Quadro P6000 vs RTX 4060

PascalvsAda LovelaceUpdated 36 days ago

The RTX 4060 wins for most common use cases like LLM inference and fine-tuning, offering 15.1 TFLOPS at $0.15 per hour average versus the P6000's 12.6 TFLOPS at $1.10 per hour. Superior price-performance and efficiency outweigh the older GPU's memory advantage for typical batch sizes fitting 8 GB.

Quadro P6000 from $1.10/hr

Specifications Compared

SpecQUADRO-P6000RTX-4060
TDP250W115W
VRAM24 GB8 GB
CUDA Cores3,8403,072
Memory TypeGDDR5XGDDR6
ArchitecturePascalAda Lovelace
Form FactorsPCIePCIe
Interconnect
FP16 Performance12.6 TFLOPS15.1 TFLOPS
FP32 Performance12.6 TFLOPS15.1 TFLOPS
Memory Bandwidth432 GB/s272 GB/s

Performance Analysis

The RTX 4060 outperforms the Quadro P6000 in raw compute with 15.1 TFLOPS FP16 and FP32 versus 12.6 TFLOPS, accelerating training and inference by about 20 percent in floating-point operations. This edge matters for modern ML workloads where tensor cores in Ada Lovelace enhance efficiency over Pascal's capabilities. However, both maintain equal FP16 to FP32 ratios, indicating similar precision handling without specialized half-precision boosts.

The P6000's 24 GB VRAM dwarfs the 4060's 8 GB, supporting larger batch sizes in training large models that exceed 8 GB limits. Its 432 GB/s bandwidth versus 272 GB/s sustains higher throughput for memory-bound tasks, reducing bottlenecks in data loading. The 4060's 115W TDP enables denser cloud deployments, cutting power costs compared to the P6000's 250W draw.

Live Cloud Pricing

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

Quadro P6000

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Paperspace
Paperspace
NVIDIA Quadro P6000
24GB VRAM
$1.10/GPU/hr
Available
Paperspace
Paperspace
NVIDIA Quadro P6000
24GB VRAM
$1.10/GPU/hr
Available
Paperspace
Paperspace
NVIDIA Quadro P6000
24GB VRAM
$1.10/GPU/hr
Available
Paperspace
Paperspace
2×NVIDIA Quadro P6000
24GB VRAM
$1.10/GPU/hr
$2.20/hr total (2×)
Available
Paperspace
Paperspace
2×NVIDIA Quadro P6000
24GB VRAM
$1.10/GPU/hr
$2.20/hr total (2×)
Available

Compare real-time pricing across 25+ providers

When to Choose the Quadro P6000

Select the Quadro P6000 for workloads demanding over 8 GB VRAM, such as training large LLMs or scientific simulations with massive datasets. Its 24 GB GDDR5X and 432 GB/s bandwidth handle batch sizes that crash on the RTX 4060. Professionals in CAD or legacy HPC prioritize this despite the $1.10 per hour cost.

When to Choose the RTX 4060

The RTX 4060 suits cost-sensitive users with its $0.08 per hour starting price and 15.1 TFLOPS compute, ideal for inference or fine-tuning models under 8 GB. Lower 115W TDP reduces operational expenses in scalable cloud setups. Newer Ada Lovelace architecture optimizes common ML frameworks better than Pascal.

Use Cases

LLM Training
Quadro P6000

The Quadro P6000's 24 GB VRAM supports large model training with bigger batches, unlike the RTX 4060's 8 GB limit. Bandwidth at 432 GB/s aids data-heavy phases.

LLM Inference
RTX 4060

RTX 4060's 15.1 TFLOPS FP16 outperforms the P6000's 12.6 TFLOPS for faster serving. Low $0.08 per hour pricing scales deployments economically.

Fine-tuning
RTX 4060

Fine-tuning often fits within 8 GB VRAM, where 4060's higher 15.1 TFLOPS and Ada architecture speed iterations. Cost savings at $0.15 per hour average prevail.

Stable Diffusion
RTX 4060

Ada Lovelace optimizations in RTX 4060 boost diffusion model generation over Pascal. 15.1 TFLOPS and low TDP handle real-time tasks efficiently.

Scientific Computing
Quadro P6000

P6000's 24 GB VRAM and 432 GB/s bandwidth excel in memory-intensive simulations. It manages large arrays without swapping, despite higher $1.10 per hour cost.

Frequently Asked Questions

Which GPU has more VRAM?

The Quadro P6000 provides 24 GB GDDR5X VRAM, triple the RTX 4060's 8 GB GDDR6. This enables larger models on the P6000. Bandwidth follows at 432 GB/s versus 272 GB/s.

Is the RTX 4060 faster than the Quadro P6000?

The RTX 4060 achieves 15.1 TFLOPS FP16 and FP32, exceeding the P6000's 12.6 TFLOPS by 20 percent. Ada Lovelace architecture enhances ML efficiency. Compute-bound tasks favor the 4060.

What are the power differences?

RTX 4060 draws 115W TDP, half the Quadro P6000's 250W. This lowers cloud energy costs for the 4060. Both use PCIe form factors.

How do cloud prices compare?

Quadro P6000 starts at $1.10 per hour average across six offers. RTX 4060 begins at $0.08 per hour, averaging $0.15 across six offers. Savings exceed 90 percent with 4060.

Which is better for large model training?

Quadro P6000 excels with 24 GB VRAM for models over 8 GB. Its 432 GB/s bandwidth supports high batches. RTX 4060 suits smaller scales.

What architectures do they use?

Quadro P6000 uses 2016 Pascal architecture. RTX 4060 employs 2023 Ada Lovelace. Newer design brings tensor core improvements.

Which is cheaper to rent, the Quadro P6000 or the RTX 4060?

Cloud rental prices for both the Quadro P6000 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 P6000 have compared to the RTX 4060?

The Quadro P6000 has 24 GB of GDDR5X memory. The RTX 4060 has 8 GB of GDDR6 memory.

Can I find Quadro P6000 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 P6000 and the RTX 4060?

The Quadro P6000 uses the Pascal architecture (2016) while the RTX 4060 uses Ada Lovelace (2023). The RTX 4060 delivers 1.2x the FP16 throughput and 1.6x the memory bandwidth of the Quadro P6000.

Quadro P6000 vs RTX 4060: 24GB GDDR5X vs 8GB GDDR6 | GPUPerHour