GPU comparison

Quadro RTX 4000 vs RTX 5000 Ada

Specifications and current cloud pricing, side by side.

TuringvsAda LovelaceUpdated 33 days ago

The RTX 5000 Ada wins for the most common use case of LLM inference. Its 32 GB VRAM and 65.3 TFLOPS FP32 performance exceed the 8 GB VRAM and 7.1 TFLOPS FP32 of the Quadro RTX 4000 and thereby accommodate larger models without memory constraints.

Quadro RTX 4000 listed from $0.56/GPU/hrRTX 5000 Ada listed from $0.55/GPU/hr

Right now, from live stock

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

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  • Most providers in stock: Quadro RTX 4000 (1)

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Specifications Compared

SpecQuadro RTX 4000RTX 5000 Ada
TDP125W250W
VRAM8 GB32 GB
CUDA Cores2,30412,800
Memory TypeGDDR6GDDR6
ArchitectureTuringAda Lovelace
FP16 (dense)57 TFLOPSNot published
Form FactorsPCIePCIe
InterconnectPCIe 3.0PCIe 4.0
Tensor Cores288400
FP32 Performance7.1 TFLOPS65.3 TFLOPS
Memory Bandwidth416 GB/s576 GB/s
FP8 (with sparsity)Not published1,044.4 TFLOPS

Performance Analysis

FP32 throughput differs markedly with the RTX 5000 Ada delivering 65.3 TFLOPS compared to 7.1 TFLOPS on the Quadro RTX 4000. The Quadro RTX 4000 supplies dense FP16 performance at 57 TFLOPS while the RTX 5000 Ada does not publish a dense FP16 figure. Memory bandwidth of 576 GB/s on the RTX 5000 Ada versus 416 GB/s on the Quadro RTX 4000 supports larger batch sizes in memory intensive operations. The FP8 figure with sparsity reaches 1,044.4 TFLOPS on the RTX 5000 Ada and no corresponding figure appears for the Quadro RTX 4000.

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 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

RTX 5000 Ada

RTX 5000 Ada is not offered on-demand by any provider we track right now. See the RTX 5000 Ada rental page for last-seen listed prices and a price alert.

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When to Choose the Quadro RTX 4000

The Quadro RTX 4000 suits environments constrained by power limits because its TDP measures 125W against 250W on the RTX 5000 Ada. Its dense FP16 rating of 57 TFLOPS combined with lower overall power draw fits workloads that prioritize efficiency over peak FP32 throughput of 7.1 TFLOPS.

When to Choose the RTX 5000 Ada

The RTX 5000 Ada fits tasks that require greater memory capacity because it provides 32 GB GDDR6 VRAM compared to 8 GB on the Quadro RTX 4000. Its FP32 performance of 65.3 TFLOPS and memory bandwidth of 576 GB/s enable handling of larger data sets than the 7.1 TFLOPS and 416 GB/s available on the Quadro RTX 4000.

Use Cases

LLM Training
RTX 5000 Ada

The RTX 5000 Ada supplies 32 GB VRAM and 65.3 TFLOPS FP32 that exceed the 8 GB VRAM and 7.1 TFLOPS FP32 of the Quadro RTX 4000.

LLM Inference
RTX 5000 Ada

The RTX 5000 Ada provides 32 GB VRAM and 576 GB/s bandwidth that support larger batch sizes than the 8 GB VRAM and 416 GB/s bandwidth of the Quadro RTX 4000.

Fine-tuning
RTX 5000 Ada

The RTX 5000 Ada delivers 32 GB VRAM against 8 GB on the Quadro RTX 4000 and thereby handles fine tuning of models that exceed the smaller memory capacity.

Stable Diffusion
RTX 5000 Ada

The RTX 5000 Ada offers 32 GB VRAM and 65.3 TFLOPS FP32 that surpass the 8 GB VRAM and 7.1 TFLOPS FP32 of the Quadro RTX 4000 for image generation workloads.

Scientific Computing
Either

The Quadro RTX 4000 at 125W TDP and dense FP16 of 57 TFLOPS suits power limited scientific tasks while the RTX 5000 Ada at 65.3 TFLOPS FP32 suits larger scale computations.

Frequently Asked Questions

What FP32 performance do the Quadro RTX 4000 and RTX 5000 Ada provide?▾

The Quadro RTX 4000 achieves 7.1 TFLOPS FP32. The RTX 5000 Ada achieves 65.3 TFLOPS FP32.

Which GPU has higher memory bandwidth between the two models?▾

The RTX 5000 Ada reaches 576 GB/s memory bandwidth. The Quadro RTX 4000 reaches 416 GB/s memory bandwidth.

What is the TDP rating for each GPU?▾

The Quadro RTX 4000 lists a TDP of 125W. The RTX 5000 Ada lists a TDP of 250W.

Does the Quadro RTX 4000 publish a dense FP16 figure?▾

The Quadro RTX 4000 publishes dense FP16 performance at 57 TFLOPS. The RTX 5000 Ada does not publish a dense FP16 figure.

What interconnect versions appear on these GPUs?▾

The Quadro RTX 4000 uses PCIe 3.0 interconnect. The RTX 5000 Ada uses PCIe 4.0 interconnect.

Which is cheaper to rent, the Quadro RTX 4000 or the RTX 5000 Ada?▾

Cloud rental prices for both the Quadro RTX 4000 and RTX 5000 Ada 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 RTX 4000 have compared to the RTX 5000 Ada?▾

The Quadro RTX 4000 has 8 GB of GDDR6 memory. The RTX 5000 Ada has 32 GB of GDDR6 memory.

Can I find Quadro RTX 4000 and RTX 5000 Ada 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 RTX 4000 and the RTX 5000 Ada?▾

The Quadro RTX 4000 uses the Turing architecture (2018) while the RTX 5000 Ada uses Ada Lovelace (2023). The Quadro RTX 4000 has 8 GB of GDDR6 at 416 GB/s; the RTX 5000 Ada has 32 GB of GDDR6 at 576 GB/s, so the RTX 5000 Ada has 1.4x the memory bandwidth of the Quadro RTX 4000.

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Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the Quadro RTX 4000 and the RTX 5000 Ada. 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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