GPU comparison

Quadro P6000 vs RTX 5090

Specifications and current cloud pricing, side by side.

PascalvsBlackwellUpdated 34 days ago

The RTX 5090 wins for the most common use case of LLM inference because its 104.8 TFLOPS FP32 and 1792 GB/s bandwidth deliver higher throughput than the Quadro P6000 12.6 TFLOPS and 432 GB/s figures while maintaining the same PCIe form factor.

Quadro P6000 from $1.10/GPU/hrRTX 5090 from $0.89/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX 5090 at $0.89/hr on Vast.ai

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  • Most providers in stock: RTX 5090 (2)

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Specifications Compared

SpecQuadro P6000RTX 5090
TDP250W575W
VRAM24 GB32 GB
CUDA Cores3,84021,760
FP4 (dense)Not published1,676 TFLOPS
FP8 (dense)Not published419 TFLOPS
Memory TypeGDDR5XGDDR7
ArchitecturePascalBlackwell
FP16 (dense)Not published209.5 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)Not published838 TOPS
InterconnectPCIe 3.0PCIe 5.0
Tensor CoresNot published680
FP32 Performance12.6 TFLOPS104.8 TFLOPS
FP64 PerformanceNot published1.6 TFLOPS
Memory Bandwidth432 GB/s1,792 GB/s
FP4 (with sparsity)Not published3,352 TFLOPS
FP8 (with sparsity)Not published838 TFLOPS
FP16 (with sparsity)Not published419 TFLOPS
INT8 (with sparsity)Not published1,676 TOPS

Performance Analysis

The RTX 5090 FP32 figure of 104.8 TFLOPS exceeds the Quadro P6000 FP32 figure of 12.6 TFLOPS by a factor of roughly eight. This gap translates to substantially higher throughput for both training and inference steps that rely on single precision operations. The RTX 5090 also lists FP16 dense performance at 209.5 TFLOPS which supports mixed precision paths that halve data movement compared with FP32. Memory bandwidth of 1792 GB/s on the RTX 5090 versus 432 GB/s on the Quadro P6000 permits larger batch sizes before memory stalls occur during tensor operations. Dense FP16 on the RTX 5090 at 209.5 TFLOPS can be compared directly against dense FP16 figures on other Blackwell parts while sparse FP16 at 419 TFLOPS follows the same sparsity rule. The Quadro P6000 lacks published FP16 values so only FP32 and bandwidth metrics apply in cross model analysis.

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 5090

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Vast.aiCzechia, CZ1$0.89—Deploy
LeaderGPUThe Netherlands1$2.29—Deploy

2 providers in stock, 7 offers (cheapest per provider shown). All RTX 5090 offers, price history and alerts

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When to Choose the Quadro P6000

The Quadro P6000 suits environments constrained to 250W TDP where the RTX 5090 575W rating exceeds available power delivery. Its 24 GB GDDR5X memory and PCIe 3.0 interconnect remain adequate for legacy scientific computing codes that do not scale with higher FP32 throughput.

When to Choose the RTX 5090

Its 32 GB GDDR7 capacity further supports models that exceed the 24 GB limit of the Quadro P6000.

Use Cases

LLM Training
RTX 5090

The RTX 5090 supplies 104.8 TFLOPS FP32 and 1792 GB/s bandwidth that exceed the Quadro P6000 values of 12.6 TFLOPS and 432 GB/s.

LLM Inference
RTX 5090

Dense FP16 performance at 209.5 TFLOPS on the RTX 5090 enables faster token generation than the Quadro P6000 FP32 limit of 12.6 TFLOPS.

Fine-tuning
RTX 5090

The RTX 5090 32 GB GDDR7 memory and 1792 GB/s bandwidth accommodate larger fine tuning batches than the Quadro P6000 24 GB GDDR5X and 432 GB/s.

Stable Diffusion
RTX 5090

FP8 dense performance of 419 TFLOPS on the RTX 5090 accelerates diffusion steps beyond the Quadro P6000 FP32 capability of 12.6 TFLOPS.

Scientific Computing
Quadro P6000

The Quadro P6000 TDP of 250W fits power limited scientific nodes where the RTX 5090 TDP of 575W cannot be supported.

Frequently Asked Questions

What memory configurations distinguish the Quadro P6000 from the RTX 5090?▾

The Quadro P6000 contains 24 GB GDDR5X memory with 432 GB/s bandwidth. The RTX 5090 contains 32 GB GDDR7 memory with 1792 GB/s bandwidth.

How does FP32 performance compare between these GPUs?▾

The Quadro P6000 reaches 12.6 TFLOPS FP32. The RTX 5090 reaches 104.8 TFLOPS FP32.

What power and interconnect differences exist?▾

The Quadro P6000 lists a TDP of 250W and PCIe 3.0 interconnect. The RTX 5090 lists a TDP of 575W and PCIe 5.0 interconnect.

Can FP16 figures be compared directly?▾

The RTX 5090 provides published FP16 dense at 209.5 TFLOPS and FP16 with sparsity at 419 TFLOPS. The Quadro P6000 has no published FP16 value.

Which GPU offers higher memory bandwidth for batch processing?▾

The RTX 5090 bandwidth of 1792 GB/s exceeds the Quadro P6000 bandwidth of 432 GB/s and therefore supports larger batches before stalls.

Which is cheaper to rent, the Quadro P6000 or the RTX 5090?▾

Cloud rental prices for both the Quadro P6000 and RTX 5090 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 5090?▾

The Quadro P6000 has 24 GB of GDDR5X memory. The RTX 5090 has 32 GB of GDDR7 memory.

Can I find Quadro P6000 and RTX 5090 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 5090?▾

The Quadro P6000 uses the Pascal architecture (2016) while the RTX 5090 uses Blackwell (2025). The Quadro P6000 has 24 GB of GDDR5X at 432 GB/s; the RTX 5090 has 32 GB of GDDR7 at 1,792 GB/s, so the RTX 5090 has 4.1x the memory bandwidth of the Quadro P6000.

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 Quadro P6000 and the RTX 5090. 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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