Specifications Compared
| Spec | QUADRO-RTX-6000 | RTX-3070 |
|---|---|---|
| TDP | 260W | 220W |
| VRAM | 24 GB | 8 GB |
| CUDA Cores | 4,608 | 5,888 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 576 | 184 |
| FP16 Performance | 16.3 TFLOPS | 20.3 TFLOPS |
| FP32 Performance | 16.3 TFLOPS | 20.3 TFLOPS |
| Memory Bandwidth | 672 GB/s | 448 GB/s |
Performance Analysis
The RTX 3070 Ti's 22.1 TFLOPS FP16 and FP32 performance exceeds the Quadro RTX 6000's 16.3 TFLOPS, enabling 35 percent faster training and inference for deep learning models that fit within 8 GB VRAM. This compute edge stems from Ampere's architectural improvements, reducing iteration times in FP16-dominated neural network operations.
The Quadro RTX 6000's 24 GB VRAM allows larger batch sizes and complex models that cause out-of-memory issues on the RTX 3070 Ti's 8 GB, critical for training large language models. Its 672 GB/s bandwidth, higher than 608 GB/s, sustains performance in memory-bound tasks, supporting bigger batches without throttling data flow.
In inference scenarios, the RTX 3070 Ti handles high-throughput requests quicker for compact models, while the Quadro RTX 6000 with NVLink excels in scaled FP32-precision workloads or simulations requiring extensive memory.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
No live offers available at this time.
When to Choose the Quadro RTX 6000
Choose the Quadro RTX 6000 for workloads demanding over 8 GB VRAM, such as training or fine-tuning large language models with 24 GB capacity to maximize batch sizes. Its 672 GB/s bandwidth and NVLink interconnect optimize multi-GPU scientific computing and data-heavy simulations.
Professional environments benefit from its Turing stability when availability aligns, despite lacking current cloud offers.
When to Choose the RTX 3070 Ti
The RTX 3070 Ti suits budget-conscious cloud users running models under 8 GB VRAM, delivering 22.1 TFLOPS for swift LLM inference and Stable Diffusion at $0.06 per hour. Its Ampere efficiency outperforms in single-GPU training where compute speed trumps memory.
General machine learning tasks leverage its 2 live pricing offers for scalable, cost-effective deployments.
Use Cases
24 GB VRAM on the Quadro RTX 6000 accommodates massive models and large batches essential for LLM training, avoiding the RTX 3070 Ti's 8 GB limitations.
The RTX 3070 Ti's 22.1 TFLOPS FP16 performance accelerates inference for models fitting in 8 GB VRAM. Switch to Quadro RTX 6000 only for oversized deployments.
22.1 TFLOPS and $0.06 per hour pricing make the RTX 3070 Ti ideal for efficient fine-tuning of mid-sized models within 8 GB.
Stable Diffusion workflows fit comfortably in 8 GB VRAM, where the RTX 3070 Ti's higher 22.1 TFLOPS speeds up image generation compared to 16.3 TFLOPS.
The Quadro RTX 6000's 24 GB VRAM and 672 GB/s bandwidth handle large datasets in simulations, with NVLink enabling multi-GPU scaling.
Frequently Asked Questions
Which GPU has more VRAM: Quadro RTX 6000 or RTX 3070 Ti?▾
The Quadro RTX 6000 has 24 GB GDDR6 VRAM, triple the RTX 3070 Ti's 8 GB GDDR6X. This makes the Quadro better for memory-intensive tasks. The RTX 3070 Ti suffices for smaller models.
What are the FP32 performance differences?▾
The RTX 3070 Ti delivers 22.1 TFLOPS FP32, 35 percent higher than the Quadro RTX 6000's 16.3 TFLOPS. This boosts training and inference speeds on Ampere. Turing's lower rate suits legacy precision work.
What is the cloud pricing for RTX 3070 Ti?▾
RTX 3070 Ti cloud pricing starts at $0.06 per hour, averaging $0.08 per hour across 2 live offers. No live offers exist for Quadro RTX 6000. This favors RTX 3070 Ti for rentals.
Does the Quadro RTX 6000 support NVLink?▾
Yes, the Quadro RTX 6000 includes NVLink for multi-GPU interconnects. The RTX 3070 Ti lacks this feature. NVLink enhances scaled training bandwidth.
Compare memory bandwidth and TDP.▾
Quadro RTX 6000 offers 672 GB/s bandwidth at 260 W TDP; RTX 3070 Ti provides 608 GB/s at 290 W TDP. Higher bandwidth aids Quadro in data-heavy tasks. TDP reflects Ampere's density.
Which architecture is newer?▾
Ampere in the RTX 3070 Ti from 2020 outpaces Turing in the Quadro RTX 6000 from 2018. This yields 22.1 TFLOPS versus 16.3 TFLOPS. Newer architecture improves ML efficiency.
Which is cheaper to rent, the Quadro RTX 6000 or the RTX 3070?▾
Cloud rental prices for both the Quadro RTX 6000 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 RTX 6000 have compared to the RTX 3070?▾
The Quadro RTX 6000 has 24 GB of GDDR6 memory. The RTX 3070 has 8 GB of GDDR6 memory.
Can I find Quadro RTX 6000 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 RTX 6000 and the RTX 3070?▾
The Quadro RTX 6000 uses the Turing architecture (2018) while the RTX 3070 uses Ampere (2020). The RTX 3070 delivers 1.2x the FP16 throughput and 1.5x the memory bandwidth of the Quadro RTX 6000.