GPU comparison

GTX 1080 vs RTX 5070

Specifications and current cloud pricing, side by side.

PascalvsBlackwellUpdated 33 days ago

The RTX 5070 wins for the most common use case of LLM inference because its dense FP16 performance of 61.7 TFLOPS and 672 GB/s bandwidth deliver substantially higher throughput than the GTX 1080 8.9 TFLOPS FP32 and 320 GB/s bandwidth.

GTX 1080 listed from $0.45/GPU/hrRTX 5070 listed from $0.17/GPU/hr

Right now, from live stock

  • Cheapest right now: GTX 1080 at $0.45/hr on LeaderGPU

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  • Most providers in stock: GTX 1080 (1)

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Specifications Compared

SpecGTX 1080RTX 5070
TDP180W250W
VRAM8-11 GB12-16 GB
CUDA Cores2,5606,144
FP4 (dense)Not published493.9 TFLOPS
FP8 (dense)Not published123.5 TFLOPS
Memory TypeGDDR5XGDDR7
ArchitecturePascalBlackwell
FP16 (dense)Not published61.7 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)Not published246.9 TOPS
InterconnectPCIe 3.0PCIe 5.0
Tensor CoresNot published192
FP32 Performance8.9 TFLOPS30.9 TFLOPS
Memory Bandwidth320 GB/s672 GB/s
FP4 (with sparsity)Not published987.8 TFLOPS
FP8 (with sparsity)Not published246.9 TFLOPS
FP16 (with sparsity)Not published123.5 TFLOPS
INT8 (with sparsity)Not published493.9 TOPS

Performance Analysis

The RTX 5070 FP32 figure of 30.9 TFLOPS exceeds the GTX 1080 value of 8.9 TFLOPS by a factor of roughly 3.5. Its dense FP16 performance reaches 61.7 TFLOPS which supports larger batch sizes during inference compared with the GTX 1080 that lacks published FP16 data. Memory bandwidth of 672 GB/s on the RTX 5070 versus 320 GB/s on the GTX 1080 allows the newer card to sustain higher data movement rates that benefit training steps. When sparsity is applied the RTX 5070 dense FP16 value of 61.7 TFLOPS doubles to 123.5 TFLOPS with sparsity yet comparisons must remain within the same category. These ratios indicate the RTX 5070 handles modern tensor workloads more efficiently while the GTX 1080 remains limited to its published FP32 throughput.

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.

GTX 1080

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
LeaderGPUThe Netherlands4$0.45$1.80Deploy

1 provider in stock, 2 offers (cheapest per provider shown). All GTX 1080 offers, price history and alerts

RTX 5070

RTX 5070 is not offered on-demand by any provider we track right now. See the RTX 5070 rental page for last-seen listed prices and a price alert.

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When to Choose the GTX 1080

The GTX 1080 suits environments constrained to 180W power draw where the RTX 5070 250W TDP would exceed limits. Its PCIe 3.0 interconnect matches legacy motherboards that cannot utilize the RTX 5070 PCIe 5.0 interface. Workloads that require only 8.9 TFLOPS FP32 and fit within 8 to 11 GB GDDR5X memory avoid the need for newer hardware.

When to Choose the RTX 5070

Its 672 GB/s bandwidth supports larger batches than the 320 GB/s available on the GTX 1080. Systems with PCIe 5.0 slots and 250W power budgets gain from the Blackwell architecture and 12 to 16 GB GDDR7 capacity.

Use Cases

LLM Training
RTX 5070

The RTX 5070 supplies 30.9 TFLOPS FP32 and dense FP16 at 61.7 TFLOPS that exceed GTX 1080 capabilities.

LLM Inference
RTX 5070

Dense FP16 performance of 61.7 TFLOPS and 672 GB/s bandwidth on the RTX 5070 enable larger batch processing than the GTX 1080.

Fine-tuning
RTX 5070

The RTX 5070 FP32 rating of 30.9 TFLOPS combined with 12 to 16 GB memory supports fine tuning workloads beyond GTX 1080 limits.

Stable Diffusion
RTX 5070

Higher memory bandwidth of 672 GB/s and dense FP16 at 61.7 TFLOPS on the RTX 5070 accelerate image generation compared with the GTX 1080.

Scientific Computing
Either

The GTX 1080 8.9 TFLOPS FP32 at 180W TDP works for power sensitive scientific codes while the RTX 5070 30.9 TFLOPS suits higher demand jobs.

Frequently Asked Questions

How does FP32 performance differ between the GTX 1080 and RTX 5070?▾

The GTX 1080 delivers 8.9 TFLOPS FP32. The RTX 5070 reaches 30.9 TFLOPS FP32. This difference affects compute bound scientific workloads.

What memory bandwidth values appear on each card?▾

The GTX 1080 lists 320 GB/s memory bandwidth. The RTX 5070 lists 672 GB/s memory bandwidth. Bandwidth directly influences data transfer rates during training.

Which GPU offers published dense FP16 performance?▾

The RTX 5070 provides dense FP16 at 61.7 TFLOPS. The GTX 1080 has no published FP16 figure. Dense FP16 supports inference acceleration on the newer card.

How do TDP ratings compare for these GPUs?▾

The GTX 1080 TDP is 180W. The RTX 5070 TDP is 250W. Power budgets determine suitability for compact or legacy systems.

Which is cheaper to rent, the GTX 1080 or the RTX 5070?▾

Cloud rental prices for both the GTX 1080 and RTX 5070 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 GTX 1080 have compared to the RTX 5070?▾

The GTX 1080 has 8 to 11 GB of GDDR5X memory. The RTX 5070 has 12 to 16 GB of GDDR7 memory.

Can I find GTX 1080 and RTX 5070 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 GTX 1080 and the RTX 5070?▾

The GTX 1080 uses the Pascal architecture (2016) while the RTX 5070 uses Blackwell (2025). The GTX 1080 has 8-11 GB of GDDR5X at 320 GB/s; the RTX 5070 has 12-16 GB of GDDR7 at 672 GB/s, so the RTX 5070 has 2.1x the memory bandwidth of the GTX 1080.

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 GTX 1080 and the RTX 5070. 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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