GPU comparison

RTX 3070 vs RTX 4080

Specifications and current cloud pricing, side by side.

AmperevsAda LovelaceUpdated 31 days ago

The RTX 4080 wins for the most common use case of LLM inference and training. Its 97.5 TFLOPS dense FP16 and 16 GB VRAM exceed the 40.6 TFLOPS dense FP16 and 8 GB VRAM of the RTX 3070 by clear margins that justify the higher TDP.

RTX 3070 listed from $0.13/GPU/hrRTX 4080 listed from $0.50/GPU/hr

Specifications Compared

SpecRTX 3070RTX 4080
TDP220W320W
VRAM8 GB16 GB
CUDA Cores5,8889,728
FP8 (dense)Not published194.9 TFLOPS
Memory TypeGDDR6GDDR6X
ArchitectureAmpereAda Lovelace
FP16 (dense)40.6 TFLOPS97.5 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)162.6 TOPS389.9 TOPS
InterconnectPCIe 4.0PCIe 4.0
Tensor Cores184304
FP32 Performance20.3 TFLOPS48.7 TFLOPS
Memory Bandwidth448 GB/s717 GB/s
FP8 (with sparsity)Not published389.8 TFLOPS
FP16 (with sparsity)81.3 TFLOPS195 TFLOPS
INT8 (with sparsity)325.2 TOPS779.8 TOPS

Performance Analysis

The RTX 4080 delivers 97.5 TFLOPS dense FP16 compared with 40.6 TFLOPS dense FP16 on the RTX 3070 yielding a 2.4 times increase in dense FP16 performance. The same ratio holds for FP32 where the RTX 4080 reaches 48.7 TFLOPS against 20.3 TFLOPS on the RTX 3070. Training benefits from the higher dense FP16 figure because gradient computations and forward passes execute faster while inference gains similarly from the dense FP16 throughput when batch sizes remain constant. Sparsity comparisons remain separate with the RTX 4080 at 195 TFLOPS sparse FP16 versus 81.3 TFLOPS sparse FP16 on the RTX 3070.

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 4080

RTX 4080 is not offered on-demand by any provider we track right now. See the RTX 4080 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 environments where power draw must stay at 220 W rather than 320 W. Workloads that fit within 8 GB VRAM and require only 40.6 TFLOPS dense FP16 avoid the extra TDP of the RTX 4080. Scientific computing tasks that rely on the 162.6 TOPS dense INT8 rating of the RTX 3070 complete without excess power consumption.

When to Choose the RTX 4080

The RTX 4080 fits workloads that require 16 GB VRAM and 97.5 TFLOPS dense FP16 to accommodate larger models or batches. Inference and training jobs that scale with the 717 GB/s bandwidth finish faster than on the RTX 3070. Fine-tuning sessions benefit from the doubled memory capacity and the 2.4 times higher dense FP16 rating.

Use Cases

LLM Training
RTX 4080

The RTX 4080 supplies 97.5 TFLOPS dense FP16 and 16 GB VRAM enabling larger models than the 40.6 TFLOPS dense FP16 and 8 GB on the RTX 3070.

LLM Inference
RTX 4080

The RTX 4080 reaches 97.5 TFLOPS dense FP16 and 717 GB/s bandwidth supporting higher throughput than the RTX 3070 at 40.6 TFLOPS dense FP16.

Fine-tuning
RTX 4080

The RTX 4080 provides 16 GB VRAM and 97.5 TFLOPS dense FP16 allowing fine-tuning of models that exceed the 8 GB limit of the RTX 3070.

Stable Diffusion
Either

Both GPUs handle the workload yet the RTX 4080 completes iterations faster with 97.5 TFLOPS dense FP16 while the RTX 3070 suffices at 40.6 TFLOPS dense FP16 when power is limited to 220 W.

Scientific Computing
RTX 3070

The RTX 3070 meets requirements at 220 W TDP and 162.6 TOPS dense INT8 without the 320 W draw of the RTX 4080.

Frequently Asked Questions

How does FP16 performance differ between the RTX 3070 and RTX 4080?▾

The RTX 3070 provides 40.6 TFLOPS dense FP16 while the RTX 4080 provides 97.5 TFLOPS dense FP16. The RTX 3070 also lists 81.3 TFLOPS with sparsity and the RTX 4080 lists 195 TFLOPS with sparsity.

Which GPU has the lower TDP rating?▾

The RTX 3070 carries a 220 W TDP while the RTX 4080 carries a 320 W TDP. Both GPUs use PCIe form factors and PCIe 4.0 interconnect.

How do the FP32 ratings compare?▾

The RTX 3070 delivers 20.3 TFLOPS FP32 and the RTX 4080 delivers 48.7 TFLOPS FP32. These figures remain separate from the FP16 dense and sparse values.

What INT8 performance is published for each card?▾

The RTX 3070 lists 162.6 TOPS dense INT8 and 325.2 TOPS with sparsity. The RTX 4080 lists 389.9 TOPS dense INT8 and 779.8 TOPS with sparsity.

Which is cheaper to rent, the RTX 3070 or the RTX 4080?▾

Cloud rental prices for both the RTX 3070 and RTX 4080 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 4080?▾

The RTX 3070 has 8 GB of GDDR6 memory. The RTX 4080 has 16 GB of GDDR6X memory.

Can I find RTX 3070 and RTX 4080 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 4080?▾

The RTX 3070 uses the Ampere architecture (2020) while the RTX 4080 uses Ada Lovelace (2022). The RTX 4080 delivers 2.4x the dense FP16 throughput (97.5 vs 40.6 TFLOPS, both without sparsity) and 1.6x the memory bandwidth of the RTX 3070.

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 3070 and the RTX 4080. 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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