Specifications Compared
| Spec | P100 | RTX-PRO-6000-BLACKWELL |
|---|---|---|
| TDP | 250W | 400W |
| VRAM | 16 GB | 96 GB |
| CUDA Cores | 3,584 | 21,760 |
| Memory Type | HBM2 | GDDR7 |
| Architecture | Pascal | Blackwell |
| Form Factors | SXM2, PCIe | PCIe |
| Interconnect | NVLink | NVLink |
| FP16 Performance | 9.3 TFLOPS | 125 TFLOPS |
| FP32 Performance | 9.3 TFLOPS | 125 TFLOPS |
| FP64 Performance | 4.7 TFLOPS | |
| Memory Bandwidth | 732 GB/s | 1,792 GB/s |
Performance Analysis
Compute performance shows a stark divide: the RTX PRO 6000 delivers 125 TFLOPS in FP16 and FP32 compared to the P100's 9.3 TFLOPS, yielding approximately 13 times higher throughput. This delta accelerates machine learning training cycles significantly, as FP16 precision dominates modern deep learning frameworks. Inference benefits similarly, with the RTX PRO 6000's additional 2000 TFLOPS FP8 capability optimizing low-precision deployments for real-time applications.
Memory specifications further favor the RTX PRO 6000: 96 GB GDDR7 versus 16 GB HBM2 allows loading massive models without splitting across GPUs. The 1792 GB/s bandwidth versus 732 GB/s supports larger batch sizes, reducing per-iteration overhead and improving utilization in training loops. On the P100, constrained bandwidth limits scalability for memory-intensive tasks like large language model processing.
Power draw reflects capability: the RTX PRO 6000's 400 W TDP exceeds the P100's 250 W, but the performance uplift justifies it for high-throughput environments. Both support NVLink, ensuring multi-GPU coherence remains viable.
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 |
When to Choose the P100
The P100 suits legacy scientific computing or lightweight inference where 9.3 TFLOPS FP16 performance meets needs without excess cost. At rentals from $0.07 per hour averaging $0.25 per hour, it excels in budget-limited setups running older Pascal-optimized code on 16 GB HBM2.
Choose the P100 for proof-of-concept prototyping or low-volume tasks intolerant of the RTX PRO 6000's fivefold price premium.
When to Choose the RTX PRO 6000
The RTX PRO 6000 dominates modern AI workloads requiring 96 GB VRAM and 125 TFLOPS FP16/FP32 rates. Its 1792 GB/s bandwidth handles large-batch training for LLMs, where the P100's 732 GB/s and 16 GB limit viability.
Opt for it in production inference leveraging 2000 TFLOPS FP8, despite 400 W TDP and $0.59 per hour starting pricing.
Use Cases
The RTX PRO 6000's 96 GB VRAM and 125 TFLOPS FP16 handle large models and batches far beyond the P100's 16 GB and 9.3 TFLOPS limits.
2000 TFLOPS FP8 on the RTX PRO 6000 optimizes high-throughput serving, with 1792 GB/s bandwidth supporting bigger requests than the P100's 732 GB/s.
125 TFLOPS FP32 and 96 GB GDDR7 enable efficient adaptation of massive models, avoiding the P100's memory constraints at 16 GB HBM2.
The RTX PRO 6000's superior 125 TFLOPS FP16 accelerates image generation pipelines, with ample VRAM for high-resolution outputs unlike the P100.
P100 suffices for FP32 tasks at 9.3 TFLOPS and $0.25 per hour average if datasets fit 16 GB; RTX PRO 6000 scales to complex simulations needing 96 GB.
Frequently Asked Questions
What is the VRAM difference between P100 and RTX PRO 6000?▾
The RTX PRO 6000 provides 96 GB GDDR7 VRAM, six times the P100's 16 GB HBM2. This enables larger models on the newer GPU. Bandwidth also differs: 1792 GB/s versus 732 GB/s.
How do cloud prices compare for these GPUs?▾
P100 rentals start from $0.07 per hour averaging $0.25 per hour across three offers. RTX PRO 6000 begins at $0.59 per hour averaging $1.25 per hour over five offers. The gap reflects performance disparity.
What are the FP16 performance specs?▾
The P100 delivers 9.3 TFLOPS FP16. The RTX PRO 6000 achieves 125 TFLOPS FP16, over 13 times higher. FP32 matches these figures on both.
Does the RTX PRO 6000 support FP8?▾
Yes, it offers 2000 TFLOPS FP8 for inference optimization. The P100 lacks FP8 capability. This boosts low-precision workloads significantly.
What form factors do they support?▾
P100 comes in SXM2 and PCIe. RTX PRO 6000 uses PCIe. Both feature NVLink interconnect for multi-GPU setups.
How do TDPs compare?▾
P100 TDP is 250 W. RTX PRO 6000 requires 400 W. Higher power correlates with its 125 TFLOPS compute versus 9.3 TFLOPS.
Which is cheaper to rent, the P100 or the RTX PRO 6000?▾
Cloud rental prices for both the P100 and RTX PRO 6000 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 PRO 6000?▾
The P100 has 16 GB of HBM2 memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.
Can I find P100 and RTX PRO 6000 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 PRO 6000?▾
The P100 uses the Pascal architecture (2016) while the RTX PRO 6000 uses Blackwell (2025). The RTX PRO 6000 delivers 13.4x the FP16 throughput and 2.4x the memory bandwidth of the P100.