GPU comparison

A10 vs Quadro RTX 5000

Specifications and current cloud pricing, side by side.

AmperevsTuringUpdated 33 days ago

The A10 wins for the most common use case of LLM inference because its 24 GB GDDR6 VRAM, 600 GB/s memory bandwidth, and 125 TFLOPS dense FP16 performance exceed the corresponding figures on the Quadro RTX 5000 while operating at a lower TDP of 150W.

A10 from $0.37/GPU/hrQuadro RTX 5000 from $0.82/GPU/hr

Right now, from live stock

  • Cheapest right now: A10 at $0.37/hr on LeaderGPU

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  • Most providers in stock: A10 (2)

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  • Best $ per TFLOPS FP16 dense right now: A10 ($0.0030 per TFLOPS-hour at 125 TFLOPS)

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Specifications Compared

SpecA10Quadro RTX 5000
TDP150W230W
VRAM24 GB16 GB
CUDA Cores9,2163,072
Memory TypeGDDR6GDDR6
ArchitectureAmpereTuring
FP16 (dense)125 TFLOPS89.2 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)250 TOPS178.4 TOPS
InterconnectPCIe 4.0NVLink, PCIe 3.0
Tensor Cores288384
FP32 Performance31.2 TFLOPS11.2 TFLOPS
Memory Bandwidth600 GB/s448 GB/s
FP16 (with sparsity)250 TFLOPSNot published
INT8 (with sparsity)500 TOPSNot published

Performance Analysis

The dense FP16 performance of the A10 reaches 125 TFLOPS compared with the dense FP16 performance of 89.2 TFLOPS on the Quadro RTX 5000. This difference means the A10 can process larger batch sizes during inference or training steps that rely on dense FP16 operations. Memory bandwidth of 600 GB/s on the A10 versus 448 GB/s on the Quadro RTX 5000 allows the A10 to sustain higher throughput when moving data between memory and compute units. The FP32 performance ratio shows the A10 at 31.2 TFLOPS against 11.2 TFLOPS on the Quadro RTX 5000 which favors the A10 for workloads that require full precision calculations.

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 5000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Paperspaceny21$0.82—Deploy

1 provider in stock, 2 offers (cheapest per provider shown). All Quadro RTX 5000 offers, price history and alerts

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When to Choose the A10

The A10 suits environments that require 24 GB GDDR6 VRAM and 600 GB/s memory bandwidth for handling large datasets. Its TDP of 150W also reduces power consumption relative to the 230W TDP of the Quadro RTX 5000. Users select the A10 when dense FP16 performance of 125 TFLOPS supports accelerated inference on models that fit within the higher memory capacity.

When to Choose the Quadro RTX 5000

The Quadro RTX 5000 fits scenarios that utilize its NVLink interconnect for multi GPU scaling. The Quadro RTX 5000 serves cases where 16 GB GDDR6 VRAM meets the workload size and the 89.2 TFLOPS dense FP16 rating provides adequate throughput.

Use Cases

LLM Training
A10

The A10 supplies 24 GB GDDR6 VRAM and 125 TFLOPS dense FP16 performance that exceed the 16 GB and 89.2 TFLOPS dense FP16 on the Quadro RTX 5000.

LLM Inference
A10

The A10 delivers 600 GB/s memory bandwidth and 125 TFLOPS dense FP16 performance that support larger batch sizes than the 448 GB/s and 89.2 TFLOPS dense FP16 on the Quadro RTX 5000.

Fine-tuning
A10

The A10 provides 31.2 TFLOPS FP32 and 24 GB GDDR6 VRAM which allow more model parameters to reside in memory compared with 11.2 TFLOPS FP32 and 16 GB on the Quadro RTX 5000.

Stable Diffusion
Either

Both GPUs offer sufficient VRAM for typical image generation workloads with the A10 at 24 GB and the Quadro RTX 5000 at 16 GB.

Scientific Computing
A10

The A10 supplies 31.2 TFLOPS FP32 and 150W TDP which improve efficiency over the 11.2 TFLOPS FP32 and 230W TDP of the Quadro RTX 5000.

Frequently Asked Questions

What is the memory bandwidth of each GPU?▾

The A10 reaches 600 GB/s memory bandwidth. The Quadro RTX 5000 reaches 448 GB/s memory bandwidth. Higher bandwidth on the A10 supports faster data movement during tensor operations.

Which GPU has higher dense FP16 performance?▾

The A10 achieves 125 TFLOPS dense FP16. The Quadro RTX 5000 achieves 89.2 TFLOPS dense FP16. The A10 therefore processes dense FP16 workloads at a higher rate.

What are the TDP values for the A10 and Quadro RTX 5000?▾

The A10 has a TDP of 150W. The Quadro RTX 5000 has a TDP of 230W. Lower power draw on the A10 reduces cooling and electricity requirements in dense deployments.

Does the Quadro RTX 5000 support NVLink?▾

The Quadro RTX 5000 includes NVLink interconnect. The A10 uses only PCIe 4.0 interconnect. NVLink enables direct GPU to GPU communication on the Quadro RTX 5000.

Which is cheaper to rent, the A10 or the Quadro RTX 5000?▾

Cloud rental prices for both the A10 and Quadro RTX 5000 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 5000?▾

The A10 has 24 GB of GDDR6 memory. The Quadro RTX 5000 has 16 GB of GDDR6 memory.

Can I find A10 and Quadro RTX 5000 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 5000?▾

The A10 uses the Ampere architecture (2021) while the Quadro RTX 5000 uses Turing (2018). The A10 delivers 1.4x the dense FP16 throughput (125 vs 89.2 TFLOPS, both without sparsity) and 1.3x the memory bandwidth of the Quadro RTX 5000.

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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 5000. 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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