GPU comparison

A10 vs RTX 2000 Ada

Specifications and current cloud pricing, side by side.

AmperevsAda LovelaceUpdated 31 days ago

The A10 emerges as the stronger selection for the most common use case of LLM inference. Its 24 GB memory capacity and 600 GB/s bandwidth exceed the corresponding 16 GB and 224 GB/s values on the RTX 2000 Ada while delivering 31.2 TFLOPS FP32 performance.

A10 from $0.37/GPU/hrRTX 2000 Ada from $0.24/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX 2000 Ada at $0.24/hr on RunPod

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  • Most providers in stock: A10 (2)

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Specifications Compared

SpecA10RTX 2000 Ada
TDP150W70W
VRAM24 GB16 GB
CUDA Cores9,2162,816
Memory TypeGDDR6GDDR6
ArchitectureAmpereAda Lovelace
FP16 (dense)125 TFLOPSNot published
Form FactorsPCIePCIe
INT8 (dense)250 TOPSNot published
InterconnectPCIe 4.0PCIe 4.0
Tensor Cores28888
FP32 Performance31.2 TFLOPS12 TFLOPS
Memory Bandwidth600 GB/s224 GB/s
FP8 (with sparsity)Not published191.9 TFLOPS
FP16 (with sparsity)250 TFLOPSNot published
INT8 (with sparsity)500 TOPSNot published

Performance Analysis

The A10 supplies FP16 dense performance at 125 TFLOPS that has no direct counterpart published for the RTX 2000 Ada. FP32 figures of 31.2 TFLOPS on the A10 versus 12 TFLOPS on the RTX 2000 Ada indicate greater throughput for precision sensitive operations on the A10. Memory bandwidth of 600 GB/s on the A10 compared to 224 GB/s on the RTX 2000 Ada supports larger batch sizes during data movement intensive phases. The A10 also lists INT8 dense at 250 TOPS and INT8 with sparsity at 500 TOPS while the RTX 2000 Ada provides FP8 with sparsity at 191.9 TFLOPS. These metrics translate to advantages for the A10 in sustained compute loads where higher memory capacity prevents frequent data transfers.

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 2000 Ada

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
RunPodglobal1$0.24—Deploy

1 provider in stock, 1 offer. All RTX 2000 Ada offers, price history and alerts

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When to Choose the A10

The A10 suits workloads that demand 24 GB of GDDR6 memory to accommodate larger datasets or models. Its 600 GB/s bandwidth and 31.2 TFLOPS FP32 rating enable handling of memory intensive operations without immediate capacity constraints. Scenarios involving extended training sessions or batch processing benefit from these attributes over alternatives with lower specifications.

When to Choose the RTX 2000 Ada

The RTX 2000 Ada fits environments where 70W TDP reduces overall power requirements compared to 150W. Its 16 GB GDDR6 memory and PCIe 4.0 interconnect support lighter inference tasks or compact deployments. Applications that prioritize lower energy use align with these characteristics.

Use Cases

LLM Training
A10

The A10 supplies 24 GB GDDR6 memory that exceeds the 16 GB on the RTX 2000 Ada and enables processing of larger model configurations.

LLM Inference
A10

The A10 provides 600 GB/s memory bandwidth and 125 TFLOPS FP16 dense performance that support higher throughput than the RTX 2000 Ada specifications allow.

Fine-tuning
A10

The A10 features 31.2 TFLOPS FP32 and 24 GB memory that accommodate fine-tuning operations requiring substantial capacity.

Stable Diffusion
RTX 2000 Ada

The RTX 2000 Ada operates at 70W TDP which suits sustained image generation tasks with lower power draw than the 150W of the A10.

Scientific Computing
A10

The A10 delivers 31.2 TFLOPS FP32 performance that surpasses the 12 TFLOPS rating of the RTX 2000 Ada for compute heavy calculations.

Frequently Asked Questions

What is the memory bandwidth of the RTX 2000 Ada?▾

The RTX 2000 Ada provides 224 GB/s memory bandwidth. The A10 reaches 600 GB/s memory bandwidth.

What FP32 performance does the A10 achieve?▾

The A10 achieves 31.2 TFLOPS FP32. The RTX 2000 Ada achieves 12 TFLOPS FP32.

What is the TDP of each GPU?▾

The A10 has a TDP of 150W. The RTX 2000 Ada has a TDP of 70W.

Does the A10 support sparse operations?▾

The A10 lists FP16 with sparsity at 250 TFLOPS and INT8 with sparsity at 500 TOPS. The RTX 2000 Ada lists FP8 with sparsity at 191.9 TFLOPS.

Which architecture does each GPU use?▾

The A10 uses the Ampere architecture. The RTX 2000 Ada uses the Ada Lovelace architecture.

Which is cheaper to rent, the A10 or the RTX 2000 Ada?▾

Cloud rental prices for both the A10 and RTX 2000 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 2000 Ada?▾

The A10 has 24 GB of GDDR6 memory. The RTX 2000 Ada has 16 GB of GDDR6 memory.

Can I find A10 and RTX 2000 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 2000 Ada?▾

The A10 uses the Ampere architecture (2021) while the RTX 2000 Ada uses Ada Lovelace (2024). The A10 has 24 GB of GDDR6 at 600 GB/s; the RTX 2000 Ada has 16 GB of GDDR6 at 224 GB/s, so the A10 has 2.7x the memory bandwidth of the RTX 2000 Ada.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the A10 and the RTX 2000 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.

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