GPU comparison

GTX 1080 vs RTX A5000

Specifications and current cloud pricing, side by side.

PascalvsAmpereUpdated 34 days ago

The RTX A5000 wins for the most common use case of LLM inference because its 24 GB VRAM, 768 GB/s bandwidth and 222.2 TFLOPS FP16 with sparsity deliver higher throughput than the GTX 1080 8.9 TFLOPS dense FP32 and 320 GB/s bandwidth.

GTX 1080 from $0.45/GPU/hrRTX A5000 from $0.23/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX A5000 at $0.23/hr on Vast.ai

    Deploy
  • Most providers in stock: RTX A5000 (2)

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Specifications Compared

SpecGTX 1080RTX A5000
TDP180W230W
VRAM8-11 GB24 GB
CUDA Cores2,5608,192
Memory TypeGDDR5XGDDR6
ArchitecturePascalAmpere
Form FactorsPCIePCIe
InterconnectPCIe 3.0NVLink, PCIe 4.0
Tensor CoresNot published256
FP32 Performance8.9 TFLOPS27.8 TFLOPS
Memory Bandwidth320 GB/s768 GB/s
FP16 (with sparsity)Not published222.2 TFLOPS

Performance Analysis

The RTX A5000 FP32 figure of 27.8 TFLOPS exceeds the GTX 1080 dense FP32 figure of 8.9 TFLOPS by a factor of roughly three times which translates to faster completion of dense matrix operations in training and inference pipelines. The RTX A5000 also lists 222.2 TFLOPS FP16 with sparsity that has no counterpart published for the GTX 1080 so direct dense FP16 ratios cannot be formed. Memory bandwidth of 768 GB/s on the RTX A5000 versus 320 GB/s on the GTX 1080 permits larger batch sizes before memory capacity of 24 GB versus 8 to 11 GB becomes the limiting factor during data movement in scientific computing kernels.

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 A5000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Vast.aiRomania, RO1$0.23—Deploy
Paperspaceams11$1.38—Deploy

2 providers in stock, 7 offers (cheapest per provider shown). All RTX A5000 offers, price history and alerts

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When to Choose the GTX 1080

The GTX 1080 suits workloads that fit within 8 to 11 GB VRAM and operate primarily on dense FP32 at 8.9 TFLOPS where the 180W TDP reduces power draw compared with 230W. Scenarios such as legacy application testing or light inference tasks that do not require NVLink or PCIe 4.0 benefit from retaining the older card.

When to Choose the RTX A5000

The RTX A5000 fits tasks that demand 24 GB VRAM together with 768 GB/s bandwidth and 222.2 TFLOPS FP16 with sparsity for accelerated sparse tensor operations. Users running fine tuning or stable diffusion workloads gain from the higher 27.8 TFLOPS dense FP32 and the availability of NVLink interconnects.

Use Cases

LLM Training
RTX A5000

The RTX A5000 supplies 24 GB VRAM and 27.8 TFLOPS dense FP32 that exceed the GTX 1080 limits of 8 to 11 GB and 8.9 TFLOPS.

LLM Inference
RTX A5000

The RTX A5000 222.2 TFLOPS FP16 with sparsity and 768 GB/s bandwidth support larger models than the GTX 1080 320 GB/s bandwidth allows.

Fine-tuning
RTX A5000

The RTX A5000 24 GB capacity and NVLink interconnect handle parameter updates more effectively than the GTX 1080 PCIe 3.0 connection.

Stable Diffusion
RTX A5000

The RTX A5000 768 GB/s memory bandwidth paired with 27.8 TFLOPS dense FP32 accelerates image generation beyond GTX 1080 capabilities.

Scientific Computing
Either

The GTX 1080 8.9 TFLOPS dense FP32 at 180W TDP suffices for smaller grids while the RTX A5000 27.8 TFLOPS dense FP32 suits larger simulations.

Frequently Asked Questions

How does FP32 performance compare between the GTX 1080 and RTX A5000?▾

The GTX 1080 lists 8.9 TFLOPS dense FP32 while the RTX A5000 lists 27.8 TFLOPS dense FP32 resulting in a three times difference in dense floating point throughput.

What memory specifications separate the two GPUs?▾

The GTX 1080 carries 8 to 11 GB GDDR5X at 320 GB/s bandwidth whereas the RTX A5000 carries 24 GB GDDR6 at 768 GB/s bandwidth.

Which GPU offers higher FP16 capability?▾

The RTX A5000 provides 222.2 TFLOPS FP16 with sparsity while the GTX 1080 has no FP16 figure published by the vendor.

How do power and interconnect options differ?▾

The GTX 1080 operates at 180W TDP over PCIe 3.0 whereas the RTX A5000 operates at 230W TDP over NVLink and PCIe 4.0.

Can the GTX 1080 handle the same batch sizes as the RTX A5000?▾

The GTX 1080 8 to 11 GB VRAM and 320 GB/s bandwidth restrict batch sizes below those permitted by the RTX A5000 24 GB VRAM and 768 GB/s bandwidth.

Which is cheaper to rent, the GTX 1080 or the RTX A5000?▾

Cloud rental prices for both the GTX 1080 and RTX A5000 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 A5000?▾

The GTX 1080 has 8 to 11 GB of GDDR5X memory. The RTX A5000 has 24 GB of GDDR6 memory.

Can I find GTX 1080 and RTX A5000 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 A5000?▾

The GTX 1080 uses the Pascal architecture (2016) while the RTX A5000 uses Ampere (2021). The GTX 1080 has 8-11 GB of GDDR5X at 320 GB/s; the RTX A5000 has 24 GB of GDDR6 at 768 GB/s, so the RTX A5000 has 2.4x the memory bandwidth of the GTX 1080.

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 GTX 1080 and the RTX A5000. 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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