GPU comparison

RTX 3070 vs RTX 3080

Specifications and current cloud pricing, side by side.

AmperevsAmpereUpdated 33 days ago

The RTX 3080 wins for the most common use case of LLM inference. Its 59.5 TFLOPS FP16 dense, 760 GB/s bandwidth, and 10-12 GB capacity deliver higher throughput than the RTX 3070 specifications while remaining on the same PCIe platform.

RTX 3070 listed from $0.13/GPU/hrRTX 3080 listed from $0.13/GPU/hr

Specifications Compared

SpecRTX 3070RTX 3080
TDP220W320W
VRAM8 GB10-12 GB
CUDA Cores5,8888,704
Memory TypeGDDR6GDDR6X
ArchitectureAmpereAmpere
FP16 (dense)40.6 TFLOPS59.5 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)162.6 TOPS238 TOPS
InterconnectPCIe 4.0PCIe 4.0
Tensor Cores184272
FP32 Performance20.3 TFLOPS29.8 TFLOPS
Memory Bandwidth448 GB/s760 GB/s
FP16 (with sparsity)81.3 TFLOPS119 TFLOPS
INT8 (with sparsity)325.2 TOPS476 TOPS

Performance Analysis

FP16 dense performance measures 40.6 TFLOPS on the RTX 3070 and 59.5 TFLOPS on the RTX 3080, maintaining the same 1.47 times ratio observed in FP32. FP16 with sparsity reaches 81.3 TFLOPS on the RTX 3070 and 119 TFLOPS on the RTX 3080. The doubled FP16 dense figure relative to FP32 on each card supports mixed-precision training and inference without additional hardware changes. Memory bandwidth of 760 GB/s on the RTX 3080 versus 448 GB/s on the RTX 3070 permits larger batch sizes during model execution. INT8 dense throughput of 238 TOPS on the RTX 3080 exceeds the 162.6 TOPS of the RTX 3070 by the same 1.47 times factor.

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 3070

RTX 3070 is not offered on-demand by any provider we track right now. See the RTX 3070 rental page for last-seen listed prices and a price alert.

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 RTX 3070

The RTX 3070 suits deployments where power limits constrain operation at 220W TDP. Its 8 GB capacity handles inference workloads that fit within that memory envelope while drawing less power than the 320W TDP of the RTX 3080. Users select the RTX 3070 when FP32 at 20.3 TFLOPS meets throughput targets without requiring additional bandwidth.

When to Choose the RTX 3080

FP32 performance at 29.8 TFLOPS and FP16 dense at 59.5 TFLOPS accelerate both training and inference relative to the lower figures on the RTX 3070. The card serves scenarios where the 1.47 times compute increase justifies the higher 320W TDP.

Use Cases

LLM Training
RTX 3080

The RTX 3080 supplies 29.8 TFLOPS FP32 and 760 GB/s bandwidth that exceed the RTX 3070 values for larger model training runs.

LLM Inference
RTX 3080

FP16 dense performance at 59.5 TFLOPS combined with 10-12 GB VRAM supports higher throughput than the 40.6 TFLOPS and 8 GB on the RTX 3070.

Fine-tuning
RTX 3080

The RTX 3080 provides 238 TOPS INT8 dense and greater memory bandwidth that accommodate fine-tuning workloads beyond the RTX 3070 limits.

Stable Diffusion
Either

Both cards deliver sufficient FP16 dense performance for image generation tasks when memory fits within 8 GB or 10-12 GB.

Scientific Computing
RTX 3080

FP32 at 29.8 TFLOPS and 760 GB/s bandwidth on the RTX 3080 enable faster execution of compute kernels compared with 20.3 TFLOPS and 448 GB/s.

Frequently Asked Questions

What is the FP32 performance difference between RTX 3070 and RTX 3080?▾

The RTX 3070 reaches 20.3 TFLOPS FP32 while the RTX 3080 reaches 29.8 TFLOPS FP32, a 1.47 times increase.

How does memory bandwidth compare on these two GPUs?▾

The RTX 3070 provides 448 GB/s while the RTX 3080 provides 760 GB/s, allowing the RTX 3080 to sustain larger data transfers during model execution.

What are the TDP values for the RTX 3070 and RTX 3080?▾

The RTX 3070 lists a 220W TDP and the RTX 3080 lists a 320W TDP.

How do the FP16 dense figures relate to FP32 on each card?▾

FP16 dense equals exactly twice the FP32 value on both cards, 40.6 TFLOPS versus 20.3 TFLOPS on the RTX 3070 and 59.5 TFLOPS versus 29.8 TFLOPS on the RTX 3080.

Do the cards share the same interconnect?▾

Both the RTX 3070 and RTX 3080 use PCIe 4.0 interconnect in PCIe form factor.

Which is cheaper to rent, the RTX 3070 or the RTX 3080?▾

Cloud rental prices for both the RTX 3070 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 RTX 3070 have compared to the RTX 3080?▾

The RTX 3070 has 8 GB of GDDR6 memory. The RTX 3080 has 10 to 12 GB of GDDR6X memory.

Can I find RTX 3070 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 RTX 3070 and the RTX 3080?▾

The RTX 3070 uses the Ampere architecture (2020) while the RTX 3080 uses Ampere (2020). The RTX 3080 delivers 1.5x the dense FP16 throughput (59.5 vs 40.6 TFLOPS, both without sparsity) and 1.7x the memory bandwidth of the RTX 3070.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the RTX 3070 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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