Quadro P5000 vs RTX 3090

PascalvsAmpereUpdated 36 days ago

The RTX 3090 emerges as the clear winner for most cloud GPU workloads: its 35.6 TFLOPS compute quadruples the Quadro P5000's 8.9 TFLOPS, 24 GB VRAM exceeds 16 GB, and 936 GB/s bandwidth triples 288 GB/s, all at half the average hourly cost of $0.41 versus $0.78. Modern AI tasks leverage Ampere advantages unavailable on Pascal.

Quadro P5000 from $0.78/hrRTX 3090 from $0.20/hr

Specifications Compared

SpecQUADRO-P5000RTX-3090
TDP180W350W
VRAM16 GB24 GB
CUDA Cores2,56010,496
Memory TypeGDDR5XGDDR6X
ArchitecturePascalAmpere
Form FactorsPCIePCIe
InterconnectNVLink
FP16 Performance8.9 TFLOPS35.6 TFLOPS
FP32 Performance8.9 TFLOPS35.6 TFLOPS
Memory Bandwidth288 GB/s936 GB/s

Performance Analysis

The RTX 3090 vastly outperforms the Quadro P5000 in raw compute: 35.6 TFLOPS FP32 versus 8.9 TFLOPS enables four times faster matrix operations critical for deep learning training. FP16 performance mirrors this at 35.6 TFLOPS against 8.9 TFLOPS, accelerating half-precision inference and mixed-precision training common in modern frameworks like TensorFlow and PyTorch. Real-world training epochs complete quicker on the RTX 3090, reducing total cloud hours billed.

Memory bandwidth defines large-batch viability: 936 GB/s on the RTX 3090 supports batch sizes up to three times larger than the Quadro P5000's 288 GB/s, minimizing overhead in data-parallel workloads and improving GPU utilization. The 24 GB VRAM versus 16 GB handles larger models without swapping, essential for LLMs exceeding 7 billion parameters. However, the Quadro P5000's lower 180W TDP yields better efficiency per watt at 49.4 TFLOPS per kW compared to the RTX 3090's 101.7 TFLOPS per kW in FP32.

Inference benefits most from the RTX 3090's specs: higher throughput processes more queries per second, while NVLink enables efficient multi-GPU inference farms unavailable on the single-interconnect Quadro P5000.

Live Cloud Pricing

Real-time prices from 25+ providers. Updated every 60 seconds.

Quadro P5000

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Paperspace
Paperspace
2×NVIDIA Quadro P5000
16GB VRAM
$0.78/GPU/hr
$1.56/hr total (2×)
Available
Paperspace
Paperspace
2×NVIDIA Quadro P5000
16GB VRAM
$0.78/GPU/hr
$1.56/hr total (2×)
Available
Paperspace
Paperspace
2×NVIDIA Quadro P5000
16GB VRAM
$0.78/GPU/hr
$1.56/hr total (2×)
Available
Paperspace
Paperspace
NVIDIA Quadro P5000
16GB VRAM
$0.78/GPU/hr
Available
Paperspace
Paperspace
NVIDIA Quadro P5000
16GB VRAM
$0.78/GPU/hr
Available

RTX 3090

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
TensorDock
TensorDock
NVIDIA GeForce RTX 3090
24GB VRAM
$0.20/GPU/hr
Available
TensorDock
TensorDock
NVIDIA GeForce RTX 3090
24GB VRAM
$0.21/GPU/hr
Available
Vast.ai
Vast.ai
4×NVIDIA GeForce RTX 3090
24GB VRAM
$0.25/GPU/hr
$1.01/hr total (4×)
Available
Vast.ai
Vast.ai
4×NVIDIA GeForce RTX 3090
24GB VRAM
$0.27/GPU/hr
$1.07/hr total (4×)
Available
LeaderGPU
LeaderGPU
8×NVIDIA GeForce RTX 3090
24GB VRAM
$0.29/GPU/hr
$2.29/hr total (8×)
Available

Compare real-time pricing across 25+ providers

When to Choose the Quadro P5000

The Quadro P5000 suits legacy CAD and simulation software optimized for Pascal-era drivers, where its 16 GB GDDR5X VRAM and 8.9 TFLOPS FP32 handle professional visualization tasks without compatibility issues. In power-constrained cloud instances or on-premises setups limited to 180W TDP, it avoids thermal throttling common with the RTX 3090's 350W draw. At $0.78 per hour average, it fits short, certified workstation rentals over experimental consumer cards.

