Specifications Compared
| Spec | P100 | RTX-4080 |
|---|---|---|
| TDP | 250W | 320W |
| VRAM | 16 GB | 16 GB |
| CUDA Cores | 3,584 | 9,728 |
| Memory Type | HBM2 | GDDR6X |
| Architecture | Pascal | Ada Lovelace |
| Form Factors | SXM2, PCIe | PCIe |
| Interconnect | NVLink | |
| FP16 Performance | 9.3 TFLOPS | 48.7 TFLOPS |
| FP32 Performance | 9.3 TFLOPS | 48.7 TFLOPS |
| FP64 Performance | 4.7 TFLOPS | |
| Memory Bandwidth | 732 GB/s | 717 GB/s |
Performance Analysis
Compute performance defines the core disparity: the RTX 4080 SUPER's 48.7 TFLOPS FP16 and FP32 dwarfs the P100's 9.3 TFLOPS, enabling five times faster matrix operations critical for neural network training and inference. Training large models sees epoch times drop dramatically on Ada Lovelace, while inference latency reduces for real-time applications.
Memory bandwidth shows parity at 717 GB/s versus 732 GB/s, allowing comparable batch sizes in VRAM-limited scenarios like LLM processing with 16 GB constraints. However, Ada Lovelace tensor cores and DLSS-like efficiencies outperform Pascal's capabilities, enhancing throughput beyond raw specs. Higher 320W TDP on RTX 4080 SUPER versus 250W demands more cooling, yet yields density trade-offs in cloud environments.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Tesla P100
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 LeaderGPU | 2×NVIDIA Tesla P100 16GB VRAM | 16GB | 0 vCPU 256GB RAM 960GB Storage | Netherlands | $0.60/GPU/hr $1.20/hr total (2×) | Available |
RTX 4080 SUPER
| 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 |
When to Choose the Tesla P100
Budget constraints favor the P100: its starting cloud price of $0.07/hr beats RTX 4080 SUPER's $0.17/hr by 59 percent, suiting prototyping, small-scale training, or legacy Pascal-optimized code. NVLink interconnect excels in multi-GPU HPC clusters for scalable simulations where 9.3 TFLOPS per GPU suffices.
When to Choose the RTX 4080 SUPER
Performance demands select the RTX 4080 SUPER: 48.7 TFLOPS accelerates modern AI pipelines over P100's 9.3 TFLOPS, ideal for rapid iteration in LLM fine-tuning or diffusion models. Ada Lovelace supports FP8 and advanced ray tracing absent on Pascal, future-proofing workloads at modest $0.15/hr average premium.
Use Cases
RTX 4080 SUPER's 48.7 TFLOPS FP16 outperforms P100's 9.3 TFLOPS, reducing training epochs by over five times for large models.
Higher compute with 48.7 TFLOPS enables lower latency and larger batches on 16 GB VRAM versus P100's limits.
Both offer 16 GB VRAM for mid-size models; P100 saves costs at $0.07/hr, RTX 4080 SUPER speeds via 48.7 TFLOPS.
Ada Lovelace optimizations and 48.7 TFLOPS boost generation speed over Pascal's 9.3 TFLOPS.
P100's NVLink and $0.07/hr pricing fit multi-GPU simulations better than RTX 4080 SUPER's PCIe focus.
Frequently Asked Questions
What is the performance difference between P100 and RTX 4080 SUPER?▾
RTX 4080 SUPER delivers 48.7 TFLOPS FP16/FP32, over five times the P100's 9.3 TFLOPS. This accelerates training and inference significantly. Bandwidth stays close at 717 GB/s versus 732 GB/s.
Which has better cloud pricing?▾
P100 starts at $0.07/hr averaging $0.25/hr across three offers, cheaper than RTX 4080 SUPER's $0.17/hr average of $0.32/hr. Choose P100 for budgets. RTX justifies premium with speed.
Do they have the same VRAM?▾
Both provide 16 GB, P100 in HBM2 and RTX 4080 SUPER in GDDR6X. This suits similar memory-bound tasks. Bandwidth nears parity at 732 GB/s and 717 GB/s.
Is P100 still viable for AI?▾
P100's 9.3 TFLOPS and NVLink work for legacy or budget AI at $0.07/hr. Newer RTX 4080 SUPER excels with 48.7 TFLOPS. Avoid for cutting-edge models.
What about power consumption?▾
P100 draws 250W TDP, lower than RTX 4080 SUPER's 320W. This aids dense deployments. Higher TDP on RTX yields superior 48.7 TFLOPS performance.
Can RTX 4080 SUPER replace P100 in clusters?▾
RTX 4080 SUPER lacks NVLink, relying on PCIe versus P100's interconnect. Use for single-GPU speed at 48.7 TFLOPS. P100 fits multi-GPU legacy setups.
Which is cheaper to rent, the P100 or the RTX 4080?▾
Cloud rental prices for both the P100 and RTX 4080 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 P100 have compared to the RTX 4080?▾
The P100 has 16 GB of HBM2 memory. The RTX 4080 has 16 GB of GDDR6X memory.
Can I find P100 and RTX 4080 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 P100 and the RTX 4080?▾
The P100 uses the Pascal architecture (2016) while the RTX 4080 uses Ada Lovelace (2022). The RTX 4080 delivers 5.2x the FP16 throughput and 1.0x the memory bandwidth of the P100.