GPU comparison

Quadro RTX 4000 vs RTX 4000 Ada

Specifications and current cloud pricing, side by side.

TuringvsAda LovelaceUpdated 29 days ago

The RTX 4000 Ada wins for the most common use case of FP32 based inference because its 26.7 TFLOPS FP32 dense exceeds the 7.1 TFLOPS of the Quadro RTX 4000 while offering 20 GB VRAM versus 8 GB.

Quadro RTX 4000 from $0.56/GPU/hrRTX 4000 Ada from $0.28/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX 4000 Ada at $0.28/hr on RunPod

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  • Most providers in stock: RTX 4000 Ada (2)

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Specifications Compared

SpecQuadro RTX 4000RTX 4000 Ada
TDP125W130W
VRAM8 GB20 GB
CUDA Cores2,3046,144
Memory TypeGDDR6GDDR6
ArchitectureTuringAda Lovelace
FP16 (dense)57 TFLOPSNot published
Form FactorsPCIePCIe
InterconnectPCIe 3.0PCIe 4.0
Tensor Cores288192
FP32 Performance7.1 TFLOPS26.7 TFLOPS
Memory Bandwidth416 GB/s360 GB/s
FP8 (with sparsity)Not published427.6 TFLOPS

Performance Analysis

The FP32 dense performance of the RTX 4000 Ada reaches 26.7 TFLOPS compared with 7.1 TFLOPS on the Quadro RTX 4000. This difference indicates that the RTX 4000 Ada processes FP32 operations at a higher rate for training and inference workloads that rely on dense FP32 arithmetic. The Quadro RTX 4000 supplies 57 TFLOPS FP16 dense while the RTX 4000 Ada lists no FP16 figure. Memory bandwidth of 416 GB/s on the Quadro RTX 4000 exceeds the 360 GB/s on the RTX 4000 Ada so batch size scaling may favor the older card in bandwidth limited scenarios. The RTX 4000 Ada provides 427.6 TFLOPS FP8 with sparsity for workloads that accept sparsity.

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 4000 Ada

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
RunPodglobal1$0.28—Deploy
DigitalOceanToronto 11$0.76—Deploy

2 providers in stock, 2 offers. All RTX 4000 Ada offers, price history and alerts

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When to Choose the Quadro RTX 4000

The Quadro RTX 4000 suits environments that require 57 TFLOPS FP16 dense and 416 GB/s memory bandwidth. Its 125W TDP and PCIe 3.0 interconnect fit systems with power or slot constraints that match Turing generation hardware.

When to Choose the RTX 4000 Ada

The RTX 4000 Ada fits workloads that need 20 GB GDDR6 VRAM and 26.7 TFLOPS FP32 dense. Its PCIe 4.0 interconnect and 427.6 TFLOPS FP8 with sparsity support newer inference pipelines that benefit from higher capacity and Ada Lovelace throughput.

Use Cases

LLM Training
RTX 4000 Ada

The RTX 4000 Ada supplies 20 GB VRAM and 26.7 TFLOPS FP32 dense compared with 8 GB and 7.1 TFLOPS on the Quadro RTX 4000.

LLM Inference
RTX 4000 Ada

The RTX 4000 Ada delivers 26.7 TFLOPS FP32 dense and 20 GB VRAM that exceed the 7.1 TFLOPS and 8 GB of the Quadro RTX 4000.

Fine-tuning
RTX 4000 Ada

The RTX 4000 Ada provides 20 GB GDDR6 VRAM and 26.7 TFLOPS FP32 dense versus 8 GB and 7.1 TFLOPS on the Quadro RTX 4000.

Stable Diffusion
RTX 4000 Ada

The RTX 4000 Ada offers 20 GB VRAM and 427.6 TFLOPS FP8 with sparsity that surpass the 8 GB and FP16 dense limit of the Quadro RTX 4000.

Scientific Computing
RTX 4000 Ada

The RTX 4000 Ada achieves 26.7 TFLOPS FP32 dense with 20 GB VRAM while the Quadro RTX 4000 reaches 7.1 TFLOPS FP32 dense with 8 GB VRAM.

Frequently Asked Questions

What is the FP32 performance difference between these GPUs?▾

The RTX 4000 Ada reaches 26.7 TFLOPS FP32 dense while the Quadro RTX 4000 reaches 7.1 TFLOPS FP32 dense.

Which GPU has higher memory bandwidth?▾

The Quadro RTX 4000 lists 416 GB/s memory bandwidth compared with 360 GB/s on the RTX 4000 Ada.

What architectures do these cards use?▾

The Quadro RTX 4000 uses Turing architecture and the RTX 4000 Ada uses Ada Lovelace architecture.

What are the TDP ratings for each model?▾

The Quadro RTX 4000 has a 125W TDP and the RTX 4000 Ada has a 130W TDP.

Which interconnect does each GPU support?▾

The Quadro RTX 4000 uses PCIe 3.0 and the RTX 4000 Ada uses PCIe 4.0.

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

Cloud rental prices for both the Quadro RTX 4000 and RTX 4000 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 4000 Ada?▾

The Quadro RTX 4000 has 8 GB of GDDR6 memory. The RTX 4000 Ada has 20 GB of GDDR6 memory.

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

The Quadro RTX 4000 uses the Turing architecture (2018) while the RTX 4000 Ada uses Ada Lovelace (2023). The Quadro RTX 4000 has 8 GB of GDDR6 at 416 GB/s; the RTX 4000 Ada has 20 GB of GDDR6 at 360 GB/s, so the Quadro RTX 4000 has 1.2x the memory bandwidth of the RTX 4000 Ada.

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How this page is made

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