Specifications Compared
| Spec | QUADRO-RTX-6000 | RTX-4000-ADA |
|---|---|---|
| TDP | 260W | 130W |
| VRAM | 24 GB | 20 GB |
| CUDA Cores | 4,608 | 6,144 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 576 | 192 |
| FP16 Performance | 16.3 TFLOPS | 26.7 TFLOPS |
| FP32 Performance | 16.3 TFLOPS | 26.7 TFLOPS |
| Memory Bandwidth | 672 GB/s | 360 GB/s |
Performance Analysis
Compute capabilities favor the RTX 4000 Ada, which achieves 26.7 TFLOPS in FP16 and FP32, compared to the Quadro RTX 6000's 16.3 TFLOPS in both precisions. This 64 percent higher throughput accelerates machine learning training and inference tasks, reducing iteration times for models that rely on half-precision or single-precision operations.
Memory differences impact workload scalability: the Quadro RTX 6000's 24 GB VRAM supports larger models than the RTX 4000 Ada's 20 GB, while its 672 GB/s bandwidth versus 360 GB/s enables bigger batch sizes in data-intensive applications without bottlenecks. Lower bandwidth on the RTX 4000 Ada may limit performance in memory-bound scenarios.
Power efficiency is a standout for the RTX 4000 Ada at 130W TDP against 260W, making it suitable for dense deployments. The Quadro RTX 6000 includes NVLink interconnect, absent on the RTX 4000 Ada, aiding multi-GPU scaling in supported setups.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4000 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 8 vCPU 50GB RAM | 🌍global | $0.26/GPU/hr | |||
 Vast.ai | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 64 vCPU 42GB RAM 505GB Storage | Hungary | $0.40/GPU/hr | Available | ||
RunPod | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 8 vCPU 50GB RAM | 🌍global | $0.44/GPU/hr | |||
RunPod | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 0 vCPU 0GB RAM | 🌍global | $0.57/GPU/hr |
When to Choose the Quadro RTX 6000
The Quadro RTX 6000 excels in scenarios requiring maximum VRAM or bandwidth, such as loading massive datasets or simulations exceeding 20 GB. Its 24 GB GDDR6 and 672 GB/s bandwidth handle large batch sizes effectively, outperforming the RTX 4000 Ada in memory-constrained environments. NVLink support further recommends it for multi-GPU professional workstations from 2018-era setups.
When to Choose the RTX 4000 Ada
The RTX 4000 Ada suits modern cloud-based workflows with its 26.7 TFLOPS FP16 and FP32 performance, 64 percent above the Quadro RTX 6000, enabling faster AI training and inference. At 130W TDP, it fits power-sensitive systems, and cloud pricing from $0.09 per hour across nine providers offers cost-effective access without on-premises hardware.
Use Cases
The RTX 4000 Ada's 26.7 TFLOPS FP16 performance exceeds the Quadro RTX 6000's 16.3 TFLOPS, speeding up training iterations. Its cloud pricing from $0.09 per hour supports scalable runs despite slightly less 20 GB VRAM.
Higher 26.7 TFLOPS FP32 on RTX 4000 Ada delivers 64 percent faster inference than 16.3 TFLOPS on Quadro RTX 6000. Lower 130W TDP enables efficient high-throughput serving.
Quadro RTX 6000's 24 GB VRAM handles larger models than RTX 4000 Ada's 20 GB. RTX 4000 Ada's 26.7 TFLOPS provides quicker fine-tuning cycles.
RTX 4000 Ada's Ada Lovelace architecture and 26.7 TFLOPS outperform Turing-based Quadro RTX 6000 in generative tasks. Cloud access at average $0.22 per hour facilitates experimentation.
Quadro RTX 6000's 672 GB/s bandwidth and 24 GB VRAM support larger simulations better than RTX 4000 Ada's 360 GB/s and 20 GB. NVLink aids multi-GPU scientific clusters.
Frequently Asked Questions
Which GPU has more VRAM?▾
The Quadro RTX 6000 provides 24 GB GDDR6 VRAM, exceeding the RTX 4000 Ada's 20 GB. This advantage suits memory-intensive tasks like large model loading. Bandwidth also favors Quadro RTX 6000 at 672 GB/s over 360 GB/s.
What are the FP32 performance differences?▾
RTX 4000 Ada achieves 26.7 TFLOPS FP32, 64 percent higher than Quadro RTX 6000's 16.3 TFLOPS. This boosts training and inference speeds significantly. Both match FP16 at these rates.
How do power consumptions compare?▾
RTX 4000 Ada uses 130W TDP, half of Quadro RTX 6000's 260W. Lower power enables denser deployments. Efficiency stems from Ada Lovelace architecture advances.
Is cloud pricing available for these GPUs?▾
RTX 4000 Ada offers from $0.09 per hour, averaging $0.22 across nine providers. Quadro RTX 6000 has no live cloud offers currently. This makes RTX 4000 Ada more accessible for rentals.
Which supports NVLink?▾
Quadro RTX 6000 includes NVLink for multi-GPU connectivity, unlike RTX 4000 Ada. This benefits scaled professional workflows. Both use PCIe form factor.
What architectures do they use?▾
Quadro RTX 6000 employs Turing from 2018, while RTX 4000 Ada uses Ada Lovelace from 2023. Newer architecture yields 26.7 TFLOPS versus 16.3 TFLOPS. Both target workstation applications.
Which is cheaper to rent, the Quadro RTX 6000 or the RTX 4000 Ada?▾
Cloud rental prices for both the Quadro RTX 6000 and RTX 4000 Ada 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 4000 Ada?▾
The Quadro RTX 6000 has 24 GB of GDDR6 memory. The RTX 4000 Ada has 20 GB of GDDR6 memory.
Can I find Quadro RTX 6000 and RTX 4000 Ada 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 4000 Ada?▾
The Quadro RTX 6000 uses the Turing architecture (2018) while the RTX 4000 Ada uses Ada Lovelace (2023). The RTX 4000 Ada delivers 1.6x the FP16 throughput and 1.9x the memory bandwidth of the Quadro RTX 6000.