Specifications Compared
| Spec | RTX-3080 | V100 |
|---|---|---|
| TDP | 320W | 300W |
| VRAM | 10-12 GB | 16-32 GB |
| CUDA Cores | 8,704 | 5,120 |
| Memory Type | GDDR6X | HBM2 |
| Architecture | Ampere | Volta |
| Form Factors | PCIe | SXM2, PCIe |
| Interconnect | NVLink, PCIe 3.0 | |
| Tensor Cores | 272 | 640 |
| FP16 Performance | 29.8 TFLOPS | 125 TFLOPS |
| FP32 Performance | 29.8 TFLOPS | 15.7 TFLOPS |
| Memory Bandwidth | 760 GB/s | 900 GB/s |
Performance Analysis
FP16 performance defines a key disparity: the V100 reaches 125 TFLOPS, far exceeding the RTX 3080 Ti's 29.8 TFLOPS. This advantage accelerates mixed-precision training, where FP16 computations speed up neural network optimization without sacrificing much accuracy. In real-world training, V100 handles larger models efficiently due to this tensor core prowess.
The RTX 3080 Ti balances FP16 and FP32 at 29.8 TFLOPS each, making it suitable for inference workloads that rely on FP32 precision. Memory specs impact batch sizes: V100's 900 GB/s bandwidth and up to 32 GB HBM2 support bigger batches in memory-bound tasks compared to RTX 3080 Ti's 760 GB/s and 12 GB GDDR6X. Power draw is close, with 320W TDP for RTX 3080 Ti versus 300W for V100.
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 RTX 3080 Ti
Select the RTX 3080 Ti for budget-conscious machine learning inference or generative tasks. Its pricing from $0.08 per hour delivers strong 29.8 TFLOPS FP32 performance, ideal when 12 GB VRAM meets needs. Newer Ampere architecture ensures better software support and efficiency in PCIe form factors.
When to Choose the Tesla V100 32GB
Choose the V100 32GB for memory-intensive training of large models. Its 32 GB HBM2 VRAM and 900 GB/s bandwidth enable substantial batch sizes, while 125 TFLOPS FP16 boosts mixed-precision workflows. NVLink interconnect aids multi-GPU scientific simulations.
Use Cases
V100's 125 TFLOPS FP16 and 32 GB HBM2 handle large language model training with high throughput and memory capacity. RTX 3080 Ti's 12 GB VRAM limits batch sizes for big models.
RTX 3080 Ti's balanced 29.8 TFLOPS FP16 and FP32 suits efficient inference at low cost of $0.08 per hour. V100's higher price does not justify use for smaller inference batches.
RTX 3080 Ti works for models fitting in 12 GB VRAM with 29.8 TFLOPS performance. V100 excels if 32 GB or 125 TFLOPS FP16 is required for larger datasets.
RTX 3080 Ti's Ampere architecture and 760 GB/s bandwidth accelerate image generation tasks effectively. Consumer pricing at $0.14 per hour average provides value over V100.
V100's 900 GB/s HBM2 bandwidth and NVLink support large-scale simulations. Its 125 TFLOPS FP16 outperforms RTX 3080 Ti in HPC workloads.
Frequently Asked Questions
Which GPU has more VRAM?▾
The V100 32GB provides 16 to 32 GB of HBM2 VRAM. RTX 3080 Ti offers 10 to 12 GB GDDR6X. This makes V100 better for memory-heavy tasks.
What is the price difference?▾
RTX 3080 Ti pricing starts at $0.08 per hour, averaging $0.14 per hour across four offers. V100 32GB begins at $0.29 per hour, averaging $1.01 per hour across 46 offers.
Which is better for FP16 training?▾
V100 delivers 125 TFLOPS FP16, surpassing RTX 3080 Ti's 29.8 TFLOPS. It accelerates mixed-precision training significantly.
How do memory bandwidths compare?▾
V100 achieves 900 GB/s with HBM2. RTX 3080 Ti reaches 760 GB/s with GDDR6X. Higher bandwidth on V100 supports larger batch sizes.
What are the architectures and release years?▾
RTX 3080 Ti uses Ampere from 2020. V100 employs Volta from 2017. Ampere provides newer features for consumer ML.
Which has lower TDP?▾
V100 has 300W TDP. RTX 3080 Ti requires 320W. Both suit dense cloud deployments.
Which is cheaper to rent, the RTX 3080 or the V100?▾
Cloud rental prices for both the RTX 3080 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 3080 have compared to the V100?▾
The RTX 3080 has 10 to 12 GB of GDDR6X memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find RTX 3080 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 3080 and the V100?▾
The RTX 3080 uses the Ampere architecture (2020) while the V100 uses Volta (2017). The V100 delivers 4.2x the FP16 throughput and 1.2x the memory bandwidth of the RTX 3080.