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 training efficiency: V100 achieves 125 TFLOPS, far exceeding RTX 3080's 29.8 TFLOPS, enabling faster mixed-precision training for large models. In contrast, FP32 parity at 29.8 TFLOPS on RTX 3080 surpasses V100's 15.7 TFLOPS, favoring inference or simulations requiring single-precision compute. Memory bandwidth impacts data throughput: V100's 900 GB/s supports larger batch sizes than RTX 3080's 760 GB/s, reducing bottlenecks in memory-intensive workloads. HBM2 on V100 provides lower latency access compared to GDDR6X on RTX 3080, benefiting scientific computing. VRAM capacity allows V100's 32 GB to handle bigger models without swapping, while RTX 3080's 10 to 12 GB limits scale. TDP values of 320W and 300W suggest similar power efficiency in clusters. NVLink on V100 accelerates multi-GPU scaling over RTX 3080's PCIe.
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
RTX 3080 suits budget-conscious users for inference-heavy tasks. Its $0.06 per hour starting price and 29.8 TFLOPS FP32 make it ideal for Stable Diffusion or real-time applications where cost averages $0.17 per hour. Modern Ampere architecture ensures compatibility with recent software stacks.
When to Choose the Tesla V100 32GB
V100 excels in high-VRAM training scenarios. With 32 GB HBM2 and 125 TFLOPS FP16, it manages large batch sizes via 900 GB/s bandwidth, despite higher $0.29 per hour cost. NVLink supports multi-GPU HPC environments.
Use Cases
V100's 125 TFLOPS FP16 accelerates mixed-precision training. Its 32 GB HBM2 handles large models better than RTX 3080's 10 to 12 GB.
RTX 3080's 29.8 TFLOPS FP32 matches its FP16 for efficient serving. Lower pricing at $0.06 per hour suits high-throughput needs.
Both offer strong FP16: 125 TFLOPS on V100 or 29.8 TFLOPS on RTX 3080. Choice depends on VRAM: 32 GB for V100 or cost for RTX 3080.
RTX 3080's Ampere architecture optimizes image generation at 29.8 TFLOPS. Affordable $0.17 per hour average fits iterative creative workflows.
V100's 900 GB/s bandwidth and NVLink enable large simulations. 32 GB VRAM supports complex datasets over RTX 3080's 760 GB/s.
Frequently Asked Questions
Which GPU has more VRAM?▾
V100 provides 16 to 32 GB HBM2, exceeding RTX 3080's 10 to 12 GB GDDR6X. This allows V100 to load larger models without issues. RTX 3080 suffices for smaller datasets.
What is the FP16 performance difference?▾
V100 delivers 125 TFLOPS FP16, over four times RTX 3080's 29.8 TFLOPS. V100 excels in training. RTX 3080 balances with equal FP32.
How do prices compare in the cloud?▾
RTX 3080 starts at $0.06 per hour, averaging $0.17 across 6 offers. V100 begins at $0.29 per hour, averaging $1.01 across 46 offers. RTX 3080 offers better value.
Which has higher memory bandwidth?▾
V100 achieves 900 GB/s, surpassing RTX 3080's 760 GB/s. This benefits batch processing on V100. Both handle standard workloads effectively.
What are the TDP ratings?▾
RTX 3080 consumes 320W TDP, while V100 uses 300W. Power needs remain similar in deployments. Efficiency depends on workload type.
Does V100 support NVLink?▾
V100 includes NVLink and PCIe 3.0 interconnects for multi-GPU setups. RTX 3080 relies on PCIe alone. NVLink boosts V100 scaling.
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.