Specifications Compared
| Spec | P100 | RTX-3090 |
|---|---|---|
| TDP | 250W | 350W |
| VRAM | 16 GB | 24 GB |
| CUDA Cores | 3,584 | 10,496 |
| Memory Type | HBM2 | GDDR6X |
| Architecture | Pascal | Ampere |
| Form Factors | SXM2, PCIe | PCIe |
| Interconnect | NVLink | NVLink |
| FP16 Performance | 9.3 TFLOPS | 35.6 TFLOPS |
| FP32 Performance | 9.3 TFLOPS | 35.6 TFLOPS |
| FP64 Performance | 4.7 TFLOPS | |
| Memory Bandwidth | 732 GB/s | 936 GB/s |
Performance Analysis
The RTX 3090 outperforms the P100 dramatically in raw compute: 35.6 TFLOPS FP16 and FP32 versus 9.3 TFLOPS, enabling up to 3.8 times faster matrix operations critical for deep learning. This delta accelerates training epochs and inference latency, particularly in half-precision workflows common today. Memory bandwidth of 936 GB/s on RTX 3090 supports larger batch sizes than P100's 732 GB/s, reducing overhead in data-heavy tasks like LLM processing. Higher 24 GB VRAM on RTX 3090 handles models exceeding 16 GB without swapping, unlike P100 limitations. The 350W TDP of RTX 3090 demands more power than P100's 250W, but yields efficiency gains in Ampere's architecture for sustained workloads. HBM2 on P100 offers low latency for scientific simulations, while GDDR6X on RTX 3090 prioritizes high throughput for graphics and AI.
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 3090
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Wilmington, Delaware | $0.20/GPU/hr | Available | ||
TensorDock | NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Dallas, Texas | $0.21/GPU/hr | Available | ||
 Vast.ai | 4×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 32 vCPU 403GB RAM 104GB Storage | Iceland | $0.25/GPU/hr $1.01/hr total (4×) | Available | ||
Vast.ai | 4×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 32 vCPU 252GB RAM 1217GB Storage | Finland | $0.27/GPU/hr $1.07/hr total (4×) | Available | ||
LeaderGPU | 8×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.29/GPU/hr $2.29/hr total (8×) | Available |
When to Choose the P100
Opt for the P100 in power-sensitive environments: its 250W TDP consumes 29 percent less than RTX 3090's 350W, ideal for dense clusters or edge deployments. Legacy software optimized for Pascal architecture runs natively on P100, avoiding recompilation costs associated with Ampere. Cloud pricing starts at $0.07 per hour average $0.25 per hour across three offers, providing 70 percent savings over RTX 3090's average $0.41 per hour for compatible workloads like older HPC simulations.
When to Choose the RTX 3090
Choose the RTX 3090 for modern AI tasks requiring speed: 35.6 TFLOPS FP16/FP32 crushes P100's 9.3 TFLOPS, slashing training times. Its 24 GB VRAM and 936 GB/s bandwidth manage larger models and batches infeasible on P100's 16 GB HBM2 at 732 GB/s. Availability across 51 cloud offers from $0.08 per hour suits high-demand inference or fine-tuning.
Use Cases
RTX 3090's 35.6 TFLOPS FP16 and 24 GB VRAM enable faster training of large models with bigger batches than P100's 9.3 TFLOPS and 16 GB.
Higher 936 GB/s bandwidth on RTX 3090 supports low-latency inference at scale, outperforming P100's 732 GB/s for real-time serving.
Ampere's 35.6 TFLOPS accelerates fine-tuning iterations 3.8 times over P100, with extra VRAM for parameter-heavy adapters.
RTX 3090's 24 GB GDDR6X handles high-resolution generations smoothly, exceeding P100's 16 GB HBM2 limits.
P100's HBM2 suits low-latency simulations; RTX 3090 excels in throughput-heavy compute with 35.6 TFLOPS.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 3090 provides 24 GB GDDR6X VRAM, surpassing the P100's 16 GB HBM2. This allows RTX 3090 to load larger models without offloading.
What is the performance difference in TFLOPS?▾
RTX 3090 delivers 35.6 TFLOPS in FP16 and FP32, compared to P100's 9.3 TFLOPS in both. This results in approximately 3.8 times faster compute for AI tasks.
How do cloud prices compare?▾
P100 starts at $0.07 per hour average $0.25 per hour across three offers; RTX 3090 from $0.08 per hour average $0.41 per hour across 51 offers. P100 suits budget constraints.
Which has higher memory bandwidth?▾
RTX 3090 offers 936 GB/s, exceeding P100's 732 GB/s. Higher bandwidth benefits data-intensive workloads like training.
What are the TDP ratings?▾
P100 consumes 250W; RTX 3090 requires 350W. Lower TDP makes P100 preferable in power-limited setups.
Do both support NVLink?▾
Both GPUs support NVLink interconnects for multi-GPU scaling. This enables efficient communication in clusters.
Which is cheaper to rent, the P100 or the RTX 3090?▾
Cloud rental prices for both the P100 and RTX 3090 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 3090?▾
The P100 has 16 GB of HBM2 memory. The RTX 3090 has 24 GB of GDDR6X memory.
Can I find P100 and RTX 3090 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 3090?▾
The P100 uses the Pascal architecture (2016) while the RTX 3090 uses Ampere (2020). The RTX 3090 delivers 3.8x the FP16 throughput and 1.3x the memory bandwidth of the P100.