When to Choose the RTX 3090

The RTX 3090 excels in AI and machine learning pipelines demanding 35.6 TFLOPS FP32/FP16 and 24 GB VRAM for models like Stable Diffusion or mid-sized LLMs. Its 936 GB/s bandwidth supports high-throughput training and inference at scale, with NVLink bridging multi-GPU clusters. Cloud pricing from $0.08 per hour averaging $0.41 makes it economical for extended compute sessions versus the pricier Quadro P5000.

Use Cases

LLM Training
RTX 3090

The RTX 3090's 35.6 TFLOPS FP16 and 24 GB VRAM handle large batch sizes and model parameters far better than the Quadro P5000's 8.9 TFLOPS and 16 GB.

LLM Inference
RTX 3090

Higher 936 GB/s bandwidth on the RTX 3090 enables faster query throughput compared to 288 GB/s on the Quadro P5000, with NVLink for scaling.

Fine-tuning
RTX 3090

RTX 3090's 35.6 TFLOPS FP32 outperforms the 8.9 TFLOPS of Quadro P5000, reducing fine-tuning epochs significantly.

Stable Diffusion
RTX 3090

24 GB VRAM and 936 GB/s bandwidth on RTX 3090 support high-resolution generations without limitations of Quadro P5000's 16 GB and 288 GB/s.

Scientific Computing
RTX 3090

Quadrupled FP32 performance at 35.6 TFLOPS on RTX 3090 accelerates simulations over Quadro P5000's 8.9 TFLOPS.

Frequently Asked Questions

Which GPU has more VRAM?

The RTX 3090 offers 24 GB GDDR6X VRAM, surpassing the Quadro P5000's 16 GB GDDR5X. This enables handling of larger models in AI tasks.

What is the FP32 performance difference?

RTX 3090 delivers 35.6 TFLOPS FP32, four times the Quadro P5000's 8.9 TFLOPS. Training and simulations run significantly faster on the newer card.

How do cloud prices compare?

RTX 3090 starts at $0.08 per hour with $0.41 average across 51 offers, cheaper than Quadro P5000's $0.78 average across 6 offers.

Which has higher memory bandwidth?

RTX 3090 provides 936 GB/s, over three times the Quadro P5000's 288 GB/s. Larger batches are feasible without performance drops.

What are the TDP ratings?

Quadro P5000 uses 180W TDP for efficiency, while RTX 3090 requires 350W. Choose based on power limits in cloud instances.

Is RTX 3090 better for AI training?

Yes, with 35.6 TFLOPS FP16/FP32 and 24 GB VRAM versus Quadro P5000's 8.9 TFLOPS and 16 GB. It cuts training time substantially.

Which is cheaper to rent, the Quadro P5000 or the RTX 3090?

Cloud rental prices for both the Quadro P5000 and RTX 3090 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 3090?

The Quadro P5000 has 16 GB of GDDR5X memory. The RTX 3090 has 24 GB of GDDR6X memory.

Can I find Quadro P5000 and RTX 3090 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 3090?

The Quadro P5000 uses the Pascal architecture (2016) while the RTX 3090 uses Ampere (2020). The RTX 3090 delivers 4.0x the FP16 throughput and 3.3x the memory bandwidth of the Quadro P5000.

Quadro P5000 vs RTX 3090: 4.0x FP16 Gap, 24GB vs 16GB | GPUPerHour