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
The RTX 4080 demonstrates superior compute capability: 48.7 TFLOPS in both FP16 and FP32 compared to the P100's 9.3 TFLOPS enables training deep neural networks over five times faster. Inference workloads similarly benefit, as higher throughput processes more samples per second, reducing latency in deployment scenarios.
Memory bandwidth differences prove negligible for most tasks, with the P100 at 732 GB/s and RTX 4080 at 717 GB/s supporting comparable batch sizes in models fitting within 16 GB VRAM. However, Ada Lovelace architecture introduces tensor core enhancements absent in Pascal, optimizing mixed-precision operations for AI accelerators.
Power consumption varies at 320W TDP for the RTX 4080 versus 250W for the P100, influencing total cluster costs in prolonged runs. Real-world benchmarks reflect these specs, where RTX 4080 completes ResNet-50 training epochs in minutes versus hours on P100.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
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
| 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 P100
The P100 excels in scenarios demanding NVLink interconnect for multi-GPU communication, unavailable on the RTX 4080. Its lower 250W TDP reduces power expenses in dense cloud deployments, and starting price of $0.07 per hour suits low-budget legacy Pascal applications like older scientific simulations.
When to Choose the RTX 4080
Opt for the RTX 4080 in performance-critical AI pipelines: 48.7 TFLOPS FP16/FP32 accelerates LLM training and inference far beyond the P100's 9.3 TFLOPS. Greater availability across 8 cloud offers ensures easier scaling, despite the 320W TDP.
Use Cases
RTX 4080's 48.7 TFLOPS FP16 outperforms P100's 9.3 TFLOPS, enabling faster convergence on large models.
Higher 48.7 TFLOPS throughput on RTX 4080 reduces latency for real-time serving compared to P100's 9.3 TFLOPS.
Ada Lovelace tensor cores and 48.7 TFLOPS provide efficiency gains over Pascal's 9.3 TFLOPS in parameter updates.
RTX 4080 leverages modern RT cores and 48.7 TFLOPS for quicker image generation versus P100.
P100's NVLink and 732 GB/s bandwidth suit multi-GPU simulations; lower $0.07/hr pricing fits budget constraints.
Frequently Asked Questions
Which GPU has higher FP32 performance?▾
The RTX 4080 achieves 48.7 TFLOPS FP32, over five times the P100's 9.3 TFLOPS. This gap accelerates compute-intensive tasks like matrix multiplications.
Do they have the same VRAM?▾
Both offer 16 GB VRAM, but P100 uses HBM2 while RTX 4080 employs GDDR6X. Bandwidth stands at 732 GB/s for P100 and 717 GB/s for RTX 4080.
What is the price difference in cloud rentals?▾
P100 starts at $0.07 per hour averaging $0.25 across 3 offers; RTX 4080 from $0.11 per hour averaging $0.28 across 8 offers.
Does RTX 4080 support NVLink?▾
No, RTX 4080 lacks NVLink interconnect, unlike the P100. PCIe form factor limits multi-GPU scaling options.
Which has lower power consumption?▾
P100 draws 250W TDP versus RTX 4080's 320W. This favors P100 in power-sensitive environments.
Is P100 still viable for ML training?▾
P100's 9.3 TFLOPS suits small-scale or legacy training, but RTX 4080's 48.7 TFLOPS handles modern models efficiently.
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.