Specifications Compared
| Spec | RTX-2080 | V100 |
|---|---|---|
| TDP | 215W | 300W |
| VRAM | 8-11 GB | 16-32 GB |
| CUDA Cores | 2,944 | 5,120 |
| Memory Type | GDDR6 | HBM2 |
| Architecture | Turing | Volta |
| Form Factors | PCIe | SXM2, PCIe |
| Interconnect | NVLink | NVLink, PCIe 3.0 |
| Tensor Cores | 368 | 640 |
| FP16 Performance | 10.1 TFLOPS | 125 TFLOPS |
| FP32 Performance | 10.1 TFLOPS | 15.7 TFLOPS |
| Memory Bandwidth | 616 GB/s | 900 GB/s |
Performance Analysis
The V100's 125 TFLOPS FP16 performance vastly exceeds the RTX 2080 Ti's 10.1 TFLOPS: this gap accelerates deep learning training and inference using half-precision formats, which dominate modern workflows. FP32 throughput at 15.7 TFLOPS on V100 outpaces 10.1 TFLOPS on RTX 2080 Ti, aiding traditional scientific simulations. Memory bandwidth defines practical limits: V100's 900 GB/s handles larger batch sizes in memory-intensive tasks like transformer models, where RTX 2080 Ti's 616 GB/s causes bottlenecks sooner. V100's 16 GB HBM2 VRAM supports bigger models than RTX 2080 Ti's 11 GB GDDR6, though higher 300W TDP demands robust cooling versus 215W. These specs position V100 for heavy AI compute, RTX 2080 Ti for balanced lighter loads.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 2080 Ti
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA GeForce RTX 2080 Ti 11GB VRAM | 11GB | 32 vCPU 63GB RAM 1273GB Storage | Maryland | $0.13/GPU/hr | 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 RTX 2080 Ti
The RTX 2080 Ti excels in budget-conscious setups. Its cloud pricing from $0.06 per hour average $0.11 per hour undercuts V100 16GB's $0.10 to $0.82 per hour, ideal for prototyping or inference on smaller models. Lower 215W TDP suits edge deployments or shared clusters. Gaming-adjacent tasks leverage Turing RT cores absent in Volta.
When to Choose the Tesla V100 16GB
The V100 16GB dominates demanding AI training. Superior 125 TFLOPS FP16 and 900 GB/s bandwidth enable efficient large-batch processing, crucial for LLMs. 16 GB HBM2 VRAM accommodates complex datasets where 11 GB GDDR6 falls short. Datacenter form factors like SXM2 integrate seamlessly in high-performance clusters.
Use Cases
V100's 125 TFLOPS FP16 outperforms RTX 2080 Ti's 10.1 TFLOPS by over 12 times, speeding large model training. Higher 900 GB/s bandwidth handles massive batches.
V100's 16 GB HBM2 and 125 TFLOPS FP16 enable efficient serving of bigger models than RTX 2080 Ti's 11 GB GDDR6. Bandwidth advantage reduces latency.
RTX 2080 Ti suffices for small datasets at low $0.06 per hour cost. V100 accelerates with 15.7 TFLOPS FP32 for larger fine-tunes.
RTX 2080 Ti's Turing RT cores optimize image generation tasks. Lower 215W TDP and $0.11 per hour average fit iterative creative workflows.
V100's 15.7 TFLOPS FP32 and NVLink interconnect excel in simulations. 300W TDP supports sustained high-precision calculations.
Frequently Asked Questions
Which GPU has more VRAM: RTX 2080 Ti or V100 16GB?▾
The V100 16GB provides 16 GB HBM2 VRAM. RTX 2080 Ti offers 11 GB GDDR6. This makes V100 better for memory-heavy models.
RTX 2080 Ti vs V100: which is faster for AI training?▾
V100 leads with 125 TFLOPS FP16 versus 10.1 TFLOPS on RTX 2080 Ti. FP32 stands at 15.7 TFLOPS for V100 and 10.1 TFLOPS for RTX 2080 Ti. Training times drop significantly on V100.
What are the cloud prices for RTX 2080 Ti and V100 16GB?▾
RTX 2080 Ti starts at $0.06 per hour average $0.11 per hour across 6 offers. V100 16GB begins at $0.10 per hour average $0.82 per hour across 27 offers. RTX 2080 Ti provides better value for light use.
Does RTX 2080 Ti or V100 have higher memory bandwidth?▾
V100 achieves 900 GB/s with HBM2. RTX 2080 Ti reaches 616 GB/s on GDDR6. V100 supports larger batches in deep learning.
Which GPU uses less power: RTX 2080 Ti or V100?▾
RTX 2080 Ti has 215W TDP. V100 requires 300W. RTX 2080 Ti fits power-limited environments better.
Can RTX 2080 Ti replace V100 for deep learning?▾
RTX 2080 Ti works for small-scale tasks with 10.1 TFLOPS FP16. V100's 125 TFLOPS FP16 proves essential for production training. Replacement depends on model size.
Which is cheaper to rent, the RTX 2080 or the V100?▾
Cloud rental prices for both the RTX 2080 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 RTX 2080 have compared to the V100?▾
The RTX 2080 has 8 to 11 GB of GDDR6 memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find RTX 2080 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 RTX 2080 and the V100?▾
The RTX 2080 uses the Turing architecture (2018) while the V100 uses Volta (2017). The V100 delivers 12.4x the FP16 throughput and 1.5x the memory bandwidth of the RTX 2080.