Specifications Compared
| Spec | QUADRO-RTX-8000 | RTX-2060 |
|---|---|---|
| TDP | 260W | 160W |
| VRAM | 48 GB | 6-12 GB |
| CUDA Cores | 4,608 | 1,920 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 576 | 240 |
| FP16 Performance | 16.3 TFLOPS | 6.5 TFLOPS |
| FP32 Performance | 16.3 TFLOPS | 6.5 TFLOPS |
| Memory Bandwidth | 672 GB/s | 336 GB/s |
Performance Analysis
Compute specs reveal the Quadro RTX 8000's edge: 16.3 TFLOPS FP16 and FP32 versus 7.2 TFLOPS on the RTX 2060 SUPER translates to 2.25 times faster matrix operations. In deep learning training, this accelerates gradient computations on large batches; inference benefits similarly with quicker forward passes on models up to 48 GB.
Memory bandwidth defines practical limits: the Quadro's 672 GB/s sustains larger batch sizes than the 2060 SUPER's 448 GB/s, reducing data loading bottlenecks in transformer training. The 48 GB VRAM enables full-model loading for billion-parameter LLMs, while 8 GB on the SUPER forces quantization or splitting, slowing effective throughput by constraining context lengths.
Power draw impacts cloud economics: 260W TDP on the Quadro demands more cooling, yet NVLink interconnect allows multi-GPU coherence absent on the single-link 2060 SUPER.
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 8000
The Quadro RTX 8000 fits workloads needing extreme VRAM, such as training LLMs exceeding 8 GB or scientific simulations with 48 GB datasets. Its NVLink enables seamless multi-GPU setups for distributed training, and 672 GB/s bandwidth handles high-throughput visualization in CAD.
Enterprise users prioritize its 16.3 TFLOPS for sustained professional rendering where the 2060 SUPER's 8 GB falls short.
When to Choose the RTX 2060 SUPER
The RTX 2060 SUPER serves lighter AI tasks like fine-tuning models under 8 GB or Stable Diffusion inference, where 7.2 TFLOPS suffices at lower 175W TDP for cost savings. Gaming-adjacent users leverage its efficiency in cloud gaming or entry-level ML prototyping.
Budget deployments favor it over the Quadro's 260W when VRAM demands stay below 8 GB.
Use Cases
48 GB VRAM loads massive models without splitting; 16.3 TFLOPS accelerates training 2.25 times over 7.2 TFLOPS.
Higher 672 GB/s bandwidth supports larger batches; 48 GB fits long-context queries versus 8 GB limit.
Small models fit 8 GB; Quadro's 48 GB aids larger ones, but 2060 SUPER's 175W suits low-cost runs.
8 GB VRAM handles typical generations; 7.2 TFLOPS and 448 GB/s deliver fast inference at lower 175W.
NVLink scales multi-GPU simulations; 48 GB VRAM processes large datasets beyond 8 GB capacity.
Frequently Asked Questions
Which GPU has more VRAM: Quadro RTX 8000 or RTX 2060 SUPER?▾
The Quadro RTX 8000 provides 48 GB GDDR6 VRAM. The RTX 2060 SUPER has 8 GB GDDR6. This sixfold difference suits large-model AI on the Quadro.
What are the FP32 performance differences?▾
Quadro RTX 8000 delivers 16.3 TFLOPS FP32. RTX 2060 SUPER reaches 7.2 TFLOPS. The Quadro processes 2.25 times more floating-point operations.
How do memory bandwidths compare?▾
Quadro RTX 8000 offers 672 GB/s bandwidth. RTX 2060 SUPER provides 448 GB/s. Higher bandwidth on Quadro enables bigger batches in training.
What are the TDP ratings?▾
Quadro RTX 8000 consumes 260W TDP. RTX 2060 SUPER uses 175W. Lower TDP on SUPER reduces cloud power costs for light tasks.
Does either support NVLink?▾
Quadro RTX 8000 includes NVLink for multi-GPU. RTX 2060 SUPER lacks interconnect. NVLink aids scaled professional workloads.
Are live rental offers available?▾
No live offers exist for Quadro RTX 8000. None for RTX 2060 SUPER. Check gpuperhour.com for updates.
Which is cheaper to rent, the Quadro RTX 8000 or the RTX 2060?▾
Cloud rental prices for both the Quadro RTX 8000 and RTX 2060 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 8000 have compared to the RTX 2060?▾
The Quadro RTX 8000 has 48 GB of GDDR6 memory. The RTX 2060 has 6 to 12 GB of GDDR6 memory.
Can I find Quadro RTX 8000 and RTX 2060 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 8000 and the RTX 2060?▾
The Quadro RTX 8000 uses the Turing architecture (2018) while the RTX 2060 uses Turing (2019). The Quadro RTX 8000 delivers 2.5x the FP16 throughput and 2.0x the memory bandwidth of the RTX 2060.