GPU comparison

A10 vs Quadro RTX 4000

Specifications and current cloud pricing, side by side.

AmperevsTuringUpdated 33 days ago

The A10 wins for the most common use case of accelerated computing. Higher memory at 24 GB, bandwidth at 600 GB/s, and dense FP16 at 125 TFLOPS provide decisive advantages over the Quadro RTX 4000 specifications.

A10 from $0.37/GPU/hrQuadro RTX 4000 from $0.56/GPU/hr

Right now, from live stock

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

    Deploy
  • Most providers in stock: A10 (2)

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

    Deploy

Specifications Compared

SpecA10Quadro RTX 4000
TDP150W125W
VRAM24 GB8 GB
CUDA Cores9,2162,304
Memory TypeGDDR6GDDR6
ArchitectureAmpereTuring
FP16 (dense)125 TFLOPS57 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)250 TOPSNot published
InterconnectPCIe 4.0PCIe 3.0
Tensor Cores288288
FP32 Performance31.2 TFLOPS7.1 TFLOPS
Memory Bandwidth600 GB/s416 GB/s
FP16 (with sparsity)250 TFLOPSNot published
INT8 (with sparsity)500 TOPSNot published

Performance Analysis

Dense FP16 performance reaches 125 TFLOPS on the A10 compared with 57 TFLOPS dense FP16 on the Quadro RTX 4000. This gap allows the A10 to process larger models during inference while the Quadro RTX 4000 remains limited to smaller workloads. FP32 figures of 31.2 TFLOPS dense on the A10 versus 7.1 TFLOPS dense on the Quadro RTX 4000 indicate similar advantages in training scenarios that rely on single precision. Memory bandwidth of 600 GB/s on the A10 supports larger batch sizes than the 416 GB/s available on the Quadro RTX 4000. Sparse FP16 performance of 250 TFLOPS on the A10 further widens the margin over the dense only rating of the Quadro RTX 4000. INT8 dense performance of 250 TOPS on the A10 adds capability absent from published figures for the Quadro RTX 4000.

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-west-11$1.29—Deploy

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

Quadro RTX 4000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Paperspaceams11$0.56—Deploy

1 provider in stock, 5 offers (cheapest per provider shown). All Quadro RTX 4000 offers, price history and alerts

Which GPU to watchWatch the price of

Notify me when A10 drops below a price

One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold. Cheapest right now: $0.37/GPU-hr.

QuantaCloud

Comparing providers? We broker across all of them.

Stop tab-switching between pricing pages. Tell us what you need, 16+ GPUs reserved or cluster capacity, and we return one quote at partner rates within 24 hours.

No waitlist24hr quote turnaroundInfiniBand fabric

Compare real-time pricing across 25+ providers

When to Choose the A10

The A10 suits workloads that demand 24 GB memory and 125 TFLOPS dense FP16. Applications requiring 600 GB/s bandwidth benefit from the A10 over alternatives with lower capacity. PCIe 4.0 interconnect on the A10 supports higher throughput in compatible systems.

When to Choose the Quadro RTX 4000

The Quadro RTX 4000 fits environments constrained to 125W TDP and PCIe 3.0 interfaces. Tasks that operate within 8 GB memory and 57 TFLOPS dense FP16 align with this GPU. Older platforms that lack support for newer interconnect standards select the Quadro RTX 4000.

Use Cases

LLM Training
A10

The A10 supplies 24 GB memory and 125 TFLOPS dense FP16 that exceed the 8 GB and 57 TFLOPS dense FP16 of the Quadro RTX 4000.

LLM Inference
A10

The A10 delivers 600 GB/s bandwidth and 250 TOPS dense INT8 for larger batch handling compared with the Quadro RTX 4000.

Fine-tuning
A10

The A10 provides 31.2 TFLOPS FP32 and 24 GB capacity that support fine-tuning operations beyond the 7.1 TFLOPS and 8 GB of the Quadro RTX 4000.

Stable Diffusion
A10

The A10 offers 125 TFLOPS dense FP16 and 600 GB/s bandwidth that enable efficient image generation workloads.

Scientific Computing
Either

Both GPUs handle FP32 tasks though the A10 provides 31.2 TFLOPS while the Quadro RTX 4000 provides 7.1 TFLOPS.

Frequently Asked Questions

What FP16 performance do the A10 and Quadro RTX 4000 deliver?▾

The A10 achieves 125 TFLOPS dense FP16 and 250 TFLOPS with sparsity. The Quadro RTX 4000 achieves 57 TFLOPS dense FP16 with no sparsity figure published.

Which GPU offers higher memory bandwidth?▾

The A10 provides 600 GB/s bandwidth compared with 416 GB/s on the Quadro RTX 4000. Higher bandwidth supports faster data movement in compute tasks.

What are the TDP values for the A10 and Quadro RTX 4000?▾

The A10 lists 150W TDP while the Quadro RTX 4000 lists 125W TDP. Power requirements influence system design choices.

Do the GPUs share the same interconnect standard?▾

The A10 uses PCIe 4.0 while the Quadro RTX 4000 uses PCIe 3.0. The standards affect maximum data transfer rates between host and device.

Which is cheaper to rent, the A10 or the Quadro RTX 4000?▾

Cloud rental prices for both the A10 and Quadro RTX 4000 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 4000?▾

The A10 has 24 GB of GDDR6 memory. The Quadro RTX 4000 has 8 GB of GDDR6 memory.

Can I find A10 and Quadro RTX 4000 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 4000?▾

The A10 uses the Ampere architecture (2021) while the Quadro RTX 4000 uses Turing (2018). The A10 delivers 2.2x the dense FP16 throughput (125 vs 57 TFLOPS, both without sparsity) and 1.4x the memory bandwidth of the Quadro RTX 4000.

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 A10 and the Quadro RTX 4000. 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.

Next steps