GPU comparison

RTX 3080 vs RTX PRO 6000

Specifications and current cloud pricing, side by side.

AmperevsBlackwellUpdated 34 days ago

The RTX PRO 6000 wins for the most common use case of LLM inference because its 96 GB VRAM and 503.8 TFLOPS dense FP16 rating exceed the 10 GB to 12 GB VRAM and 59.5 TFLOPS dense FP16 rating of the RTX 3080 by wide margins.

RTX 3080 listed from $0.13/GPU/hrRTX PRO 6000 listed from $0.69/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX PRO 6000 at $0.69/hr on RunPod

    Deploy
  • Most providers in stock: RTX PRO 6000 (6)

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Specifications Compared

SpecRTX 3080RTX PRO 6000
TDP320W600W
VRAM10-12 GB96 GB
CUDA Cores8,70424,064
FP4 (dense)Not published2,015.2 TFLOPS
FP8 (dense)Not published1,007.6 TFLOPS
Memory TypeGDDR6XGDDR7
ArchitectureAmpereBlackwell
FP16 (dense)59.5 TFLOPS503.8 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)238 TOPS1,007.6 TOPS
InterconnectPCIe 4.0PCIe 5.0
Tensor Cores272752
FP32 Performance29.8 TFLOPS126 TFLOPS
Memory Bandwidth760 GB/s1,792 GB/s
FP4 (with sparsity)Not published4,030.4 TFLOPS
FP8 (with sparsity)Not published2,015.2 TFLOPS
FP16 (with sparsity)119 TFLOPS1,007.6 TFLOPS
INT8 (with sparsity)476 TOPS2,015.2 TOPS

Performance Analysis

Dense FP16 performance stands at 59.5 TFLOPS on the RTX 3080 and 503.8 TFLOPS on the RTX PRO 6000 so the latter processes matrix operations at a ratio of 503.8 to 59.5. The FP16 to FP32 ratio equals 2 on the RTX 3080 because 59.5 TFLOPS dense FP16 sits beside 29.8 TFLOPS FP32 while the same ratio reaches 4 on the RTX PRO 6000 because 503.8 TFLOPS dense FP16 sits beside 126 TFLOPS FP32. Memory bandwidth of 1792 GB/s on the RTX PRO 6000 versus 760 GB/s on the RTX 3080 permits larger batch sizes during training and inference workloads that move tensors at those exact rates.

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.

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.

RTX PRO 6000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
RunPodglobal1$0.69—Deploy
Massed Computeus-central-94$2.19$8.76Deploy
QuantaCloudus-midwest-44$2.38$9.53Deploy
VERDAFIN-HEL1$2.40—Deploy
Vast.aiCzechia, CZ1$2.43—Deploy

6 providers in stock, 15 offers (cheapest per provider shown). All RTX PRO 6000 offers, price history and alerts

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When to Choose the RTX 3080

The RTX 3080 suits workloads that fit inside 10 GB to 12 GB VRAM and run under a 320 W power limit. Its 760 GB/s bandwidth and 29.8 TFLOPS FP32 rating handle smaller inference jobs without requiring the 600 W TDP of the alternative card.

When to Choose the RTX PRO 6000

The RTX PRO 6000 suits workloads that require 96 GB VRAM and 1792 GB/s bandwidth for large tensor operations. Its 503.8 TFLOPS dense FP16 rating and 126 TFLOPS FP32 rating accelerate training and inference sequences that exceed the 10 GB to 12 GB capacity of the RTX 3080.

Use Cases

LLM Training
RTX PRO 6000

The RTX PRO 6000 supplies 96 GB VRAM against the 10 GB to 12 GB limit on the RTX 3080 so larger models fit without swapping.

LLM Inference
RTX PRO 6000

Dense FP16 performance of 503.8 TFLOPS on the RTX PRO 6000 exceeds 59.5 TFLOPS on the RTX 3080 while 1792 GB/s bandwidth supports bigger batch sizes.

Fine-tuning
RTX PRO 6000

The RTX PRO 6000 96 GB capacity and 126 TFLOPS FP32 rating accommodate gradient updates that exceed RTX 3080 memory limits.

Stable Diffusion
Either

Both cards run diffusion models yet the RTX 3080 320 W TDP suits lighter sessions while the RTX PRO 6000 handles higher resolutions with 1792 GB/s bandwidth.

Scientific Computing
RTX PRO 6000

FP32 performance of 126 TFLOPS on the RTX PRO 6000 surpasses 29.8 TFLOPS on the RTX 3080 for compute heavy simulations.

Frequently Asked Questions

What are the FP32 ratings for these GPUs?▾

The RTX 3080 reaches 29.8 TFLOPS FP32 and the RTX PRO 6000 reaches 126 TFLOPS FP32.

How does memory bandwidth compare?▾

The RTX 3080 lists 760 GB/s bandwidth and the RTX PRO 6000 lists 1792 GB/s bandwidth.

Which GPU has higher dense FP16 performance?▾

The RTX PRO 6000 lists 503.8 TFLOPS dense FP16 while the RTX 3080 lists 59.5 TFLOPS dense FP16.

What power limits apply to each card?▾

The RTX 3080 carries a 320 W TDP and the RTX PRO 6000 carries a 600 W TDP.

Do the cards share the same interconnect?▾

The RTX 3080 uses PCIe 4.0 while the RTX PRO 6000 uses PCIe 5.0.

Which is cheaper to rent, the RTX 3080 or the RTX PRO 6000?▾

Cloud rental prices for both the RTX 3080 and RTX PRO 6000 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 RTX 3080 have compared to the RTX PRO 6000?▾

The RTX 3080 has 10 to 12 GB of GDDR6X memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.

Can I find RTX 3080 and RTX PRO 6000 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 RTX 3080 and the RTX PRO 6000?▾

The RTX 3080 uses the Ampere architecture (2020) while the RTX PRO 6000 uses Blackwell (2025). The RTX PRO 6000 delivers 8.5x the dense FP16 throughput (503.8 vs 59.5 TFLOPS, both without sparsity) and 2.4x the memory bandwidth of the RTX 3080.

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 RTX 3080 and the RTX PRO 6000. 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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