GPU comparison

A30 vs RTX PRO 6000

Specifications and current cloud pricing, side by side.

AmperevsBlackwellUpdated 33 days ago

The RTX PRO 6000 wins for the most common use case of LLM inference because its 96 GB memory and 503.8 TFLOPS dense FP16 exceed the A30 by factors of four and three respectively while maintaining comparable interconnect options.

A30 listed from $0.35/GPU/hrRTX PRO 6000 listed from $0.69/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX PRO 6000 at $0.69/hr on RunPod

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  • Most providers in stock: RTX PRO 6000 (6)

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Specifications Compared

SpecA30RTX PRO 6000
TDP165W600W
VRAM24 GB96 GB
CUDA Cores3,58424,064
FP4 (dense)Not published2,015.2 TFLOPS
FP8 (dense)Not published1,007.6 TFLOPS
Memory TypeHBM2GDDR7
ArchitectureAmpereBlackwell
FP16 (dense)165 TFLOPS503.8 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)330 TOPS1,007.6 TOPS
InterconnectNVLink, PCIe 4.0PCIe 5.0
Tensor Cores224752
FP32 Performance10.3 TFLOPS126 TFLOPS
FP64 Performance5.2 TFLOPSNot published
Memory Bandwidth933 GB/s1,792 GB/s
FP4 (with sparsity)Not published4,030.4 TFLOPS
FP8 (with sparsity)Not published2,015.2 TFLOPS
FP16 (with sparsity)330 TFLOPS1,007.6 TFLOPS
INT8 (with sparsity)661 TOPS2,015.2 TOPS

Performance Analysis

Dense FP16 throughput on the RTX PRO 6000 reaches 503.8 TFLOPS compared with 165 TFLOPS on the A30 yielding a ratio of approximately three times. The same ratio holds for dense INT8 at 1007.6 TOPS versus 330 TOPS. FP32 figures show the RTX PRO 6000 at 126 TFLOPS against 10.3 TFLOPS on the A30. Memory bandwidth of 1792 GB/s on the RTX PRO 6000 versus 933 GB/s on the A30 supports larger batch sizes during inference or training steps. Sparse FP16 performance scales similarly with 1007.6 TFLOPS on the RTX PRO 6000 against 330 TFLOPS on the A30. These differences translate to shorter iteration times on the RTX PRO 6000 when dense or sparse modes match the workload.

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 PRO 6000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
RunPodglobal1$0.69—Deploy
Vast.aiCzechia, CZ2$1.47$2.93Deploy
Massed Computeus-central-94$2.19$8.76Deploy
VERDAFIN-HEL1$2.37—Deploy
QuantaCloudus-midwest-44$2.38$9.53Deploy

6 providers in stock, 25 offers (cheapest per provider shown). All RTX PRO 6000 offers, price history and alerts

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When to Choose the A30

The A30 suits environments constrained to 165W TDP where 24 GB HBM2 meets model size requirements. Its NVLink interconnect supports multi GPU scaling in legacy systems that lack PCIe 5.0. Workloads limited to FP32 at 10.3 TFLOPS or INT8 dense at 330 TOPS avoid excess power draw.

When to Choose the RTX PRO 6000

The RTX PRO 6000 fits tasks that require 96 GB GDDR7 and dense FP16 at 503.8 TFLOPS for larger batch processing. PCIe 5.0 interconnect and 1792 GB/s bandwidth accelerate data movement in single node setups. FP32 at 126 TFLOPS and FP8 dense at 1007.6 TFLOPS benefit compute heavy inference pipelines.

Use Cases

LLM Training
RTX PRO 6000

The RTX PRO 6000 supplies 96 GB memory and 503.8 TFLOPS dense FP16 for larger models.

LLM Inference
RTX PRO 6000

Dense FP16 at 503.8 TFLOPS and 1792 GB/s bandwidth on the RTX PRO 6000 support higher throughput.

Fine-tuning
RTX PRO 6000

96 GB GDDR7 and 126 TFLOPS FP32 on the RTX PRO 6000 accommodate gradient computations.

Stable Diffusion
RTX PRO 6000

The RTX PRO 6000 provides 1007.6 TFLOPS dense FP8 and 1792 GB/s bandwidth for image generation.

Scientific Computing
A30

The A30 delivers 10.3 TFLOPS FP32 at 165W TDP for power limited clusters.

Frequently Asked Questions

What is the FP16 dense performance difference?▾

The A30 reaches 165 TFLOPS dense FP16 and the RTX PRO 6000 reaches 503.8 TFLOPS dense FP16.

Which GPU has higher memory bandwidth?▾

The RTX PRO 6000 provides 1792 GB/s while the A30 provides 933 GB/s.

What are the TDP values?▾

The A30 lists 165W TDP and the RTX PRO 6000 lists 600W TDP.

Do both GPUs support NVLink?▾

The A30 includes NVLink while the RTX PRO 6000 uses PCIe 5.0 only.

How does FP32 compare?▾

The A30 delivers 10.3 TFLOPS FP32 and the RTX PRO 6000 delivers 126 TFLOPS FP32.

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

Cloud rental prices for both the A30 and RTX PRO 6000 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 PRO 6000?▾

The A30 has 24 GB of HBM2 memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.

Can I find A30 and RTX PRO 6000 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 PRO 6000?▾

The A30 uses the Ampere architecture (2021) while the RTX PRO 6000 uses Blackwell (2025). The RTX PRO 6000 delivers 3.1x the dense FP16 throughput (503.8 vs 165 TFLOPS, both without sparsity) and 1.9x the memory bandwidth of the A30.

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 A30 and the RTX PRO 6000. 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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