GPU comparison

A10 vs Quadro RTX 8000

Specifications and current cloud pricing, side by side.

AmperevsTuringUpdated 32 days ago

For the most common use case of LLM inference the A10 is the better choice. Its 31.2 TFLOPS FP32 and 150W TDP deliver higher efficiency while 125 TFLOPS dense FP16 remains close to the 130.5 TFLOPS dense FP16 of the Quadro RTX 8000. The lower power draw reduces operating cost in long-running inference deployments.

A10 listed from $0.37/GPU/hr

Right now, from live stock

Specifications Compared

SpecA10Quadro RTX 8000
TDP150W260W
VRAM24 GB48 GB
CUDA Cores9,2164,608
Memory TypeGDDR6GDDR6
ArchitectureAmpereTuring
FP16 (dense)125 TFLOPS130.5 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)250 TOPSNot published
InterconnectPCIe 4.0NVLink, PCIe 3.0
Tensor Cores288576
FP32 Performance31.2 TFLOPS16.3 TFLOPS
Memory Bandwidth600 GB/s672 GB/s
FP16 (with sparsity)250 TFLOPSNot published
INT8 (with sparsity)500 TOPSNot published

Performance Analysis

The FP16 dense figure of 125 TFLOPS on the A10 sits slightly below the 130.5 TFLOPS dense FP16 on the Quadro RTX 8000. This small gap means inference workloads that stay within FP16 dense precision see comparable throughput between the two. The A10 FP32 number of 31.2 TFLOPS exceeds the 16.3 TFLOPS on the Quadro RTX 8000 by a factor of nearly two. Training steps that rely on FP32 therefore complete faster on the A10. Memory bandwidth of 600 GB/s on the A10 versus 672 GB/s on the Quadro RTX 8000 affects maximum batch size in memory-bound operations. The 48 GB VRAM on the Quadro RTX 8000 allows larger batches than the 24 GB on the A10 when model size exceeds 24 GB. Sparse FP16 on the A10 reaches 250 TFLOPS while the Quadro RTX 8000 lists no sparse FP16 figure.

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

Quadro RTX 8000

Quadro RTX 8000 is not offered on-demand by any provider we track right now. See the Quadro RTX 8000 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 prioritize FP32 throughput and power efficiency. Its 31.2 TFLOPS FP32 and 150W TDP make it preferable for sustained scientific computing tasks that run continuously. The A10 also fits inference pipelines that stay under 24 GB VRAM and benefit from PCIe 4.0 interconnect.

When to Choose the Quadro RTX 8000

The Quadro RTX 8000 fits scenarios that require 48 GB VRAM for large models. Its 672 GB/s bandwidth supports bigger batch sizes during fine-tuning when memory capacity becomes the limit. NVLink support on the Quadro RTX 8000 enables multi-GPU scaling for training jobs that exceed single-card memory.

Use Cases

LLM Training
Quadro RTX 8000

The Quadro RTX 8000 supplies 48 GB VRAM which accommodates larger models during training compared to the 24 GB on the A10.

LLM Inference
A10

The A10 provides 31.2 TFLOPS FP32 and 150W TDP which improve efficiency for inference workloads that fit within 24 GB.

Fine-tuning
Quadro RTX 8000

The Quadro RTX 8000 48 GB VRAM and 672 GB/s bandwidth allow larger batch sizes than the A10 during fine-tuning.

Stable Diffusion
Either

Both GPUs deliver dense FP16 performance above 125 TFLOPS and support PCIe form factors for image generation tasks.

Scientific Computing
A10

The A10 31.2 TFLOPS FP32 exceeds the 16.3 TFLOPS FP32 on the Quadro RTX 8000 while drawing only 150W.

Frequently Asked Questions

What is the FP32 performance difference between A10 and Quadro RTX 8000?▾

The A10 lists 31.2 TFLOPS FP32 while the Quadro RTX 8000 lists 16.3 TFLOPS FP32. This difference favors the A10 for workloads that depend on single-precision arithmetic.

Which GPU has lower power consumption?▾

The A10 operates at 150W TDP while the Quadro RTX 8000 operates at 260W TDP. Lower TDP on the A10 reduces cooling and power infrastructure requirements.

Does the Quadro RTX 8000 support NVLink?▾

The Quadro RTX 8000 includes NVLink interconnect in addition to PCIe 3.0. The A10 uses only PCIe 4.0 without NVLink.

What is the memory bandwidth of each card?▾

The A10 reaches 600 GB/s while the Quadro RTX 8000 reaches 672 GB/s. Higher bandwidth on the Quadro RTX 8000 can improve data movement in bandwidth-limited kernels.

Are INT8 figures published for the Quadro RTX 8000?▾

No INT8 figures appear in the published specifications for the Quadro RTX 8000. The A10 lists 250 TOPS dense INT8 and 500 TOPS with sparsity.

Which is cheaper to rent, the A10 or the Quadro RTX 8000?▾

Cloud rental prices for both the A10 and Quadro RTX 8000 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 Quadro RTX 8000?▾

The A10 has 24 GB of GDDR6 memory. The Quadro RTX 8000 has 48 GB of GDDR6 memory.

Can I find A10 and Quadro RTX 8000 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 Quadro RTX 8000?▾

The A10 uses the Ampere architecture (2021) while the Quadro RTX 8000 uses Turing (2018). Both deliver the same dense FP16 throughput (130.5 TFLOPS without sparsity), and the Quadro RTX 8000 has 1.1x the memory bandwidth of the A10.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the A10 and the Quadro RTX 8000. 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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