Quadro P6000 vs RTX 3070 Ti

PascalvsAmpereUpdated 35 days ago

The RTX 3070 Ti claims victory for most machine learning applications. It provides 61 percent higher performance at 92 percent lower cloud rental costs ($0.06 per hour versus $1.10), outweighing the P6000's VRAM edge in typical workloads fitting 8 GB.

Quadro P6000 from $1.10/hr

Specifications Compared

SpecQUADRO-P6000RTX-3070
TDP250W220W
VRAM24 GB8 GB
CUDA Cores3,8405,888
Memory TypeGDDR5XGDDR6
ArchitecturePascalAmpere
Form FactorsPCIePCIe
Interconnect
FP16 Performance12.6 TFLOPS20.3 TFLOPS
FP32 Performance12.6 TFLOPS20.3 TFLOPS
Memory Bandwidth432 GB/s448 GB/s

Performance Analysis

Compute performance favors the RTX 3070 Ti decisively: its 20.3 TFLOPS in FP32 surpasses the Quadro P6000's 12.6 TFLOPS by 61 percent, accelerating training cycles and inference latency in single-precision workloads. FP16 matches this delta at 20.3 TFLOPS versus 12.6 TFLOPS, enhancing efficiency for mixed-precision deep learning frameworks like TensorFlow or PyTorch.

VRAM capacity defines real-world limits: the P6000's 24 GB enables larger batch sizes or multi-GPU model parallelism without swapping, unlike the 3070 Ti's 8 GB cap which constrains datasets over 6-7 GB effective usage. Memory bandwidth remains close at 448 GB/s for the 3070 Ti and 432 GB/s for the P6000, ensuring comparable data throughput for memory-bound operations. The 3070 Ti's lower 220W TDP versus 250W reduces heat and power draw in prolonged cloud sessions.

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

The Quadro P6000 suits memory-intensive workloads exceeding 8 GB VRAM. Large-scale model training or high-resolution simulations fit its 24 GB capacity, avoiding out-of-memory failures common on the RTX 3070 Ti. Professional applications benefit from Quadro-optimized drivers despite the $1.10 per hour rental cost.

When to Choose the RTX 3070 Ti

The RTX 3070 Ti dominates cost-effective, throughput-focused tasks. Its 20.3 TFLOPS performance and $0.06 per hour starting price yield superior value for models within 8 GB VRAM, such as fine-tuning or batch inference. The 220W TDP supports denser cloud deployments with lower energy overhead.

Use Cases

LLM Training
Quadro P6000

LLM training demands extensive VRAM for large parameter sets and gradients; the P6000's 24 GB handles models over 8 GB, while the 3070 Ti risks memory exhaustion.

LLM Inference
RTX 3070 Ti

Inference on quantized or smaller LLMs fits 8 GB VRAM easily; the 3070 Ti's 20.3 TFLOPS delivers 61 percent faster throughput than the P6000's 12.6 TFLOPS at lower cost.

Fine-tuning
RTX 3070 Ti

Fine-tuning mid-sized models uses under 8 GB VRAM; 3070 Ti's Ampere architecture and 448 GB/s bandwidth enable quicker iterations versus P6000's older Pascal design.

Stable Diffusion
RTX 3070 Ti

Stable Diffusion pipelines operate within 8 GB VRAM at standard resolutions; 3070 Ti's 20.3 TFLOPS accelerates generation by 61 percent over P6000.

Scientific Computing
Either

FP32-heavy simulations leverage 3070 Ti's 20.3 TFLOPS for speed if under 8 GB data; P6000's 24 GB aids memory-bound HPC tasks like molecular dynamics.

Frequently Asked Questions

Which GPU has more VRAM: Quadro P6000 or RTX 3070 Ti?

The Quadro P6000 has 24 GB GDDR5X VRAM, three times the RTX 3070 Ti's 8 GB GDDR6. This makes the P6000 better for large models. The 3070 Ti suffices for most modern workloads under 8 GB.

What are the cloud rental prices for these GPUs?

Quadro P6000 rentals average $1.10 per hour across six offers. RTX 3070 Ti starts at $0.06 per hour, averaging $0.08 across two offers. Price favors the 3070 Ti by over 90 percent.

Which has higher FP32 performance?

The RTX 3070 Ti achieves 20.3 TFLOPS FP32, 61 percent above the Quadro P6000's 12.6 TFLOPS. This translates to faster training and compute tasks. FP16 performance mirrors this gap.

How do memory bandwidths compare?

RTX 3070 Ti offers 448 GB/s, slightly edging the Quadro P6000's 432 GB/s. Differences minimally impact most workloads. Both support efficient data transfers in PCIe form factors.

What are the TDPs of these GPUs?

Quadro P6000 consumes 250W TDP, while RTX 3070 Ti uses 220W. Lower TDP on 3070 Ti reduces power costs in cloud environments. Both fit standard PCIe slots.

Which architecture is newer?

RTX 3070 Ti uses Ampere from 2020, succeeding the Quadro P6000's Pascal from 2016. Ampere includes tensor cores for AI acceleration absent in Pascal. This drives the 61 percent performance uplift.

Which is cheaper to rent, the Quadro P6000 or the RTX 3070?

Cloud rental prices for both the Quadro P6000 and RTX 3070 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 3070?

The Quadro P6000 has 24 GB of GDDR5X memory. The RTX 3070 has 8 GB of GDDR6 memory.

Can I find Quadro P6000 and RTX 3070 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 3070?

The Quadro P6000 uses the Pascal architecture (2016) while the RTX 3070 uses Ampere (2020). The RTX 3070 delivers 1.6x the FP16 throughput and 1.0x the memory bandwidth of the Quadro P6000.

Quadro P6000 vs RTX 3070 Ti: 24GB GDDR5X vs 8GB GDDR6 | GPUPerHour