 4090 enables higher throughput than the 5.3 TFLOPS FP32 ceiling of the Quadro P4000.

Fine-tuning
RTX 4090

The RTX 4090 memory bandwidth of 1008 GB per second supports larger batch sizes than the 243 GB per second of the Quadro P4000.

Stable Diffusion
RTX 4090

24 GB of memory on the RTX 4090 accommodates larger models than the 8 GB available on the Quadro P4000.

Scientific Computing
RTX 4090

82.6 TFLOPS of FP32 performance on the RTX 4090 provides higher throughput than the 5.3 TFLOPS of the Quadro P4000.

Frequently Asked Questions

What is the memory difference between Quadro P4000 and RTX 4090?▾

The Quadro P4000 contains 8 GB of GDDR5 memory while the RTX 4090 contains 24 GB of GDDR6X memory. This difference affects the maximum model size that fits without swapping.

How does FP32 performance compare between these GPUs?▾

The Quadro P4000 reaches 5.3 TFLOPS of FP32 while the RTX 4090 reaches 82.6 TFLOPS of FP32. The ratio equals approximately 15.6 times higher throughput on the RTX 4090.

Which GPU offers higher memory bandwidth?▾

The RTX 4090 provides 1008 GB per second of memory bandwidth compared with 243 GB per second on the Quadro P4000. Higher bandwidth supports faster data transfers during compute operations.

What are the TDP values for each card?▾

The Quadro P4000 lists a TDP of 105W while the RTX 4090 lists a TDP of 450W. Power delivery requirements differ accordingly between the two cards.

Does the RTX 4090 support sparse FP16 operations?▾

The RTX 4090 lists dense FP16 performance of 165.2 TFLOPS and sparse FP16 performance of 330.4 TFLOPS. No FP16 figures are published for the Quadro P4000.

Which is cheaper to rent, the Quadro P4000 or the RTX 4090?▾

Cloud rental prices for both the Quadro P4000 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 P4000 have compared to the RTX 4090?▾

The Quadro P4000 has 8 GB of GDDR5 memory. The RTX 4090 has 24 GB of GDDR6X memory.

Can I find Quadro P4000 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 P4000 and the RTX 4090?▾

The Quadro P4000 uses the Pascal architecture (2017) while the RTX 4090 uses Ada Lovelace (2022). The Quadro P4000 has 8 GB of GDDR5 at 243 GB/s; the RTX 4090 has 24 GB of GDDR6X at 1,008 GB/s, so the RTX 4090 has 4.1x 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 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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