GPU comparison

A30 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 memory capacity and 364 TFLOPS FP16 dense rating exceed the A30 specifications by clear margins while the modest bandwidth difference remains secondary.

A30 listed from $0.35/GPU/hrRTX 6000 Ada listed from $0.79/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX 6000 Ada at $0.79/hr on Massed Compute

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  • Most providers in stock: RTX 6000 Ada (4)

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Specifications Compared

SpecA30RTX 6000 Ada
TDP165W300W
VRAM24 GB48 GB
CUDA Cores3,58418,176
FP8 (dense)Not published728.5 TFLOPS
Memory TypeHBM2GDDR6
ArchitectureAmpereAda Lovelace
FP16 (dense)165 TFLOPS364 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)330 TOPS728.5 TOPS
InterconnectNVLink, PCIe 4.0PCIe 4.0
Tensor Cores224568
FP32 Performance10.3 TFLOPS91.1 TFLOPS
FP64 Performance5.2 TFLOPSNot published
Memory Bandwidth933 GB/s960 GB/s
FP8 (with sparsity)Not published1,457 TFLOPS
FP16 (with sparsity)330 TFLOPS728 TFLOPS
INT8 (with sparsity)661 TOPS1,457 TOPS

Performance Analysis

The FP16 dense rating of 165 TFLOPS on the A30 versus 364 TFLOPS on the RTX 6000 Ada indicates that the RTX 6000 Ada can sustain more than twice the throughput for mixed precision workloads that rely on dense tensor operations. The FP16 rating with sparsity of 330 TFLOPS on the A30 versus 728 TFLOPS on the RTX 6000 Ada shows the same 2.2 times advantage when sparsity is enabled. Memory bandwidth of 933 GB/s on the A30 versus 960 GB/s on the RTX 6000 Ada implies that the RTX 6000 Ada supports modestly larger batch sizes before memory becomes the limiter while the FP32 rating of 10.3 TFLOPS on the A30 versus 91.1 TFLOPS on the RTX 6000 Ada shows an 8.8 times gap in single precision workloads.

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.

A30

A30 is not offered on-demand by any provider we track right now. See the A30 rental page for last-seen listed prices and a price alert.

RTX 6000 Ada

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Massed Computeus-central-21$0.79—Deploy
QuantaCloudus-midwest-21$0.79—Deploy
LeaderGPUThe Netherlands8$0.91$7.29Deploy
VERDAFIN-HEL1$1.35—Deploy

4 providers in stock, 7 offers (cheapest per provider shown). All RTX 6000 Ada offers, price history and alerts

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When to Choose the A30

The A30 suits deployments where power draw must remain at 165 W and where NVLink interconnect is required for multi GPU scaling. Its 24 GB HBM2 capacity and 933 GB/s bandwidth still deliver adequate throughput for inference tasks that fit within those limits.

When to Choose the RTX 6000 Ada

Its higher TDP of 300 W is acceptable when the 364 TFLOPS FP16 dense rating accelerates training or inference beyond the A30 limits.

Use Cases

LLM Training
RTX 6000 Ada

The RTX 6000 Ada supplies 364 TFLOPS FP16 dense performance and 48 GB memory that exceed the A30 ratings.

LLM Inference
RTX 6000 Ada

The RTX 6000 Ada supplies 364 TFLOPS FP16 dense performance and 48 GB memory that exceed the A30 ratings.

Fine-tuning
RTX 6000 Ada

The RTX 6000 Ada supplies 364 TFLOPS FP16 dense performance and 48 GB memory that exceed the A30 ratings.

Stable Diffusion
RTX 6000 Ada

The RTX 6000 Ada supplies 364 TFLOPS FP16 dense performance and 48 GB memory that exceed the A30 ratings.

Scientific Computing
RTX 6000 Ada

The RTX 6000 Ada supplies 91.1 TFLOPS FP32 performance that exceeds the A30 rating of 10.3 TFLOPS.

Frequently Asked Questions

What is the FP16 dense performance difference between the A30 and RTX 6000 Ada?▾

The A30 lists 165 TFLOPS FP16 dense while the RTX 6000 Ada lists 364 TFLOPS FP16 dense. This produces a 2.2 times advantage for the RTX 6000 Ada in dense tensor workloads.

Which GPU offers NVLink support?▾

The A30 includes NVLink interconnect while the RTX 6000 Ada supports only PCIe 4.0. Multi GPU scaling that requires NVLink must therefore use the A30.

What are the TDP values for the A30 and RTX 6000 Ada?▾

The A30 has a TDP of 165 W while the RTX 6000 Ada has a TDP of 300 W. Power constrained environments therefore favor the A30.

How does FP32 performance compare between the two GPUs?▾

The A30 lists 10.3 TFLOPS FP32 while the RTX 6000 Ada lists 91.1 TFLOPS FP32. The RTX 6000 Ada therefore provides an 8.8 times higher rating for single precision workloads.

Which is cheaper to rent, the A30 or the RTX 6000 Ada?▾

Cloud rental prices for both the A30 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 A30 have compared to the RTX 6000 Ada?▾

The A30 has 24 GB of HBM2 memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.

Can I find A30 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 A30 and the RTX 6000 Ada?▾

The A30 uses the Ampere architecture (2021) while the RTX 6000 Ada uses Ada Lovelace (2022). The RTX 6000 Ada delivers 2.2x the dense FP16 throughput (364 vs 165 TFLOPS, both without sparsity) and the same memory bandwidth as the A30.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the A30 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.

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