Specifications Compared
| Spec | QUADRO-RTX-4000 | RTX-6000-ADA |
|---|---|---|
| TDP | 160W | 300W |
| VRAM | 8 GB | 48 GB |
| CUDA Cores | 2,304 | 18,176 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 288 | 568 |
| FP16 Performance | 7.1 TFLOPS | 91.1 TFLOPS |
| FP32 Performance | 7.1 TFLOPS | 91.1 TFLOPS |
| Memory Bandwidth | 416 GB/s | 960 GB/s |
Performance Analysis
The RTX 6000 Ada's 91.1 TFLOPS FP16 and FP32 performance dwarfs the Quadro RTX 4000's 7.1 TFLOPS by a factor of 12.8: this enables faster neural network training and inference, reducing epochs from days to hours for large models. In training, higher FP16 throughput accelerates gradient computations; for inference, FP32 parity supports precise real-time predictions at scale.
Memory specs define workload feasibility: 48 GB VRAM versus 8 GB allows the RTX 6000 Ada to handle models exceeding 8 GB without splitting, supporting larger batch sizes up to 6x greater. Its 960 GB/s bandwidth, double the 4000's 416 GB/s, minimizes data bottlenecks during high-throughput operations like Stable Diffusion rendering or scientific simulations, enabling smoother scaling.
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 |
RTX 6000 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 16 vCPU 188GB RAM | 🌍global | $0.50/GPU/hr | |||
RunPod | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 10 vCPU 167GB RAM | 🌍global | $0.77/GPU/hr | |||
 Massed Compute | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 12 vCPU 72GB RAM 350GB Storage | Iowa | $0.79/GPU/hr | Available | ||
Massed Compute | 2×NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 26 vCPU 144GB RAM 700GB Storage | Iowa | $0.79/GPU/hr $1.58/hr total (2×) | Available | ||
Massed Compute | 4×NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 52 vCPU 288GB RAM 1400GB Storage | Iowa | $0.79/GPU/hr $3.16/hr total (4×) | Available |
When to Choose the Quadro RTX 4000
The Quadro RTX 4000 excels in budget-constrained environments with light workloads. Its 160W TDP suits power-limited cloud instances, and average pricing of $0.56 per hour across 5 offers undercuts the RTX 6000 Ada's $1.19 average. Choose it for inference on models under 8 GB VRAM or basic visualization where 7.1 TFLOPS suffices without NVLink needs.
When to Choose the RTX 6000 Ada
The RTX 6000 Ada dominates memory-heavy tasks with 48 GB VRAM and 960 GB/s bandwidth. Its 91.1 TFLOPS performance accelerates LLM training and fine-tuning, while NVLink enables multi-GPU scaling absent in the Quadro RTX 4000. Select it despite 300W TDP and higher average $1.19 per hour cost when dealing with large datasets or batches exceeding 8 GB.
Use Cases
The RTX 6000 Ada's 48 GB VRAM and 91.1 TFLOPS FP16 handle large LLMs without splitting batches, unlike the Quadro RTX 4000's 8 GB limit. Its 960 GB/s bandwidth sustains high-throughput training.
91.1 TFLOPS FP32 on RTX 6000 Ada delivers low-latency responses for production inference on big models. The 48 GB VRAM supports concurrent users, exceeding the 4000's 7.1 TFLOPS and 8 GB capacity.
RTX 6000 Ada's 12.8x compute advantage over 7.1 TFLOPS speeds parameter updates on datasets fitting 48 GB. NVLink aids multi-GPU fine-tuning absent in Quadro RTX 4000.
48 GB VRAM and 960 GB/s bandwidth enable high-resolution image generation at scale on RTX 6000 Ada. Quadro RTX 4000's 8 GB restricts batch sizes and quality.
Quadro RTX 4000 suffices for modest simulations with 416 GB/s bandwidth at $0.56 per hour. RTX 6000 Ada's 91.1 TFLOPS excels in complex HPC with large arrays up to 48 GB.
Frequently Asked Questions
What is the VRAM difference between Quadro RTX 4000 and RTX 6000 Ada?▾
The RTX 6000 Ada provides 48 GB GDDR6 VRAM, six times the Quadro RTX 4000's 8 GB. This allows larger models and batch sizes on the Ada. Memory bandwidth follows suit at 960 GB/s versus 416 GB/s.
Which GPU has higher performance in FP32?▾
RTX 6000 Ada achieves 91.1 TFLOPS FP32, 12.8 times the Quadro RTX 4000's 7.1 TFLOPS. This impacts training and simulation speeds directly. FP16 matches this delta at identical ratios.
How do cloud prices compare?▾
Quadro RTX 4000 averages $0.56 per hour across 5 offers, starting at $0.56. RTX 6000 Ada averages $1.19 across 51 offers but starts from $0.20 per hour. Availability favors the Ada with more providers.
What are the power requirements?▾
Quadro RTX 4000 draws 160W TDP, lower than RTX 6000 Ada's 300W. Both use PCIe form factors. Lower TDP aids dense cloud deployments for the 4000.
Which architecture is newer?▾
RTX 6000 Ada uses Ada Lovelace from 2022, versus Turing 2018 on Quadro RTX 4000. Ada includes NVLink interconnect, absent on the 4000. This generational gap drives performance leaps.
Can these GPUs scale with multi-GPU setups?▾
RTX 6000 Ada supports NVLink for efficient multi-GPU communication. Quadro RTX 4000 lacks specified interconnect, limiting PCIe-only scaling. NVLink benefits training large models.
Which is cheaper to rent, the Quadro RTX 4000 or the RTX 6000 Ada?▾
Cloud rental prices for both the Quadro RTX 4000 and RTX 6000 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 4000 have compared to the RTX 6000 Ada?▾
The Quadro RTX 4000 has 8 GB of GDDR6 memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.
Can I find Quadro RTX 4000 and RTX 6000 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 4000 and the RTX 6000 Ada?▾
The Quadro RTX 4000 uses the Turing architecture (2018) while the RTX 6000 Ada uses Ada Lovelace (2022). The RTX 6000 Ada delivers 12.8x the FP16 throughput and 2.3x the memory bandwidth of the Quadro RTX 4000.