Specifications Compared
| Spec | RTX-5080 | V100 |
|---|---|---|
| TDP | 360W | 300W |
| VRAM | 16 GB | 16-32 GB |
| CUDA Cores | 10,752 | 5,120 |
| Memory Type | GDDR7 | HBM2 |
| Architecture | Blackwell | Volta |
| Form Factors | PCIe | SXM2, PCIe |
| Interconnect | NVLink, PCIe 3.0 | |
| Tensor Cores | 336 | 640 |
| FP16 Performance | 56.3 TFLOPS | 125 TFLOPS |
| FP32 Performance | 56.3 TFLOPS | 15.7 TFLOPS |
| INT8 Performance | 900 TOPS | |
| Memory Bandwidth | 960 GB/s | 900 GB/s |
Performance Analysis
Key specification differences impact real-world workloads significantly. The V100 delivers 125 TFLOPS in FP16, far exceeding the RTX 5080's 56.3 TFLOPS, making it suitable for half-precision training where tensor cores accelerate mixed-precision computations. However, its FP32 performance lags at 15.7 TFLOPS compared to the RTX 5080's 56.3 TFLOPS, limiting efficiency in single-precision inference or simulations requiring full precision.
Memory bandwidth plays a critical role in batch processing: the RTX 5080's 960 GB/s edges out the V100's 900 GB/s, enabling slightly larger batch sizes in memory-bound tasks like large language model inference. Yet, the V100's 32 GB HBM2 VRAM surpasses the RTX 5080's 16 GB GDDR7, accommodating bigger models or datasets without swapping. The Blackwell architecture introduces modern features like improved ray tracing and AI optimizations absent in Volta, enhancing overall efficiency despite the higher 360 W TDP versus 300 W.
These deltas mean the V100 suits legacy FP16-heavy training pipelines, while the RTX 5080 excels in balanced, contemporary workflows with better FP32 scalability.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 5080
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 5080 16GB VRAM | 16GB | 0 vCPU 0GB RAM | 🌍global | $0.59/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 5080
Opt for the RTX 5080 in scenarios demanding balanced FP16 and FP32 performance at 56.3 TFLOPS each, such as modern inference, gaming simulations, or Stable Diffusion workloads. Its 960 GB/s bandwidth and Blackwell architecture support efficient PCIe deployments in cloud environments, with pricing from $0.25 per hour averaging $0.38 per hour across 4 offers, offering strong value for new projects.
When to Choose the Tesla V100 32GB
Choose the V100 32 GB for FP16-dominant training tasks leveraging its 125 TFLOPS throughput and 32 GB HBM2 VRAM, ideal for large-batch legacy machine learning optimized for Volta. NVLink interconnect enables multi-GPU scaling unavailable on the RTX 5080, and abundant availability across 44 cloud offers starting at $0.29 per hour suits high-volume, cost-sensitive legacy deployments.
Use Cases
The V100's 125 TFLOPS FP16 performance and 32 GB HBM2 VRAM handle large-scale training batches effectively. Its NVLink support facilitates multi-GPU setups common in LLM training.
The RTX 5080's balanced 56.3 TFLOPS FP32 and 960 GB/s bandwidth optimize real-time inference with lower latency. Blackwell architecture provides superior efficiency for deployment-scale serving.
RTX 5080 delivers 56.3 TFLOPS FP32 for precise fine-tuning tasks alongside cost savings at $0.38 per hour average. Its PCIe form factor simplifies single-node cloud usage.
Blackwell's advancements suit generative AI like Stable Diffusion with 56.3 TFLOPS balanced compute and 960 GB/s bandwidth for fast image generation. Lower TDP efficiency aids prolonged rendering sessions.
V100's 32 GB VRAM and NVLink excel in multi-GPU simulations, while RTX 5080's 56.3 TFLOPS FP32 handles single-precision HPC tasks cost-effectively at $0.38 per hour average.
Frequently Asked Questions
What is the VRAM difference between RTX 5080 and V100 32 GB?▾
The RTX 5080 has 16 GB GDDR7 VRAM, while the V100 offers 32 GB HBM2. This makes the V100 better for memory-intensive models exceeding 16 GB. Bandwidth favors the RTX 5080 at 960 GB/s over 900 GB/s.
How do FP16 and FP32 performances compare?▾
RTX 5080 provides 56.3 TFLOPS for both FP16 and FP32, ensuring balance. V100 achieves 125 TFLOPS FP16 but only 15.7 TFLOPS FP32. Use V100 for FP16 training, RTX 5080 for FP32 workloads.
What are the current cloud pricing differences?▾
RTX 5080 starts at $0.25 per hour averaging $0.38 per hour across 4 offers. V100 32 GB begins at $0.29 per hour but averages $1.01 per hour across 44 offers. RTX 5080 offers better average value.
Which has higher power consumption?▾
The RTX 5080 TDP is 360 W, higher than the V100's 300 W. This reflects denser compute in Blackwell versus Volta efficiency. Consider cooling in dense cloud deployments.
What architectures do they use?▾
RTX 5080 uses Blackwell from 2025 with modern AI features. V100 employs Volta from 2017 optimized for tensor operations. Newer architecture provides RTX 5080 future-proofing.
Which supports multi-GPU interconnects better?▾
V100 includes NVLink and PCIe 3.0 for scalable multi-GPU setups. RTX 5080 relies on PCIe alone. Choose V100 for distributed training requiring high-bandwidth links.
Which is cheaper to rent, the RTX 5080 or the V100?▾
Cloud rental prices for both the RTX 5080 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 5080 have compared to the V100?▾
The RTX 5080 has 16 GB of GDDR7 memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find RTX 5080 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 5080 and the V100?▾
The RTX 5080 uses the Blackwell architecture (2025) while the V100 uses Volta (2017). The V100 delivers 2.2x the FP16 throughput and 1.1x the memory bandwidth of the RTX 5080.