Specifications Compared
| Spec | RTX-4080 | V100 |
|---|---|---|
| TDP | 320W | 300W |
| VRAM | 16 GB | 16-32 GB |
| CUDA Cores | 9,728 | 5,120 |
| Memory Type | GDDR6X | HBM2 |
| Architecture | Ada Lovelace | Volta |
| Form Factors | PCIe | SXM2, PCIe |
| Interconnect | NVLink, PCIe 3.0 | |
| Tensor Cores | 304 | 640 |
| FP16 Performance | 48.7 TFLOPS | 125 TFLOPS |
| FP32 Performance | 48.7 TFLOPS | 15.7 TFLOPS |
| INT8 Performance | 780 TOPS | |
| Memory Bandwidth | 717 GB/s | 900 GB/s |
Performance Analysis
The FP16 performance disparity defines key workloads: the V100's 125 TFLOPS excels in mixed-precision training where tensor cores dominate, enabling faster convergence on large models compared to the RTX 4080's 48.7 TFLOPS. Inference benefits from the RTX 4080's equal FP16 and FP32 at 48.7 TFLOPS each, supporting FP32-heavy serving without the V100's imbalance at 15.7 TFLOPS FP32. Memory bandwidth impacts batch sizes directly: the V100's 900 GB/s HBM2 handles larger batches in memory-bound scenarios like transformer training, reducing overhead versus the RTX 4080's 717 GB/s GDDR6X. The V100's 32 GB VRAM doubles the RTX 4080's 16 GB, accommodating bigger models or datasets without swapping. TDP values are close at 300W for V100 and 320W for RTX 4080, but the V100's NVLink interconnect scales multi-GPU setups better than the RTX 4080's PCIe-only form factor. Newer Ada Lovelace optimizations in the RTX 4080 yield superior efficiency per watt in modern software stacks.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4080
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4080 SUPER 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr | |||
RunPod | NVIDIA GeForce RTX 4080 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr |
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 4080
Choose the RTX 4080 for cost-sensitive inference and fine-tuning tasks where FP32 performance matters: its 48.7 TFLOPS matches FP16, outperforming the V100's 15.7 TFLOPS FP32. At from $0.11/hr versus $0.29/hr, it delivers better value for single-GPU cloud rentals across five offers. Modern frameworks leverage Ada Lovelace for gaming-adjacent AI like Stable Diffusion, where 16 GB GDDR6X suffices.
When to Choose the Tesla V100 32GB
Select the V100 32GB for high-FP16 training workloads: 125 TFLOPS accelerates mixed-precision on large LLMs, with 900 GB/s bandwidth supporting massive batch sizes. Its 32 GB HBM2 and NVLink enable multi-GPU scaling unavailable on the RTX 4080. Legacy Volta-optimized codebases run natively, justifying $0.29/hr pricing across 42 offers.
Use Cases
The V100's 125 TFLOPS FP16 and 900 GB/s bandwidth excel in mixed-precision training for large models. Its 32 GB HBM2 supports bigger batches than the RTX 4080's 16 GB.
RTX 4080's balanced 48.7 TFLOPS FP16/FP32 handles FP32-dominant serving efficiently. Lower pricing at $0.11/hr makes it ideal for high-throughput inference.
RTX 4080's 48.7 TFLOPS FP32 surpasses V100's 15.7 TFLOPS for parameter-efficient tuning. Cost savings average $0.26/hr versus $1.01/hr suit iterative workflows.
Ada Lovelace architecture optimizes image generation with 48.7 TFLOPS performance. 16 GB VRAM meets typical needs at lower $0.11/hr entry pricing.
RTX 4080 offers strong FP32 at 48.7 TFLOPS for simulations; V100 provides 32 GB VRAM and NVLink for parallel HPC. Choice depends on multi-GPU scale.
Frequently Asked Questions
Which has more VRAM: RTX 4080 or V100 32GB?▾
The V100 32GB provides 32 GB HBM2, doubling the RTX 4080's 16 GB GDDR6X. This benefits memory-intensive tasks like large-batch training. RTX 4080 suffices for most inference with lower costs from $0.11/hr.
How do FP16 performances compare between RTX 4080 and V100?▾
V100 delivers 125 TFLOPS FP16, far exceeding RTX 4080's 48.7 TFLOPS. V100 suits FP16-heavy training; RTX 4080 balances with equal FP32. Bandwidth aids V100 at 900 GB/s versus 717 GB/s.
What is the cloud pricing difference?▾
RTX 4080 starts at $0.11/hr (average $0.26/hr) across five offers; V100 32GB at $0.29/hr (average $1.01/hr) across 42 offers. RTX 4080 offers better value for general AI. Availability favors V100.
Is RTX 4080 or V100 better for multi-GPU setups?▾
V100 supports NVLink and SXM2/PCIe forms for scaling. RTX 4080 limits to PCIe without native multi-GPU links. V100's interconnect suits clusters despite higher TDP proximity at 300W versus 320W.
Which GPU has higher memory bandwidth?▾
V100 achieves 900 GB/s with HBM2, topping RTX 4080's 717 GB/s GDDR6X. This enables larger batches on V100. RTX 4080 compensates with 2022 architecture efficiencies.
When was each GPU released?▾
RTX 4080 launched in 2022 with Ada Lovelace; V100 in 2017 with Volta. Five-year gap means RTX 4080 runs modern software better. V100 retains value in FP16 at 125 TFLOPS.
Which is cheaper to rent, the RTX 4080 or the V100?▾
Cloud rental prices for both the RTX 4080 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 4080 have compared to the V100?▾
The RTX 4080 has 16 GB of GDDR6X memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find RTX 4080 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 4080 and the V100?▾
The RTX 4080 uses the Ada Lovelace architecture (2022) while the V100 uses Volta (2017). The V100 delivers 2.6x the FP16 throughput and 1.3x the memory bandwidth of the RTX 4080.