GPU comparison

A10 vs RTX 2080

Specifications and current cloud pricing, side by side.

AmperevsTuringUpdated 32 days ago

The A10 wins for the most common use case of model training and inference because its 125 TFLOPS dense FP16 and 24 GB VRAM surpass the 40.3 TFLOPS dense FP16 and 8-11 GB range of the RTX 2080 while operating at 150W TDP instead of 215W.

A10 listed from $0.37/GPU/hrRTX 2080 listed from $0.12/GPU/hr

Right now, from live stock

Specifications Compared

SpecA10RTX 2080
TDP150W215W
VRAM24 GB8-11 GB
CUDA Cores9,2162,944
Memory TypeGDDR6GDDR6
ArchitectureAmpereTuring
FP16 (dense)125 TFLOPS40.3 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)250 TOPS161.1 TOPS
InterconnectPCIe 4.0NVLink, PCIe 3.0
Tensor Cores288368
FP32 Performance31.2 TFLOPS10 TFLOPS
Memory Bandwidth600 GB/s448 GB/s
FP16 (with sparsity)250 TFLOPSNot published
INT8 (with sparsity)500 TOPSNot published

Performance Analysis

The FP16 dense performance of 125 TFLOPS on the A10 exceeds the 40.3 TFLOPS dense FP16 on the RTX 2080 by a factor of three while FP32 figures show 31.2 TFLOPS versus 10 TFLOPS. This delta supports faster matrix operations in training and inference when dense FP16 precision applies to both GPUs. Memory bandwidth at 600 GB/s on the A10 versus 448 GB/s on the RTX 2080 permits larger batch sizes during model execution because data movement occurs at a higher rate. INT8 dense performance reaches 250 TOPS on the A10 compared to 161.1 TOPS on the RTX 2080 which favors quantized inference tasks on the A10. Sparsity figures for the A10 at 250 TFLOPS FP16 and 500 TOPS INT8 remain separate from dense comparisons and cannot be mixed with the dense values of the RTX 2080.

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.

A10

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
LeaderGPUThe Netherlands10$0.37$3.71Deploy
Lambda Labsus-east-11$1.29—Deploy

2 providers in stock, 3 offers (cheapest per provider shown). All A10 offers, price history and alerts

RTX 2080

RTX 2080 is not offered on-demand by any provider we track right now. See the RTX 2080 rental page for last-seen listed prices and a price alert.

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When to Choose the A10

The A10 suits workloads that require 24 GB GDDR6 VRAM and 600 GB/s memory bandwidth because these values exceed the 8-11 GB and 448 GB/s on the RTX 2080. Lower TDP at 150W combined with 31.2 TFLOPS FP32 makes the A10 preferable for sustained operations where power efficiency matters. PCIe 4.0 interconnect further supports the A10 in systems that prioritize newer data transfer standards over NVLink availability.

When to Choose the RTX 2080

The RTX 2080 fits scenarios that utilize NVLink interconnect because the A10 lacks this option and relies solely on PCIe 4.0.

Use Cases

LLM Training
A10

The A10 supplies 125 TFLOPS dense FP16 and 24 GB VRAM which exceed the 40.3 TFLOPS dense FP16 and 8-11 GB on the RTX 2080.

LLM Inference
A10

INT8 dense performance at 250 TOPS on the A10 surpasses 161.1 TOPS on the RTX 2080 while 600 GB/s bandwidth supports larger batches.

Fine-tuning
A10

FP32 at 31.2 TFLOPS and 24 GB GDDR6 on the A10 enable more efficient parameter updates than 10 TFLOPS and 8-11 GB on the RTX 2080.

Stable Diffusion
A10

Higher memory bandwidth of 600 GB/s and 24 GB capacity on the A10 accommodate larger image generation workloads compared to 448 GB/s and 8-11 GB.

Scientific Computing
A10

The A10 delivers 31.2 TFLOPS FP32 at 150W TDP which provides better efficiency than 10 TFLOPS at 215W on the RTX 2080.

Frequently Asked Questions

How does FP16 performance compare between the A10 and RTX 2080?▾

The A10 reaches 125 TFLOPS dense FP16 while the RTX 2080 reaches 40.3 TFLOPS dense FP16. Sparsity on the A10 adds a separate 250 TFLOPS figure that does not apply to the RTX 2080.

Which GPU has higher memory bandwidth?▾

The A10 provides 600 GB/s memory bandwidth compared to 448 GB/s on the RTX 2080.

How do the power requirements differ?▾

TDP measures 150W on the A10 and 215W on the RTX 2080.

What interconnect options exist for each card?▾

The A10 uses PCIe 4.0 while the RTX 2080 supports NVLink and PCIe 3.0.

Which GPU offers higher INT8 performance?▾

The A10 reaches 250 TOPS dense INT8 compared to 161.1 TOPS dense INT8 on the RTX 2080.

Which is cheaper to rent, the A10 or the RTX 2080?▾

Cloud rental prices for both the A10 and RTX 2080 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 A10 have compared to the RTX 2080?▾

The A10 has 24 GB of GDDR6 memory. The RTX 2080 has 8 to 11 GB of GDDR6 memory.

Can I find A10 and RTX 2080 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 A10 and the RTX 2080?▾

The A10 uses the Ampere architecture (2021) while the RTX 2080 uses Turing (2018). The A10 delivers 3.1x the dense FP16 throughput (125 vs 40.3 TFLOPS, both without sparsity) and 1.3x the memory bandwidth of the RTX 2080.

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 A10 and the RTX 2080. 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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