GPU comparison

RTX A2000 vs RTX PRO 6000

Specifications and current cloud pricing, side by side.

AmperevsBlackwellUpdated 34 days ago

The RTX PRO 6000 wins for the most common use case of LLM inference because its 96 GB VRAM and 1007.6 TFLOPS FP16 with sparsity accommodate models that cannot fit within the 12 GB limit of the RTX A2000.

RTX A2000 listed from $0.50/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

SpecRTX A2000RTX PRO 6000
TDP70W600W
VRAM6-12 GB96 GB
CUDA Cores3,32824,064
FP4 (dense)Not published2,015.2 TFLOPS
FP8 (dense)Not published1,007.6 TFLOPS
Memory TypeGDDR6GDDR7
ArchitectureAmpereBlackwell
FP16 (dense)Not published503.8 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)Not published1,007.6 TOPS
InterconnectPCIe 4.0PCIe 5.0
Tensor Cores104752
FP32 Performance8 TFLOPS126 TFLOPS
Memory Bandwidth288 GB/s1,792 GB/s
FP4 (with sparsity)Not published4,030.4 TFLOPS
FP8 (with sparsity)Not published2,015.2 TFLOPS
FP16 (with sparsity)63.9 TFLOPS1,007.6 TFLOPS
INT8 (with sparsity)Not published2,015.2 TOPS

Performance Analysis

FP16 performance with sparsity reaches 63.9 TFLOPS on the RTX A2000 and 1007.6 TFLOPS on the RTX PRO 6000. FP32 throughput stands at 8 TFLOPS versus 126 TFLOPS. The eightfold ratio between FP16 with sparsity and FP32 remains consistent across both GPUs and indicates similar acceleration potential for mixed precision training or inference steps. Memory bandwidth of 288 GB per second on the RTX A2000 versus 1792 GB per second on the RTX PRO 6000 limits maximum batch sizes for large tensors on the former while enabling substantially larger batches on the latter. Dense FP16 on the RTX PRO 6000 measures 503.8 TFLOPS and provides an additional reference point when sparsity cannot be applied.

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.

RTX A2000

RTX A2000 is not offered on-demand by any provider we track right now. See the RTX A2000 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
QuantaCloudus-east-44$2.17$8.66Deploy
Massed Computeus-central-91$2.19—Deploy
VERDAFIN-HEL8$2.40$19.16Deploy

6 providers in stock, 23 offers (cheapest per provider shown). All RTX PRO 6000 offers, price history and alerts

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When to Choose the RTX A2000

The RTX A2000 suits environments constrained by 70 W TDP and requiring only 6 to 12 GB VRAM. Compact workstations running modest inference or fine tuning tasks benefit from its PCIe 4.0 interface and lower power draw without exceeding thermal limits of small chassis.

When to Choose the RTX PRO 6000

The RTX PRO 6000 fits workloads that demand 96 GB VRAM and 1792 GB per second bandwidth. Large scale inference or training sessions that exceed 12 GB model footprints gain from its 126 TFLOPS FP32 rating and PCIe 5.0 interconnect.

Use Cases

LLM Training
RTX PRO 6000

The RTX PRO 6000 supplies 96 GB VRAM and 126 TFLOPS FP32 that exceed the 12 GB and 8 TFLOPS limits of the RTX A2000.

LLM Inference
RTX PRO 6000

96 GB GDDR7 memory and 1792 GB per second bandwidth support larger batch sizes than the 288 GB per second and 12 GB maximum of the RTX A2000.

Fine-tuning
RTX PRO 6000

FP16 with sparsity at 1007.6 TFLOPS on the RTX PRO 6000 accelerates adaptation steps beyond the 63.9 TFLOPS available on the RTX A2000.

Stable Diffusion
Either

Both GPUs handle image generation yet the RTX A2000 fits only when model size stays under 12 GB while the RTX PRO 6000 handles larger variants.

Scientific Computing
RTX PRO 6000

126 TFLOPS FP32 and 600 W TDP on the RTX PRO 6000 enable sustained high precision calculations that surpass the 8 TFLOPS and 70 W envelope of the RTX A2000.

Frequently Asked Questions

What FP32 performance is listed for these GPUs?▾

FP32 throughput measures 8 TFLOPS on the RTX A2000 and 126 TFLOPS on the RTX PRO 6000.

Which GPU offers higher memory bandwidth?▾

The RTX PRO 6000 reaches 1792 GB per second compared with 288 GB per second on the RTX A2000.

What are the TDP ratings?▾

Power consumption is rated at 70 W for the RTX A2000 and 600 W for the RTX PRO 6000.

Do both GPUs support sparsity in FP16?▾

The RTX A2000 lists FP16 with sparsity at 63.9 TFLOPS and the RTX PRO 6000 lists FP16 with sparsity at 1007.6 TFLOPS.

Which is cheaper to rent, the RTX A2000 or the RTX PRO 6000?▾

Cloud rental prices for both the RTX A2000 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 RTX A2000 have compared to the RTX PRO 6000?▾

The RTX A2000 has 6 to 12 GB of GDDR6 memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.

Can I find RTX A2000 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 RTX A2000 and the RTX PRO 6000?▾

The RTX A2000 uses the Ampere architecture (2021) while the RTX PRO 6000 uses Blackwell (2025). The RTX A2000 has 6-12 GB of GDDR6 at 288 GB/s; the RTX PRO 6000 has 96 GB of GDDR7 at 1,792 GB/s, so the RTX PRO 6000 has 6.2x the memory bandwidth of the RTX A2000.

Rent these GPUs

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Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the RTX A2000 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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