Specifications Compared
| Spec | P100 | RTX-5000-ADA |
|---|---|---|
| TDP | 250W | 250W |
| VRAM | 16 GB | 32 GB |
| CUDA Cores | 3,584 | 12,800 |
| Memory Type | HBM2 | GDDR6 |
| Architecture | Pascal | Ada Lovelace |
| Form Factors | SXM2, PCIe | PCIe |
| Interconnect | NVLink | |
| FP16 Performance | 9.3 TFLOPS | 65.3 TFLOPS |
| FP32 Performance | 9.3 TFLOPS | 65.3 TFLOPS |
| FP64 Performance | 4.7 TFLOPS | |
| Memory Bandwidth | 732 GB/s | 576 GB/s |
Performance Analysis
Compute performance defines the core disparity: the RTX 5000 Ada's 65.3 TFLOPS in FP16 and FP32 enables training and inference at speeds over seven times those of the P100's 9.3 TFLOPS. For deep learning training, this translates to faster convergence on large datasets; inference workloads process more queries per second, ideal for real-time applications.
Memory capacity doubles from 16 GB HBM2 to 32 GB GDDR6 on the RTX 5000 Ada, supporting larger batch sizes and complex models without swapping. However, the P100's 732 GB/s bandwidth exceeds the RTX 5000 Ada's 576 GB/s, benefiting memory-intensive tasks like large matrix multiplications where data transfer limits throughput.
Both GPUs share 250W TDP, ensuring comparable power efficiency envelopes, but the RTX 5000 Ada's PCIe form factor contrasts the P100's SXM2 and PCIe options with NVLink, influencing multi-GPU scaling in distributed training.
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 5000 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.55/GPU/hr | Available | ||
 RunPod | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 10 vCPU 83GB RAM | 🌍global | $0.83/GPU/hr |
When to Choose the P100
The P100 suits cost-sensitive deployments requiring high memory bandwidth. At $0.07 per hour starting price, it handles workloads where 732 GB/s throughput outperforms the RTX 5000 Ada's 576 GB/s, such as certain scientific simulations or legacy HPC codes optimized for Pascal.
NVLink interconnect enables efficient multi-GPU communication unavailable on the RTX 5000 Ada, making the P100 preferable for scaled clusters on tight budgets averaging $0.25 per hour.
When to Choose the RTX 5000 Ada
The RTX 5000 Ada excels in modern AI pipelines demanding high compute and ample VRAM. Its 65.3 TFLOPS FP16 and FP32 rates accelerate LLM training and inference over the P100's 9.3 TFLOPS, while 32 GB GDDR6 supports models exceeding 16 GB capacities.
Users prioritize 2023 Ada Lovelace features for Stable Diffusion or fine-tuning at $0.25 per hour starting, despite higher average costs of $0.51 per hour, for superior single-GPU performance.
Use Cases
The RTX 5000 Ada's 65.3 TFLOPS FP16 performance and 32 GB VRAM enable faster training of large language models compared to the P100's 9.3 TFLOPS and 16 GB.
High FP32 throughput of 65.3 TFLOPS on the RTX 5000 Ada supports more queries per second; 32 GB VRAM accommodates bigger batches than the P100's 16 GB limit.
Ada Lovelace architecture with 65.3 TFLOPS accelerates fine-tuning iterations over Pascal's 9.3 TFLOPS, and doubled VRAM fits adapter-heavy models.
RTX 5000 Ada's 2023 features and 32 GB GDDR6 optimize image generation pipelines, outperforming the P100's older 16 GB HBM2 setup.
P100's 732 GB/s bandwidth aids memory-bound simulations better than 576 GB/s on RTX 5000 Ada; NVLink supports multi-GPU scaling at lower $0.07 per hour costs.
Frequently Asked Questions
What is the FP32 performance difference between P100 and RTX 5000 Ada?▾
The RTX 5000 Ada delivers 65.3 TFLOPS FP32, over seven times the P100's 9.3 TFLOPS. This gap accelerates compute-heavy tasks like model training. Both maintain identical FP16 rates at these figures.
How does VRAM compare on these GPUs?▾
RTX 5000 Ada provides 32 GB GDDR6 versus P100's 16 GB HBM2. Larger capacity on Ada supports bigger models and batches. P100's HBM2 offers higher bandwidth at 732 GB/s over Ada's 576 GB/s.
Which GPU is cheaper in the cloud?▾
P100 starts at $0.07 per hour averaging $0.25 per hour across three offers. RTX 5000 Ada begins at $0.25 per hour averaging $0.51 per hour over five providers. Cost favors P100 for light workloads.
Do they have the same power consumption?▾
Both GPUs feature 250W TDP. This equality aids fair power budgeting in clouds. Performance per watt strongly favors RTX 5000 Ada's 65.3 TFLOPS.
What form factors are available?▾
P100 supports SXM2 and PCIe with NVLink interconnect. RTX 5000 Ada uses PCIe only. Multi-GPU setups benefit from P100's options.
Is RTX 5000 Ada newer than P100?▾
RTX 5000 Ada uses 2023 Ada Lovelace architecture; P100 relies on 2016 Pascal. Newer design yields 65.3 TFLOPS versus 9.3 TFLOPS. This drives most performance advantages.
Which is cheaper to rent, the P100 or the RTX 5000 Ada?▾
Cloud rental prices for both the P100 and RTX 5000 Ada 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 5000 Ada?▾
The P100 has 16 GB of HBM2 memory. The RTX 5000 Ada has 32 GB of GDDR6 memory.
Can I find P100 and RTX 5000 Ada 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 5000 Ada?▾
The P100 uses the Pascal architecture (2016) while the RTX 5000 Ada uses Ada Lovelace (2023). The RTX 5000 Ada delivers 7.0x the FP16 throughput and 1.3x the memory bandwidth of the P100.