GPU comparison

A10 vs RTX 6000 Ada

Specifications and current cloud pricing, side by side.

AmperevsAda LovelaceUpdated 32 days ago

The RTX 6000 Ada wins for the most common use case of LLM inference because its 48 GB GDDR6 memory and 364 TFLOPS dense FP16 exceed the A10 24 GB and 125 TFLOPS dense FP16 values while maintaining the same PCIe interconnect.

A10 from $0.37/GPU/hrRTX 6000 Ada from $0.78/GPU/hr

Right now, from live stock

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

    Deploy
  • Most providers in stock: RTX 6000 Ada (5)

    See all offers
  • Best $ per TFLOPS FP16 dense right now: RTX 6000 Ada ($0.0021 per TFLOPS-hour at 364 TFLOPS)

    Deploy

Specifications Compared

SpecA10RTX 6000 Ada
TDP150W300W
VRAM24 GB48 GB
CUDA Cores9,21618,176
FP8 (dense)Not published728.5 TFLOPS
Memory TypeGDDR6GDDR6
ArchitectureAmpereAda Lovelace
FP16 (dense)125 TFLOPS364 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)250 TOPS728.5 TOPS
InterconnectPCIe 4.0PCIe 4.0
Tensor Cores288568
FP32 Performance31.2 TFLOPS91.1 TFLOPS
Memory Bandwidth600 GB/s960 GB/s
FP8 (with sparsity)Not published1,457 TFLOPS
FP16 (with sparsity)250 TFLOPS728 TFLOPS
INT8 (with sparsity)500 TOPS1,457 TOPS

Performance Analysis

The RTX 6000 Ada records 364 TFLOPS dense FP16 compared with the A10 125 TFLOPS dense FP16 while the RTX 6000 Ada also records 728 TFLOPS FP16 with sparsity compared with the A10 250 TFLOPS FP16 with sparsity. This dense FP16 difference implies the RTX 6000 Ada can complete matrix operations in training and inference workloads at a higher rate than the A10. Memory bandwidth of 960 GB/s on the RTX 6000 Ada versus 600 GB/s on the A10 supports larger batch sizes during model execution because data movement between memory and compute units occurs at the higher rate.

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

RTX 6000 Ada

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
QuantaCloudus-midwest-14$0.78$3.11Deploy
Massed Computeus-central-22$0.79$1.58Deploy
LeaderGPUThe Netherlands8$0.91$7.29Deploy
RunPodglobal1$0.99—Deploy
VERDAFIN-HEL1$1.34—Deploy

5 providers in stock, 16 offers (cheapest per provider shown). All RTX 6000 Ada 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 deployments where TDP must remain at 150 W rather than 300 W. Its 24 GB GDDR6 capacity combined with 125 TFLOPS dense FP16 meets requirements for smaller inference tasks that do not require the 48 GB capacity of the RTX 6000 Ada.

When to Choose the RTX 6000 Ada

Its 960 GB/s memory bandwidth and 91.1 TFLOPS FP32 enable handling of larger models than the A10 24 GB and 31.2 TFLOPS FP32 configuration allows.

Use Cases

LLM Training
RTX 6000 Ada

The RTX 6000 Ada supplies 48 GB GDDR6 and 364 TFLOPS dense FP16 which exceed the A10 24 GB and 125 TFLOPS dense FP16.

LLM Inference
RTX 6000 Ada

The RTX 6000 Ada supplies 960 GB/s bandwidth and 728 TFLOPS FP16 with sparsity which exceed the A10 600 GB/s and 250 TFLOPS FP16 with sparsity.

Fine-tuning
RTX 6000 Ada

The RTX 6000 Ada supplies 48 GB GDDR6 which exceeds the A10 24 GB and supports larger parameter updates during fine-tuning.

Stable Diffusion
Either

Both GPUs support the required operations yet the A10 150 W TDP offers lower power draw while the RTX 6000 Ada 48 GB capacity offers headroom for higher resolutions.

Scientific Computing
RTX 6000 Ada

The RTX 6000 Ada supplies 91.1 TFLOPS FP32 which exceeds the A10 31.2 TFLOPS FP32 for double precision workloads.

Frequently Asked Questions

What are the FP32 ratings for these GPUs?▾

The A10 lists 31.2 TFLOPS FP32 and the RTX 6000 Ada lists 91.1 TFLOPS FP32.

Which GPU has higher memory bandwidth?▾

The RTX 6000 Ada lists 960 GB/s memory bandwidth while the A10 lists 600 GB/s memory bandwidth.

How do the dense FP16 figures compare?▾

The RTX 6000 Ada lists 364 TFLOPS dense FP16 while the A10 lists 125 TFLOPS dense FP16.

What TDP values are specified?▾

The A10 specifies 150 W TDP and the RTX 6000 Ada specifies 300 W TDP.

Do both GPUs use the same interconnect?▾

Both the A10 and the RTX 6000 Ada use PCIe 4.0 interconnect.

Which is cheaper to rent, the A10 or the RTX 6000 Ada?▾

Cloud rental prices for both the A10 and RTX 6000 Ada 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 6000 Ada?▾

The A10 has 24 GB of GDDR6 memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.

Can I find A10 and RTX 6000 Ada 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 6000 Ada?▾

The A10 uses the Ampere architecture (2021) while the RTX 6000 Ada uses Ada Lovelace (2022). The RTX 6000 Ada delivers 2.9x the dense FP16 throughput (364 vs 125 TFLOPS, both without sparsity) and 1.6x the memory bandwidth of the A10.

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 RTX 6000 Ada. 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