Specifications Compared
| Spec | P100 | RTX-6000-ADA |
|---|---|---|
| TDP | 250W | 300W |
| VRAM | 16 GB | 48 GB |
| CUDA Cores | 3,584 | 18,176 |
| Memory Type | HBM2 | GDDR6 |
| Architecture | Pascal | Ada Lovelace |
| Form Factors | SXM2, PCIe | PCIe |
| Interconnect | NVLink | NVLink |
| FP16 Performance | 9.3 TFLOPS | 91.1 TFLOPS |
| FP32 Performance | 9.3 TFLOPS | 91.1 TFLOPS |
| FP64 Performance | 4.7 TFLOPS | 1.4 TFLOPS |
| Memory Bandwidth | 732 GB/s | 960 GB/s |
Performance Analysis
The RTX 6000 Ada vastly outperforms the P100 in compute: 91.1 TFLOPS versus 9.3 TFLOPS in FP16 and FP32, a nearly tenfold increase. This delta accelerates machine learning training and inference significantly. Training large models completes faster on the RTX 6000 Ada, reducing total compute hours.
Memory specs further advantage the RTX 6000 Ada. Its 48 GB GDDR6 VRAM supports larger batch sizes than the P100's 16 GB HBM2, enabling efficient handling of extensive datasets without frequent swapping. The 960 GB/s bandwidth versus 732 GB/s minimizes data transfer bottlenecks, improving throughput for memory-intensive operations like inference on high-resolution inputs.
Power draw reflects efficiency gains: RTX 6000 Ada at 300W TDP versus P100's 250W. Higher TDP correlates with sustained peak performance in prolonged workloads, though cloud providers manage thermal limits.
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 6000 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 16 vCPU 188GB RAM | 🌍global | $0.50/GPU/hr | |||
RunPod | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 10 vCPU 167GB RAM | 🌍global | $0.77/GPU/hr | |||
 Massed Compute | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 12 vCPU 72GB RAM 350GB Storage | Iowa | $0.79/GPU/hr | Available | ||
Massed Compute | 2×NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 26 vCPU 144GB RAM 700GB Storage | Iowa | $0.79/GPU/hr $1.58/hr total (2×) | Available | ||
Massed Compute | 4×NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 52 vCPU 288GB RAM 1400GB Storage | Iowa | $0.79/GPU/hr $3.16/hr total (4×) | Available |
When to Choose the P100
The P100 suits ultra-budget deployments where costs dominate. At $0.07 per hour starting price, it handles light machine learning inference or legacy scientific computing with 9.3 TFLOPS FP32 performance and 16 GB VRAM. Small-scale fine-tuning fits within its 732 GB/s bandwidth without excessive expense.
Legacy Pascal-optimized codebases run natively on P100, avoiding recompilation costs associated with Ada Lovelace.
When to Choose the RTX 6000 Ada
The RTX 6000 Ada excels in demanding modern workloads requiring 91.1 TFLOPS and 48 GB VRAM. Large language model training or high-batch inference leverages its 960 GB/s bandwidth for optimal speed. Users prioritizing throughput over initial cost select it despite $1.22 per hour average.
Ada Lovelace optimizations benefit Stable Diffusion and contemporary frameworks, delivering superior results on PCIe form factor systems.
Use Cases
RTX 6000 Ada's 91.1 TFLOPS and 48 GB VRAM manage large models far better than P100's 9.3 TFLOPS and 16 GB. Training completes in significantly fewer hours.
Higher 960 GB/s bandwidth on RTX 6000 Ada supports bigger batches for low-latency serving. P100's 732 GB/s limits scale on demanding queries.
Ada Lovelace architecture with 91.1 TFLOPS accelerates iterations over P100's Pascal limits. 48 GB VRAM fits full datasets comfortably.
RTX 6000 Ada's FP16 performance and VRAM handle high-resolution generations swiftly. P100 struggles with memory constraints on complex prompts.
P100 suffices for basic simulations at low cost with 9.3 TFLOPS. RTX 6000 Ada shines for large-scale parallel computations needing 48 GB VRAM.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 6000 Ada offers 48 GB GDDR6 VRAM. The P100 provides 16 GB HBM2. This tripling enables larger models on the RTX 6000 Ada.
What is the performance difference in TFLOPS?▾
RTX 6000 Ada delivers 91.1 TFLOPS in FP16 and FP32. P100 achieves 9.3 TFLOPS in both. The gap yields about ten times faster compute on RTX 6000 Ada.
How do cloud prices compare?▾
P100 starts at $0.07 per hour, averaging $0.25 across three offers. RTX 6000 Ada begins at $0.20 per hour, averaging $1.22 over 47 offers. P100 targets cost savings.
Which has higher memory bandwidth?▾
RTX 6000 Ada provides 960 GB/s. P100 offers 732 GB/s. Superior bandwidth reduces bottlenecks in data-heavy tasks on RTX 6000 Ada.
What are the TDP ratings?▾
P100 consumes 250W TDP. RTX 6000 Ada uses 300W. Higher TDP on RTX 6000 Ada supports sustained high performance.
Do both support NVLink?▾
Both GPUs include NVLink interconnects. P100 also supports SXM2 form factor, while RTX 6000 Ada uses PCIe exclusively.
Which is cheaper to rent, the P100 or the RTX 6000 Ada?▾
Cloud rental prices for both the P100 and RTX 6000 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 6000 Ada?▾
The P100 has 16 GB of HBM2 memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.
Can I find P100 and RTX 6000 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 6000 Ada?▾
The P100 uses the Pascal architecture (2016) while the RTX 6000 Ada uses Ada Lovelace (2022). The RTX 6000 Ada delivers 9.8x the FP16 throughput and 1.3x the memory bandwidth of the P100.