Specifications Compared
| Spec | QUADRO-RTX-6000 | V100 |
|---|---|---|
| TDP | 260W | 300W |
| VRAM | 24 GB | 16-32 GB |
| CUDA Cores | 4,608 | 5,120 |
| Memory Type | GDDR6 | HBM2 |
| Architecture | Turing | Volta |
| Form Factors | PCIe | SXM2, PCIe |
| Interconnect | NVLink | NVLink, PCIe 3.0 |
| Tensor Cores | 576 | 640 |
| FP16 Performance | 16.3 TFLOPS | 125 TFLOPS |
| FP32 Performance | 16.3 TFLOPS | 15.7 TFLOPS |
| Memory Bandwidth | 672 GB/s | 900 GB/s |
Performance Analysis
The V100's 125 TFLOPS FP16 performance vastly outpaces the RTX 6000's 16.3 TFLOPS: this gap accelerates deep learning training with mixed precision, cutting memory demands by half and boosting iteration speed. FP32 throughput remains close at 15.7 TFLOPS for V100 and 16.3 TFLOPS for RTX 6000, balancing traditional simulations.
V100's 900 GB/s bandwidth exceeds RTX 6000's 672 GB/s, enabling larger batch sizes in model training and reducing I/O bottlenecks for higher throughput. The 32 GB HBM2 capacity supports bigger models than 24 GB GDDR6, with HBM2's efficiency aiding data-heavy inference. RTX 6000's Turing Tensor Cores provide capable FP16 but lag in raw speed for Tensor Core-optimized workloads.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Tesla V100 32GB
| 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 6000
Select the Quadro RTX 6000 for visualization workflows demanding ray tracing, as Turing RT Cores enable real-time rendering unavailable on Volta. Its 260W TDP suits power-limited workstations, and PCIe form factor simplifies standalone deployments. Balanced 16.3 TFLOPS FP16 and FP32 favor graphics-compute hybrids without cloud dependency.
When to Choose the Tesla V100 32GB
Choose the Tesla V100 32GB for AI training where 125 TFLOPS FP16 drives mixed-precision speedups, far beyond RTX 6000's 16.3 TFLOPS. Superior 900 GB/s bandwidth and 32 GB HBM2 handle large batches and models efficiently. Cloud pricing from $0.29 per hour across 46 offers provides scalable, economical access.
Use Cases
V100's 125 TFLOPS FP16 excels in mixed-precision training of large language models. Its 900 GB/s bandwidth supports massive batches.
FP32 rates are similar at 15.7 TFLOPS for V100 and 16.3 TFLOPS for RTX 6000. V100's higher bandwidth aids high-throughput serving.
V100's Tensor Core FP16 at 125 TFLOPS speeds fine-tuning iterations. 32 GB HBM2 accommodates larger models than 24 GB GDDR6.
RTX 6000's Turing RT Cores accelerate diffusion rendering. Balanced FP32 at 16.3 TFLOPS suits generation tasks.
Comparable FP32 performance of 15.7 TFLOPS on V100 and 16.3 TFLOPS on RTX 6000 handles simulations. V100 edges in bandwidth.
Frequently Asked Questions
What is the FP16 performance difference between Quadro RTX 6000 and V100?▾
The V100 achieves 125 TFLOPS FP16, while RTX 6000 delivers 16.3 TFLOPS. This makes V100 ideal for mixed-precision AI training.
How much VRAM do these GPUs have?▾
RTX 6000 offers 24 GB GDDR6; V100 provides 32 GB HBM2. V100's capacity suits larger models.
What are the memory bandwidth specs?▾
V100 has 900 GB/s bandwidth versus RTX 6000's 672 GB/s. Higher bandwidth on V100 enables bigger batch sizes.
Is cloud pricing available for these GPUs?▾
V100 32GB starts at $0.29 per hour, averaging $1.01 per hour across 46 offers. RTX 6000 has no live offers.
What are the TDP ratings?▾
RTX 6000 consumes 260W; V100 requires 300W. Lower TDP favors RTX 6000 in workstations.
Do both support NVLink?▾
Yes, both GPUs feature NVLink interconnects. V100 additionally supports PCIe 3.0.
Which is cheaper to rent, the Quadro RTX 6000 or the V100?▾
Cloud rental prices for both the Quadro RTX 6000 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 6000 have compared to the V100?▾
The Quadro RTX 6000 has 24 GB of GDDR6 memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find Quadro RTX 6000 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 6000 and the V100?▾
The Quadro RTX 6000 uses the Turing architecture (2018) while the V100 uses Volta (2017). The V100 delivers 7.7x the FP16 throughput and 1.3x the memory bandwidth of the Quadro RTX 6000.