GPU comparison

Quadro RTX 4000 vs RTX 3080

Specifications and current cloud pricing, side by side.

TuringvsAmpereUpdated 29 days ago

The RTX 3080 serves as the better choice for the most common compute workloads because the 29.8 TFLOPS FP32 rating and 760 GB per second bandwidth provide greater capacity than the 7.1 TFLOPS and 416 GB per second of the Quadro RTX 4000.

Quadro RTX 4000 listed from $0.56/GPU/hrRTX 3080 listed from $0.13/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 3080
TDP125W320W
VRAM8 GB10-12 GB
CUDA Cores2,3048,704
Memory TypeGDDR6GDDR6X
ArchitectureTuringAmpere
FP16 (dense)57 TFLOPS59.5 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)Not published238 TOPS
InterconnectPCIe 3.0PCIe 4.0
Tensor Cores288272
FP32 Performance7.1 TFLOPS29.8 TFLOPS
Memory Bandwidth416 GB/s760 GB/s
FP16 (with sparsity)Not published119 TFLOPS
INT8 (with sparsity)Not published476 TOPS

Performance Analysis

Dense FP16 performance reaches 57 TFLOPS on the Quadro RTX 4000 and 59.5 TFLOPS on the RTX 3080 so throughput remains comparable for inference when sparsity stays unused. FP32 performance stands at 7.1 TFLOPS versus 29.8 TFLOPS which shows the RTX 3080 handles over four times the single precision operations. Memory bandwidth at 416 GB per second restricts batch sizes on the Quadro RTX 4000 relative to 760 GB per second on the RTX 3080 during training and inference steps.

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 3080

RTX 3080 is not offered on-demand by any provider we track right now. See the RTX 3080 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 fits deployments that require a 125 watt TDP limit. Its 8 GB memory and PCIe 3.0 interconnect support stable operation in constrained power or cooling setups. Professional environments that run smaller models select this card to avoid the 320 watt draw of the alternative.

When to Choose the RTX 3080

The RTX 3080 delivers 29.8 TFLOPS FP32 and 760 GB per second bandwidth for larger data movement. Its 10 to 12 GB capacity accommodates bigger batches than the 8 GB option. Workloads that need PCIe 4.0 interconnect and higher dense FP16 at 59.5 TFLOPS choose this card.

Use Cases

LLM Training
RTX 3080

The 29.8 TFLOPS FP32 and 760 GB per second bandwidth support larger batches than the 7.1 TFLOPS and 416 GB per second available on the other card.

LLM Inference
RTX 3080

Dense FP16 at 59.5 TFLOPS combined with 10 to 12 GB memory allows higher throughput than 57 TFLOPS and 8 GB.

Fine-tuning
RTX 3080

The 320 watt TDP card supplies 29.8 TFLOPS FP32 which exceeds the 7.1 TFLOPS of the lower power card for model updates.

Stable Diffusion
RTX 3080

Memory capacity of 10 to 12 GB and 760 GB per second bandwidth exceed the 8 GB and 416 GB per second limits.

Scientific Computing
Quadro RTX 4000

A 125 watt TDP fits power limited scientific setups while still providing 7.1 TFLOPS FP32 and 8 GB memory.

Frequently Asked Questions

What memory capacities distinguish these GPUs?▾

The Quadro RTX 4000 holds 8 GB of GDDR6 while the RTX 3080 holds 10 to 12 GB of GDDR6X.

How do the FP32 ratings compare?▾

FP32 performance measures 7.1 TFLOPS on the Quadro RTX 4000 and 29.8 TFLOPS on the RTX 3080.

What are the dense FP16 values for each card?▾

Dense FP16 reaches 57 TFLOPS on the Quadro RTX 4000 and 59.5 TFLOPS on the RTX 3080.

Which GPU uses less power?▾

The Quadro RTX 4000 operates at a 125 watt TDP while the RTX 3080 operates at a 320 watt TDP.

What interconnect standards appear on each model?▾

The Quadro RTX 4000 uses PCIe 3.0 and the RTX 3080 uses PCIe 4.0.

How does memory bandwidth differ?▾

Memory bandwidth stands at 416 GB per second for the Quadro RTX 4000 and 760 GB per second for the RTX 3080.

Which is cheaper to rent, the Quadro RTX 4000 or the RTX 3080?▾

Cloud rental prices for both the Quadro RTX 4000 and RTX 3080 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 3080?▾

The Quadro RTX 4000 has 8 GB of GDDR6 memory. The RTX 3080 has 10 to 12 GB of GDDR6X memory.

Can I find Quadro RTX 4000 and RTX 3080 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 3080?▾

The Quadro RTX 4000 uses the Turing architecture (2018) while the RTX 3080 uses Ampere (2020). Both deliver the same dense FP16 throughput (59.5 TFLOPS without sparsity), and the RTX 3080 has 1.8x the memory bandwidth of the Quadro RTX 4000.

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 RTX 4000 and the RTX 3080. 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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