GPU comparison

Quadro P6000 vs RTX A6000

Specifications and current cloud pricing, side by side.

PascalvsAmpereUpdated 33 days ago

The RTX A6000 provides the stronger choice for the most common use case of accelerated computing. It supplies 38.7 TFLOPS FP32 and 48 GB memory against 12.6 TFLOPS FP32 and 24 GB memory on the Quadro P6000 while adding dense FP16 figures absent from the older GPU.

Quadro P6000 from $1.10/GPU/hrRTX A6000 from $0.44/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX A6000 at $0.44/hr on LeaderGPU

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  • Most providers in stock: RTX A6000 (6)

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Specifications Compared

SpecQuadro P6000RTX A6000
TDP250W300W
VRAM24 GB48 GB
CUDA Cores3,84010,752
Memory TypeGDDR5XGDDR6
ArchitecturePascalAmpere
FP16 (dense)Not published154.8 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)Not published309.7 TOPS
InterconnectPCIe 3.0NVLink, PCIe 4.0
Tensor CoresNot published336
FP32 Performance12.6 TFLOPS38.7 TFLOPS
Memory Bandwidth432 GB/s768 GB/s
FP16 (with sparsity)Not published309.6 TFLOPS
INT8 (with sparsity)Not published619.4 TOPS

Performance Analysis

FP32 throughput reaches 38.7 TFLOPS on the RTX A6000 compared with 12.6 TFLOPS on the Quadro P6000 yielding a three times advantage for the newer GPU in dense operations. This gap translates to faster execution of compute heavy tasks and support for larger data sets under the same precision. The RTX A6000 also lists 154.8 TFLOPS dense FP16 with no corresponding dense FP16 figure published for the Quadro P6000. Memory bandwidth of 768 GB per second on the RTX A6000 versus 432 GB per second on the Quadro P6000 permits larger batch sizes before memory capacity limits are reached. When sparsity applies the RTX A6000 reaches 309.6 TFLOPS FP16 with sparsity against no published sparse FP16 value for the Quadro P6000. INT8 dense performance stands at 309.7 TOPS on the RTX A6000 while the Quadro P6000 lists no INT8 figure.

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.

Quadro P6000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Paperspaceams11$1.10—Deploy

1 provider in stock, 6 offers (cheapest per provider shown). All Quadro P6000 offers, price history and alerts

RTX A6000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
LeaderGPUThe Netherlands8$0.44$3.54Deploy
QuantaCloudus-midwest-32$0.48$0.96Deploy
HyperstackCANADA-11$0.50—Deploy
Massed Computeus-central-21$0.55—Deploy
RunPodglobal1$0.59—Deploy

6 providers in stock, 47 offers (cheapest per provider shown). All RTX A6000 offers, price history and alerts

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When to Choose the Quadro P6000

The Quadro P6000 fits installations limited to 250 W TDP and PCIe 3.0 interconnects. Its 24 GB memory and 12.6 TFLOPS FP32 suffice for established workloads that do not require higher throughput or additional VRAM capacity.

When to Choose the RTX A6000

Its NVLink option further supports multi GPU scaling beyond the capabilities listed for the Quadro P6000.

Use Cases

LLM Training
RTX A6000

The RTX A6000 supplies 48 GB memory and 38.7 TFLOPS FP32 compared with 24 GB and 12.6 TFLOPS on the Quadro P6000.

LLM Inference
RTX A6000

The RTX A6000 lists 154.8 TFLOPS dense FP16 and 48 GB memory which exceed published figures for the Quadro P6000.

Fine-tuning
RTX A6000

The RTX A6000 delivers 38.7 TFLOPS FP32 and 768 GB per second bandwidth against 12.6 TFLOPS FP32 and 432 GB per second on the Quadro P6000.

Stable Diffusion
RTX A6000

The RTX A6000 provides 48 GB memory allowing larger models than the 24 GB available on the Quadro P6000.

Scientific Computing
Either

The Quadro P6000 operates at 250 W TDP while the RTX A6000 reaches 38.7 TFLOPS FP32 so selection depends on power limits versus throughput needs.

Frequently Asked Questions

What FP32 performance is listed for each card?▾

The Quadro P6000 lists 12.6 TFLOPS FP32. The RTX A6000 lists 38.7 TFLOPS FP32.

Does the RTX A6000 publish FP16 figures?▾

The RTX A6000 lists 154.8 TFLOPS dense FP16 and 309.6 TFLOPS FP16 with sparsity. No FP16 figure appears for the Quadro P6000.

What TDP values apply to these GPUs?▾

The Quadro P6000 carries a 250 W TDP. The RTX A6000 carries a 300 W TDP.

Which interconnects are supported?▾

The Quadro P6000 uses PCIe 3.0. The RTX A6000 supports NVLink and PCIe 4.0.

How does memory bandwidth compare?▾

The Quadro P6000 reaches 432 GB per second. The RTX A6000 reaches 768 GB per second.

Which is cheaper to rent, the Quadro P6000 or the RTX A6000?▾

Cloud rental prices for both the Quadro P6000 and RTX A6000 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 Quadro P6000 have compared to the RTX A6000?▾

The Quadro P6000 has 24 GB of GDDR5X memory. The RTX A6000 has 48 GB of GDDR6 memory.

Can I find Quadro P6000 and RTX A6000 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 Quadro P6000 and the RTX A6000?▾

The Quadro P6000 uses the Pascal architecture (2016) while the RTX A6000 uses Ampere (2020). The Quadro P6000 has 24 GB of GDDR5X at 432 GB/s; the RTX A6000 has 48 GB of GDDR6 at 768 GB/s, so the RTX A6000 has 1.8x the memory bandwidth of the Quadro P6000.

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 Quadro P6000 and the RTX A6000. 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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