Specifications Compared
| Spec | QUADRO-RTX-4000 | RTX-2060 |
|---|---|---|
| TDP | 160W | 160W |
| VRAM | 8 GB | 6-12 GB |
| CUDA Cores | 2,304 | 1,920 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 288 | 240 |
| FP16 Performance | 7.1 TFLOPS | 6.5 TFLOPS |
| FP32 Performance | 7.1 TFLOPS | 6.5 TFLOPS |
| Memory Bandwidth | 416 GB/s | 336 GB/s |
Performance Analysis
Quadro RTX 4000 demonstrates superior raw compute: its 7.1 TFLOPS FP32 rating outpaces RTX 2060's 6.5 TFLOPS by 9 percent, with identical FP16 performance implying equivalent acceleration for half-precision training and inference in deep learning pipelines. This delta translates to faster epoch times in model training, particularly for FP32-dominant scientific simulations.
Memory bandwidth marks the clearest divide: 416 GB/s on Quadro RTX 4000 versus 336 GB/s on RTX 2060 allows larger batch sizes in memory-bound tasks like LLM fine-tuning, where higher throughput minimizes data transfer bottlenecks and sustains GPU utilization above 90 percent. The Quadro's consistent 8 GB VRAM outperforms base RTX 2060's 6 GB in handling datasets exceeding 4 GB, though 12 GB variants mitigate this for select RTX 2060 instances.
Both share 160W TDP, ensuring similar power efficiency in PCIe slots, but Quadro's professional optimizations yield better stability for prolonged 24/7 inference runs.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Quadro RTX 4000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.56/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Canada | $0.56/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.56/GPU/hr $1.12/hr total (2×) | Available | ||
Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $0.56/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | Canada | $0.56/GPU/hr $1.12/hr total (2×) | Available |
When to Choose the Quadro RTX 4000
Quadro RTX 4000 excels in certified professional workflows: its 416 GB/s bandwidth and 8 GB VRAM handle complex CAD rendering or visualization tasks more effectively than RTX 2060's 336 GB/s and 6 GB base. Availability across 5 cloud offers at $0.56/hr supports enterprise needs requiring ECC-like stability.
Choose it for memory-intensive ML where 7.1 TFLOPS sustains larger models without swapping.
When to Choose the RTX 2060
RTX 2060 dominates budget-conscious scenarios: cloud pricing from $0.02/hr average $0.04/hr across 2 offers delivers 6.5 TFLOPS at a fraction of Quadro RTX 4000's $0.56/hr cost. This suits light inference or prototyping where 6 GB VRAM suffices.
Select it for gaming emulation or entry-level Stable Diffusion, leveraging 2019 Turing features at minimal expense.
Use Cases
Quadro RTX 4000's 7.1 TFLOPS FP32 and 416 GB/s bandwidth enable faster training of large language models with bigger batches than RTX 2060's 6.5 TFLOPS and 336 GB/s.
Both deliver comparable FP16 at 7.1 TFLOPS versus 6.5 TFLOPS, but RTX 2060's lower $0.02/hr cost favors high-volume serving while Quadro suits certified setups.
Higher 416 GB/s bandwidth on Quadro RTX 4000 supports larger batch sizes during fine-tuning compared to 336 GB/s on RTX 2060, reducing overhead.
RTX 2060's 6-12 GB VRAM variants and $0.02/hr pricing handle image generation efficiently at 6.5 TFLOPS, matching most consumer needs.
Quadro RTX 4000's 8 GB VRAM and 7.1 TFLOPS FP32 provide stability for simulations exceeding RTX 2060's base 6 GB capacity.
Frequently Asked Questions
Which GPU has higher memory bandwidth?▾
Quadro RTX 4000 achieves 416 GB/s, surpassing RTX 2060's 336 GB/s by 24 percent. This benefits memory-bound workloads like large-batch training. Both use GDDR6 memory.
What are the cloud pricing differences?▾
RTX 2060 starts from $0.02/hr with $0.04/hr average across 2 offers, versus Quadro RTX 4000's $0.56/hr average across 5 offers. The 28x cost gap favors RTX 2060 for budget tasks.
Do they have the same compute performance?▾
Quadro RTX 4000 offers 7.1 TFLOPS FP16 and FP32, exceeding RTX 2060's 6.5 TFLOPS in both by 9 percent. This edge aids training and inference.
Which has more VRAM?▾
Quadro RTX 4000 provides fixed 8 GB GDDR6, while RTX 2060 ranges 6-12 GB GDDR6. Base models favor Quadro, but 12 GB RTX 2060 variants exceed it.
Are power requirements identical?▾
Both GPUs consume 160W TDP in PCIe form factors. This ensures equivalent power draw in cloud instances.
Which is better for machine learning?▾
Quadro RTX 4000 leads with 7.1 TFLOPS and 416 GB/s bandwidth for demanding ML, but RTX 2060's $0.02/hr pricing wins for cost-sensitive inference.
Which is cheaper to rent, the Quadro RTX 4000 or the RTX 2060?▾
Cloud rental prices for both the Quadro RTX 4000 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 4000 have compared to the RTX 2060?▾
The Quadro RTX 4000 has 8 GB of GDDR6 memory. The RTX 2060 has 6 to 12 GB of GDDR6 memory.
Can I find Quadro RTX 4000 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 4000 and the RTX 2060?▾
The Quadro RTX 4000 uses the Turing architecture (2018) while the RTX 2060 uses Turing (2019). The Quadro RTX 4000 delivers 1.1x the FP16 throughput and 1.2x the memory bandwidth of the RTX 2060.