Specifications Compared
| Spec | P100 | RTX-A5000 |
|---|---|---|
| TDP | 250W | 230W |
| VRAM | 16 GB | 24 GB |
| CUDA Cores | 3,584 | 8,192 |
| Memory Type | HBM2 | GDDR6 |
| Architecture | Pascal | Ampere |
| Form Factors | SXM2, PCIe | PCIe |
| Interconnect | NVLink | NVLink |
| FP16 Performance | 9.3 TFLOPS | 27.8 TFLOPS |
| FP32 Performance | 9.3 TFLOPS | 27.8 TFLOPS |
| FP64 Performance | 4.7 TFLOPS | |
| Memory Bandwidth | 732 GB/s | 768 GB/s |
Performance Analysis
Performance differences favor the RTX A5000 decisively. Its 27.8 TFLOPS in FP16 and FP32 triples the P100's 9.3 TFLOPS, enabling faster model training and inference in deep learning workflows. This FP16 and FP32 parity in both GPUs supports mixed-precision training without bottlenecks, but the A5000's higher throughput reduces epoch times significantly for large datasets.
Memory specifications enhance the A5000's edge. With 24 GB GDDR6 versus the P100's 16 GB HBM2, larger models fit without splitting batches, ideal for transformer-based networks. The 768 GB/s bandwidth slightly exceeds the P100's 732 GB/s, allowing bigger batch sizes during training: for instance, a 10% bandwidth increase sustains higher throughput in memory-bound scenarios like inference serving.
Power efficiency tilts toward the A5000 at 230 W TDP compared to 250 W, yielding better perf-per-watt ratios. In multi-GPU setups via NVLink, the A5000 scales more effectively for 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 A5000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | 4×NVIDIA RTX A5000 24GB VRAM | 24GB | 64 vCPU 224GB RAM 2256GB Storage | Romania | $0.23/GPU/hr $0.92/hr total (4×) | Available | ||
Vast.ai | NVIDIA RTX A5000 24GB VRAM | 24GB | 32 vCPU 101GB RAM 101GB Storage | Iceland | $0.24/GPU/hr | Available | ||
 RunPod | NVIDIA RTX A5000 24GB VRAM | 24GB | 9 vCPU 25GB RAM | 🌍global | $0.27/GPU/hr | |||
 Cirrascale | 8×NVIDIA RTX A5000 24GB VRAM | 24GB | 40 vCPU 256GB RAM 2610GB Storage | United States | $0.41/GPU/hr $3.28/hr total (8×) | |||
Cirrascale | 8×NVIDIA RTX A5000 24GB VRAM | 24GB | 40 vCPU 256GB RAM 2610GB Storage | United States | $0.46/GPU/hr $3.68/hr total (8×) |
When to Choose the P100
The P100 suits cost-sensitive projects with light compute demands. At starting prices from $0.07 per hour, it undercuts the A5000's average $0.41 per hour, making it ideal for prototyping or small-scale inference where 9.3 TFLOPS suffices. Its 16 GB HBM2 handles modest datasets without excess capacity.
When to Choose the RTX A5000
The RTX A5000 excels in demanding AI and visualization tasks. Its 27.8 TFLOPS FP32 performance and 24 GB VRAM support large-scale LLM training and Stable Diffusion rendering, where the P100's limits become evident. Abundant cloud offers at 36 providers ensure availability for production workloads.
Use Cases
The A5000's 27.8 TFLOPS FP32 and 24 GB VRAM handle larger models and batches than the P100's 9.3 TFLOPS and 16 GB.
Higher 27.8 TFLOPS FP16 throughput on the A5000 supports more concurrent requests versus the P100's 9.3 TFLOPS.
A5000's 768 GB/s bandwidth and extra 8 GB VRAM enable efficient fine-tuning of mid-sized LLMs without OOM errors.
24 GB VRAM on the A5000 accommodates high-resolution image generation, surpassing the P100's 16 GB capacity.
P100's 732 GB/s HBM2 bandwidth aids simulations at low cost from $0.07 per hour; A5000's 27.8 TFLOPS suits complex computations.
Frequently Asked Questions
Which GPU has more VRAM: P100 or RTX A5000?▾
The RTX A5000 provides 24 GB GDDR6 VRAM, exceeding the P100's 16 GB HBM2. This difference allows the A5000 to load larger models directly.
How do P100 and RTX A5000 compare in FP32 performance?▾
The A5000 delivers 27.8 TFLOPS FP32, nearly three times the P100's 9.3 TFLOPS. This gap accelerates training loops significantly.
What is the cloud pricing for these GPUs?▾
P100 starts at $0.07 per hour averaging $0.25 across 3 offers; A5000 from $0.03 per hour averaging $0.41 across 36 offers. Availability favors the A5000.
Does the P100 support NVLink?▾
Yes, the P100 includes NVLink interconnect alongside SXM2 and PCIe form factors. The A5000 also supports NVLink in PCIe.
Which has higher memory bandwidth?▾
RTX A5000 offers 768 GB/s, slightly above P100's 732 GB/s. This aids larger batch sizes in memory-intensive tasks.
Is RTX A5000 more power efficient than P100?▾
Yes, at 230 W TDP versus P100's 250 W, while providing 27.8 TFLOPS. It yields better performance per watt.
Which is cheaper to rent, the P100 or the RTX A5000?▾
Cloud rental prices for both the P100 and RTX A5000 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 A5000?▾
The P100 has 16 GB of HBM2 memory. The RTX A5000 has 24 GB of GDDR6 memory.
Can I find P100 and RTX A5000 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 A5000?▾
The P100 uses the Pascal architecture (2016) while the RTX A5000 uses Ampere (2021). The RTX A5000 delivers 3.0x the FP16 throughput and 1.0x the memory bandwidth of the P100.