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
Architectural differences profoundly impact real-world performance. The V100's 125 TFLOPS FP16 capability excels in mixed-precision training, enabling faster convergence than the RTX 4080's 48.7 TFLOPS FP16. However, the RTX 4080's balanced 48.7 TFLOPS FP32 outperforms the V100's 15.7 TFLOPS FP32, benefiting single-precision inference and simulations.
Memory bandwidth influences batch sizes directly: the V100's 900 GB/s HBM2 supports larger batches in memory-bound tasks compared to the RTX 4080's 717 GB/s GDDR6X. This advantage persists in multi-GPU setups via the V100's NVLink interconnect, absent on the PCIe-only RTX 4080.
Power efficiency varies by workload. The V100's lower 300W TDP aids dense clusters, while the RTX 4080's 320W suits versatile cloud instances. Overall, the V100 dominates FP16-heavy training, but the RTX 4080 prevails in balanced or FP32-dominant scenarios.
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 |
V100
| 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
The RTX 4080 suits modern inference and fine-tuning workloads requiring FP32 performance. Its 48.7 TFLOPS FP32 exceeds the V100's 15.7 TFLOPS, accelerating tasks like real-time AI serving. Average cloud pricing at $0.28 per hour across 8 offers provides cost savings over the V100's $0.94 average.
Users benefit from Ada Lovelace optimizations in newer frameworks, avoiding legacy compatibility issues with Volta.
When to Choose the V100
The V100 excels in large-scale FP16 training where its 125 TFLOPS throughput doubles the RTX 4080's 48.7 TFLOPS. Higher 900 GB/s bandwidth and up to 32 GB HBM2 VRAM handle massive batches effectively.
NVLink interconnect and SXM2 form factor enable efficient multi-GPU scaling in established HPC environments, despite higher average pricing of $0.94 per hour.
Use Cases
The V100's 125 TFLOPS FP16 significantly outpaces the RTX 4080's 48.7 TFLOPS, speeding mixed-precision training. Its 900 GB/s bandwidth supports larger models.
The RTX 4080's 48.7 TFLOPS FP32 doubles the V100's 15.7 TFLOPS for efficient serving. Lower average pricing at $0.28 per hour enhances cost-effectiveness.
Balanced compute at 48.7 TFLOPS FP16 and FP32 suits iterative tuning better than V100's FP32 weakness. Newer Ada architecture aligns with current libraries.
RTX 4080's equal FP16/FP32 performance at 48.7 TFLOPS optimizes image generation pipelines. Consumer-grade features boost creative workflows.
V100's NVLink and 900 GB/s bandwidth enable multi-GPU simulations. Higher VRAM options up to 32 GB handle complex datasets.
Frequently Asked Questions
Which GPU has higher FP16 performance?▾
The V100 delivers 125 TFLOPS FP16, far exceeding the RTX 4080's 48.7 TFLOPS. This makes the V100 preferable for FP16-dominant training tasks. FP32 performance reverses with RTX 4080 at 48.7 TFLOPS versus V100's 15.7 TFLOPS.
How do memory bandwidths compare?▾
V100 provides 900 GB/s with HBM2, surpassing RTX 4080's 717 GB/s GDDR6X. Higher bandwidth on V100 allows larger batch sizes in memory-intensive workloads. VRAM capacities are 16-32 GB for V100 and 16 GB for RTX 4080.
What are the current cloud prices?▾
RTX 4080 starts at $0.11 per hour with $0.28 average across 8 offers. V100 begins at $0.10 per hour but averages $0.94 across 72 offers. RTX 4080 offers better value for most users.
Which has lower power consumption?▾
V100 consumes 300W TDP compared to RTX 4080's 320W. This slight edge aids power-sensitive deployments. Both support PCIe, but V100 adds SXM2 and NVLink.
Is RTX 4080 newer than V100?▾
RTX 4080 uses 2022 Ada Lovelace architecture, while V100 relies on 2017 Volta. Newer design brings balanced compute to RTX 4080. V100 retains strengths in legacy HPC.
Can V100 scale better in clusters?▾
V100's NVLink interconnect outperforms RTX 4080's PCIe for multi-GPU communication. This benefits large-scale training with 125 TFLOPS FP16 per GPU. RTX 4080 suits single-node tasks.
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.