GPU comparison

Quadro P6000 vs RTX 2000 Ada

Specifications and current cloud pricing, side by side.

PascalvsAda LovelaceUpdated 33 days ago

The RTX 2000 Ada wins for the most common inference use case because its 70W TDP and 191.9 TFLOPS FP8 with sparsity deliver better efficiency than the 250W TDP and 12.6 TFLOPS dense FP32 of the Quadro P6000.

Quadro P6000 from $1.10/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: Quadro P6000 and RTX 2000 Ada (1 each)

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Specifications Compared

SpecQuadro P6000RTX 2000 Ada
TDP250W70W
VRAM24 GB16 GB
CUDA Cores3,8402,816
Memory TypeGDDR5XGDDR6
ArchitecturePascalAda Lovelace
Form FactorsPCIePCIe
InterconnectPCIe 3.0PCIe 4.0
Tensor CoresNot published88
FP32 Performance12.6 TFLOPS12 TFLOPS
Memory Bandwidth432 GB/s224 GB/s
FP8 (with sparsity)Not published191.9 TFLOPS

Performance Analysis

The 12.6 TFLOPS dense FP32 rating of the Quadro P6000 exceeds the 12 TFLOPS dense FP32 rating of the RTX 2000 Ada by a small margin yet the absence of published FP16 figures for both cards limits direct low precision comparisons. The 191.9 TFLOPS FP8 figure with sparsity available on the RTX 2000 Ada enables accelerated sparse tensor operations unavailable on the Quadro P6000. Memory bandwidth of 432 GB/s on the Quadro P6000 supports larger batch sizes than the 224 GB/s bandwidth on the RTX 2000 Ada during memory bound workloads. The 24 GB capacity on the Quadro P6000 further accommodates models that exceed the 16 GB capacity of the RTX 2000 Ada.

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 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 Quadro P6000

The Quadro P6000 suits workloads that require 24 GB of memory and 432 GB/s bandwidth such as large scientific simulations or batch heavy training jobs. Its 12.6 TFLOPS dense FP32 rating supports consistent throughput when power limits allow the 250W TDP.

When to Choose the RTX 2000 Ada

The RTX 2000 Ada fits environments that prioritize 70W TDP and 191.9 TFLOPS FP8 with sparsity for efficient inference pipelines. Its PCIe 4.0 interconnect and Ada Lovelace architecture deliver modern compatibility where lower power draw matters.

Use Cases

LLM Training
Quadro P6000

The Quadro P6000 supplies 24 GB VRAM and 432 GB/s bandwidth that accommodate larger training batches than the 16 GB and 224 GB/s of the RTX 2000 Ada.

LLM Inference
RTX 2000 Ada

The RTX 2000 Ada offers 191.9 TFLOPS FP8 with sparsity and 70W TDP that improve efficiency over the 12.6 TFLOPS dense FP32 and 250W TDP of the Quadro P6000.

Fine-tuning
Quadro P6000

The Quadro P6000 provides 24 GB memory capacity that handles fine tuning of models exceeding 16 GB limits on the RTX 2000 Ada.

Stable Diffusion
RTX 2000 Ada

The RTX 2000 Ada delivers 191.9 TFLOPS FP8 with sparsity that accelerates diffusion workloads within its 70W power envelope.

Scientific Computing
Quadro P6000

The Quadro P6000 supplies 432 GB/s bandwidth and 24 GB capacity that support data intensive scientific simulations beyond the 224 GB/s and 16 GB of the RTX 2000 Ada.

Frequently Asked Questions

What are the power requirements?▾

The Quadro P6000 lists a 250W TDP. The RTX 2000 Ada lists a 70W TDP.

Which GPU offers higher FP32 performance?▾

The Quadro P6000 provides 12.6 TFLOPS dense FP32. The RTX 2000 Ada provides 12 TFLOPS dense FP32.

Does the RTX 2000 Ada support sparse operations?▾

The RTX 2000 Ada supports 191.9 TFLOPS FP8 with sparsity. The Quadro P6000 has no published sparse tensor figures.

What interconnect versions are used?▾

The Quadro P6000 uses PCIe 3.0. The RTX 2000 Ada uses PCIe 4.0.

Which card has greater memory bandwidth?▾

The Quadro P6000 reaches 432 GB/s bandwidth. The RTX 2000 Ada reaches 224 GB/s bandwidth.

Which is cheaper to rent, the Quadro P6000 or the RTX 2000 Ada?▾

Cloud rental prices for both the Quadro P6000 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 Quadro P6000 have compared to the RTX 2000 Ada?▾

The Quadro P6000 has 24 GB of GDDR5X memory. The RTX 2000 Ada has 16 GB of GDDR6 memory.

Can I find Quadro P6000 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 Quadro P6000 and the RTX 2000 Ada?▾

The Quadro P6000 uses the Pascal architecture (2016) while the RTX 2000 Ada uses Ada Lovelace (2024). The Quadro P6000 has 24 GB of GDDR5X at 432 GB/s; the RTX 2000 Ada has 16 GB of GDDR6 at 224 GB/s, so the Quadro P6000 has 1.9x the memory bandwidth of the RTX 2000 Ada.

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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 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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