Specifications Compared
| Spec | QUADRO-RTX-4000 | V100 |
|---|---|---|
| TDP | 160W | 300W |
| VRAM | 8 GB | 16-32 GB |
| CUDA Cores | 2,304 | 5,120 |
| Memory Type | GDDR6 | HBM2 |
| Architecture | Turing | Volta |
| Form Factors | PCIe | SXM2, PCIe |
| Interconnect | NVLink, PCIe 3.0 | |
| Tensor Cores | 288 | 640 |
| FP16 Performance | 7.1 TFLOPS | 125 TFLOPS |
| FP32 Performance | 7.1 TFLOPS | 15.7 TFLOPS |
| Memory Bandwidth | 416 GB/s | 900 GB/s |
Performance Analysis
The V100's FP16 throughput reaches 125 TFLOPS, dwarfing the Quadro RTX 4000's 7.1 TFLOPS: this disparity accelerates mixed-precision training in neural networks by up to 17 times, crucial for large-scale deep learning. FP32 performance follows suit at 15.7 TFLOPS for the V100 versus 7.1 TFLOPS, benefiting single-precision inference and simulations. Memory bandwidth presents another gap: 900 GB/s on the V100 supports larger batch sizes in training without memory bottlenecks, whereas 416 GB/s on the Quadro RTX 4000 limits scalability for models exceeding 8 GB VRAM. The V100's 16 GB HBM2 handles datasets that cause out-of-memory errors on the Quadro RTX 4000's 8 GB GDDR6, though the latter's lower 160W TDP versus 300W eases power-constrained setups. Overall, these specs position the V100 for high-throughput AI workloads and the Quadro RTX 4000 for balanced professional rendering.
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 |
Tesla V100 16GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Texas | $0.19/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 0 vCPU 0GB RAM | New York City | $0.19/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 32GB 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Texas | $0.29/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 32GB 32GB VRAM | 32GB | 0 vCPU 0GB RAM | New York City | $0.29/GPU/hr | Available | ||
 Lambda Labs | 8×NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 88 vCPU 448GB RAM 6041GB Storage | Texas | $0.79/GPU/hr $6.32/hr total (8×) | Available |
When to Choose the Quadro RTX 4000
The Quadro RTX 4000 suits visualization-heavy workflows like CAD rendering or real-time graphics where its Turing architecture optimizes ray tracing absent in Volta. With a 160W TDP, it fits edge deployments or smaller clusters avoiding the V100's 300W draw. Cloud users prioritizing consistent $0.56 per hour pricing across fewer but stable offers select it over the V100's variable rates.
When to Choose the Tesla V100 16GB
Opt for the V100 16GB in AI training pipelines demanding 125 TFLOPS FP16 or 900 GB/s bandwidth for massive datasets. Its NVLink interconnect and SXM2 form factor excel in multi-GPU HPC clusters, unavailable on the PCIe-only Quadro RTX 4000. Bargain hunters leverage offers from $0.10 per hour for high-volume compute.
Use Cases
The V100's 125 TFLOPS FP16 and 900 GB/s bandwidth handle large batch sizes for transformer training, far exceeding the Quadro RTX 4000's 7.1 TFLOPS and 416 GB/s.
V100's 16 GB VRAM supports bigger models without swapping, paired with 15.7 TFLOPS FP32 for efficient serving versus the Quadro RTX 4000's 8 GB limit.
High FP16 performance at 125 TFLOPS on V100 speeds mixed-precision fine-tuning, while 900 GB/s bandwidth manages gradients better than the Quadro RTX 4000's specs.
Quadro RTX 4000's Turing architecture aids diffusion model generation with optimized rasterization, sufficient 7.1 TFLOPS FP32 for inference at lower 160W TDP.
V100 delivers 15.7 TFLOPS FP32 and NVLink for parallel simulations, outperforming Quadro RTX 4000 in bandwidth-intensive HPC tasks.
Frequently Asked Questions
Which GPU has more VRAM?▾
The NVIDIA Tesla V100 16GB provides 16 GB HBM2, double the Quadro RTX 4000's 8 GB GDDR6. This enables larger models on V100 without out-of-memory issues. Bandwidth also favors V100 at 900 GB/s over 416 GB/s.
What is the FP16 performance difference?▾
V100 achieves 125 TFLOPS FP16, approximately 17 times the Quadro RTX 4000's 7.1 TFLOPS. This gap accelerates deep learning training significantly. FP32 stands at 15.7 TFLOPS for V100 versus 7.1 TFLOPS.
How do cloud prices compare?▾
Quadro RTX 4000 averages $0.56 per hour across five offers, while V100 16GB starts at $0.10 per hour with an $0.81 average across 25 offers. V100 provides better value for compute-intensive tasks. Prices fluctuate based on providers.
Which has lower power consumption?▾
Quadro RTX 4000 draws 160W TDP, half the V100's 300W. This makes RTX 4000 preferable for power-limited environments. Both support PCIe form factors.
Is V100 newer than Quadro RTX 4000?▾
No: Quadro RTX 4000 uses 2018 Turing architecture, succeeding V100's 2017 Volta. Despite age, V100 excels in raw AI compute with 125 TFLOPS FP16. RTX 4000 targets professional graphics.
Can they interconnect in clusters?▾
V100 supports NVLink and PCIe 3.0 for multi-GPU scaling, unlike the interconnect-less Quadro RTX 4000 which relies on PCIe alone. This aids V100 in HPC. Both fit PCIe slots.
Which is cheaper to rent, the Quadro RTX 4000 or the V100?▾
Cloud rental prices for both the Quadro RTX 4000 and V100 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 V100?▾
The Quadro RTX 4000 has 8 GB of GDDR6 memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find Quadro RTX 4000 and V100 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 V100?▾
The Quadro RTX 4000 uses the Turing architecture (2018) while the V100 uses Volta (2017). The V100 delivers 17.6x the FP16 throughput and 2.2x the memory bandwidth of the Quadro RTX 4000.