RTX 3080 vs RTX 4080

AmperevsAda LovelaceUpdated 6 days ago

The RTX 4080 provides the stronger choice for the most common use case of LLM inference because its 97.5 TFLOPS FP16 dense rating and 16 GB VRAM exceed the corresponding 59.5 TFLOPS and 10 to 12 GB figures on the RTX 3080 while both cards share identical 320 W TDP.

RTX 3080 listed from $0.13/GPU/hrRTX 4080 listed from $0.50/GPU/hr

Specifications Compared

SpecRTX 3080RTX 4080
TDP320W320W
VRAM10-12 GB16 GB
CUDA Cores8,7049,728
FP8 (dense)Not published194.9 TFLOPS
Memory TypeGDDR6XGDDR6X
ArchitectureAmpereAda Lovelace
FP16 (dense)59.5 TFLOPS97.5 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)238 TOPS389.9 TOPS
InterconnectPCIe 4.0PCIe 4.0
Tensor Cores272304
FP32 Performance29.8 TFLOPS48.7 TFLOPS
Memory Bandwidth760 GB/s717 GB/s
FP8 (with sparsity)Not published389.8 TFLOPS
FP16 (with sparsity)119 TFLOPS195 TFLOPS
INT8 (with sparsity)476 TOPS779.8 TOPS

Performance Analysis

The FP16 dense rating of 97.5 TFLOPS on the RTX 4080 exceeds the FP16 dense rating of 59.5 TFLOPS on the RTX 3080. The FP32 rating of 48.7 TFLOPS on the RTX 4080 exceeds the FP32 rating of 29.8 TFLOPS on the RTX 3080. These ratios indicate greater throughput for training and inference operations when both GPUs operate in dense mode. Memory bandwidth of 760 GB/s on the RTX 3080 exceeds 717 GB/s on the RTX 4080 which can support larger batch sizes in bandwidth limited scenarios. FP16 with sparsity reaches 195 TFLOPS on the RTX 4080 and 119 TFLOPS on the RTX 3080. INT8 with sparsity reaches 779.8 TOPS on the RTX 4080 and 476 TOPS on the RTX 3080. Both GPUs maintain the same 320 W TDP so power draw remains equivalent across these precision modes.

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 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 3080

The RTX 3080 suits workloads where memory bandwidth of 760 GB/s provides an advantage over 717 GB/s on the RTX 4080. Tasks that remain within 10 to 12 GB VRAM and rely on the listed 29.8 TFLOPS FP32 dense performance can favor the RTX 3080 when higher bandwidth offsets lower compute figures.

When to Choose the RTX 4080

The RTX 4080 suits workloads that require 16 GB VRAM and the listed 97.5 TFLOPS FP16 dense performance. Tasks that scale with 48.7 TFLOPS FP32 dense or 389.9 TOPS INT8 dense benefit from the higher throughput figures compared with the RTX 3080.

Use Cases

LLM Training
RTX 4080

The RTX 4080 delivers 97.5 TFLOPS FP16 dense compared with 59.5 TFLOPS FP16 dense on the RTX 3080.

LLM Inference
RTX 4080

The RTX 4080 supplies 16 GB VRAM and 97.5 TFLOPS FP16 dense which exceed the 10 to 12 GB and 59.5 TFLOPS figures on the RTX 3080.

Fine-tuning
RTX 4080

The RTX 4080 provides 48.7 TFLOPS FP32 dense compared with 29.8 TFLOPS FP32 dense on the RTX 3080.

Stable Diffusion
Either

Both GPUs share 320 W TDP and the bandwidth difference of 760 GB/s versus 717 GB/s yields similar batch size limits for this workload.

Scientific Computing
RTX 4080

The RTX 4080 reaches 48.7 TFLOPS FP32 dense which exceeds the 29.8 TFLOPS FP32 dense rating on the RTX 3080.

Frequently Asked Questions

What FP16 dense performance does the RTX 3080 deliver?

The RTX 3080 delivers 59.5 TFLOPS FP16 dense. The RTX 4080 delivers 97.5 TFLOPS FP16 dense for comparison.

How does memory bandwidth differ between the RTX 3080 and RTX 4080?

The RTX 3080 lists 760 GB/s memory bandwidth. The RTX 4080 lists 717 GB/s memory bandwidth.

What FP32 performance is published for each GPU?

The RTX 3080 lists 29.8 TFLOPS FP32. The RTX 4080 lists 48.7 TFLOPS FP32.

Do both GPUs share the same TDP rating?

Both the RTX 3080 and RTX 4080 list a 320 W TDP. Power consumption remains equivalent under this specification.

What INT8 dense performance does the RTX 4080 provide?

The RTX 4080 provides 389.9 TOPS INT8 dense. The RTX 3080 provides 238 TOPS INT8 dense.

Which is cheaper to rent, the RTX 3080 or the RTX 4080?

Cloud rental prices for both the RTX 3080 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 3080 have compared to the RTX 4080?

The RTX 3080 has 10 to 12 GB of GDDR6X memory. The RTX 4080 has 16 GB of GDDR6X memory.

Can I find RTX 3080 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 3080 and the RTX 4080?

The RTX 3080 uses the Ampere architecture (2020) while the RTX 4080 uses Ada Lovelace (2022). The RTX 4080 delivers 1.6x the dense FP16 throughput (97.5 vs 59.5 TFLOPS, both without sparsity) while the RTX 3080 has 1.1x the memory bandwidth of the RTX 4080.

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 RTX 3080 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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