GPU comparison

Quadro P5000 vs RTX 4060

Specifications and current cloud pricing, side by side.

PascalvsAda LovelaceUpdated 32 days ago

The RTX 4060 wins for the most common use case of inference. Its 15.1 TFLOPS dense FP32 rating exceeds the Quadro P5000 8.9 TFLOPS dense FP32 rating while its 115W TDP undercuts the 180W TDP of the older card.

Quadro P5000 listed from $0.78/GPU/hrRTX 4060 listed from $0.15/GPU/hr

Right now, from live stock

  • Cheapest right now: Quadro P5000 at $0.78/hr on Paperspace

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  • Most providers in stock: Quadro P5000 (1)

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Specifications Compared

SpecQuadro P5000RTX 4060
TDP180W115W
VRAM16 GB8-16 GB
CUDA Cores2,5603,072
Memory TypeGDDR5XGDDR6
ArchitecturePascalAda Lovelace
Form FactorsPCIePCIe
InterconnectPCIe 3.0PCIe 4.0
Tensor CoresNot published96
FP32 Performance8.9 TFLOPS15.1 TFLOPS
Memory Bandwidth288 GB/s272 GB/s
FP8 (with sparsity)Not published242 TFLOPS

Performance Analysis

FP32 dense performance favors the RTX 4060 at 15.1 TFLOPS over the Quadro P5000 at 8.9 TFLOPS. This difference influences training and inference speeds for workloads that rely on dense FP32 calculations. Memory bandwidth stands at 288 GB/s for the Quadro P5000 and 272 GB/s for the RTX 4060 so batch sizes in memory intensive tasks remain comparable yet slightly larger on the Quadro P5000. The RTX 4060 lists FP8 performance with sparsity at 242 TFLOPS while the Quadro P5000 lists no FP8 figure. Lower TDP of 115W on the RTX 4060 versus 180W on the Quadro P5000 reduces power draw during extended runs.

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 P5000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Paperspaceca12$0.78$1.56Deploy

1 provider in stock, 6 offers (cheapest per provider shown). All Quadro P5000 offers, price history and alerts

RTX 4060

RTX 4060 is not offered on-demand by any provider we track right now. See the RTX 4060 rental page for last-seen listed prices and a price alert.

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When to Choose the Quadro P5000

The Quadro P5000 suits scenarios that require its 16 GB VRAM capacity and 288 GB/s bandwidth. Scientific computing tasks benefit from these memory attributes when handling large datasets that exceed 8 GB limits. Its PCIe 3.0 interconnect remains sufficient for legacy systems that lack PCIe 4.0 support.

When to Choose the RTX 4060

The RTX 4060 suits scenarios that require its 15.1 TFLOPS dense FP32 performance and 115W TDP. Inference workloads gain from the higher dense FP32 rating combined with reduced power consumption. Newer Ada Lovelace architecture supports the listed 242 TFLOPS FP8 figure with sparsity for compatible sparse operations.

Use Cases

LLM Training
RTX 4060

The RTX 4060 delivers 15.1 TFLOPS dense FP32 compared with 8.9 TFLOPS dense FP32 on the Quadro P5000.

LLM Inference
RTX 4060

The RTX 4060 provides 15.1 TFLOPS dense FP32 and 115W TDP for efficient inference runs.

Fine-tuning
RTX 4060

The RTX 4060 combines higher dense FP32 performance with lower 115W TDP than the 180W TDP of the Quadro P5000.

Stable Diffusion
Either

Both GPUs offer similar memory bandwidth at 288 GB/s and 272 GB/s for image generation tasks.

Scientific Computing
Quadro P5000

The Quadro P5000 supplies 16 GB VRAM and 288 GB/s bandwidth for large dataset handling.

Frequently Asked Questions

What FP32 performance does the Quadro P5000 deliver?▾

The Quadro P5000 delivers 8.9 TFLOPS dense FP32. Its TDP reaches 180W with 16 GB GDDR5X memory.

What FP32 performance does the RTX 4060 deliver?▾

The RTX 4060 delivers 15.1 TFLOPS dense FP32. Its TDP reaches 115W with 8 to 16 GB GDDR6 memory.

How does memory bandwidth compare between these GPUs?▾

The Quadro P5000 provides 288 GB/s bandwidth. The RTX 4060 provides 272 GB/s bandwidth.

Which GPU has lower power consumption?▾

The RTX 4060 has a 115W TDP. The Quadro P5000 has a 180W TDP.

What interconnect does each GPU use?▾

The Quadro P5000 uses PCIe 3.0. The RTX 4060 uses PCIe 4.0.

Does the RTX 4060 list a sparse tensor figure?▾

The RTX 4060 lists 242 TFLOPS FP8 with sparsity. The Quadro P5000 lists no FP8 figure.

Which is cheaper to rent, the Quadro P5000 or the RTX 4060?▾

Cloud rental prices for both the Quadro P5000 and RTX 4060 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 P5000 have compared to the RTX 4060?▾

The Quadro P5000 has 16 GB of GDDR5X memory. The RTX 4060 has 8 to 16 GB of GDDR6 memory.

Can I find Quadro P5000 and RTX 4060 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 P5000 and the RTX 4060?▾

The Quadro P5000 uses the Pascal architecture (2016) while the RTX 4060 uses Ada Lovelace (2023). The Quadro P5000 has 16 GB of GDDR5X at 288 GB/s; the RTX 4060 has 8-16 GB of GDDR6 at 272 GB/s, so the Quadro P5000 has 1.1x the memory bandwidth of the RTX 4060.

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 P5000 and the RTX 4060. 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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