Specifications Compared
| Spec | P100 | RTX-5880-ADA |
|---|---|---|
| TDP | 250W | 285W |
| VRAM | 16 GB | 48 GB |
| CUDA Cores | 3,584 | 14,080 |
| Memory Type | HBM2 | GDDR6 |
| Architecture | Pascal | Ada Lovelace |
| Form Factors | SXM2, PCIe | PCIe |
| Interconnect | NVLink | |
| FP16 Performance | 9.3 TFLOPS | 69.7 TFLOPS |
| FP32 Performance | 9.3 TFLOPS | 69.7 TFLOPS |
| FP64 Performance | 4.7 TFLOPS | |
| Memory Bandwidth | 732 GB/s | 960 GB/s |
Performance Analysis
Compute performance defines the core disparity: the RTX 5880 Ada achieves 69.7 TFLOPS in FP16 and FP32, surpassing the P100's 9.3 TFLOPS by a factor of 7.5. For deep learning training, this enables the RTX 5880 Ada to process epochs over seven times faster on equivalent models, accelerating convergence in large-scale neural networks. Inference benefits similarly, with reduced latency for real-time serving.
Memory capacity impacts workload feasibility: 48 GB on the RTX 5880 Ada supports models and batch sizes three times larger than the P100's 16 GB limit, preventing out-of-memory errors in transformer-based tasks. Bandwidth at 960 GB/s on the RTX 5880 Ada, versus 732 GB/s on the P100, sustains higher data throughput, allowing larger effective batch sizes without bottlenecks during gradient computations or data loading.
Power draw remains close, with the RTX 5880 Ada's 285 W TDP only 14 percent above the P100's 250 W, making efficiency gains proportional to raw specs in cloud scaling.
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 cost-sensitive projects requiring immediate cloud availability. With pricing from $0.07 per hour and an average of $0.25 per hour across three offers, it provides entry-level compute at 9.3 TFLOPS FP16 and FP32 with 16 GB HBM2 for prototyping or legacy Pascal-optimized codebases. Its NVLink interconnect and SXM2 or PCIe form factors fit established datacenter clusters where high-end upgrades prove unnecessary.
When to Choose the RTX 5880 Ada
The RTX 5880 Ada excels in performance-critical workloads demanding modern architecture. Its 69.7 TFLOPS FP16 and FP32, 48 GB GDDR6, and 960 GB/s bandwidth handle large-scale AI training and inference far beyond the P100's capabilities. PCIe form factor integrates into contemporary workstations, ideal for users awaiting cloud availability for Ada Lovelace features like advanced tensor cores.
Use Cases
The RTX 5880 Ada's 69.7 TFLOPS FP16 and 48 GB VRAM handle massive language models with larger batches, outperforming the P100's 9.3 TFLOPS and 16 GB limits.
RTX 5880 Ada's 7.5 times higher 69.7 TFLOPS reduces latency for high-throughput serving, while 48 GB supports more concurrent requests than P100's 16 GB.
48 GB VRAM and 960 GB/s bandwidth on RTX 5880 Ada accommodate larger fine-tuning datasets and models without swapping, exceeding P100's 16 GB and 732 GB/s.
RTX 5880 Ada's 69.7 TFLOPS and 48 GB enable high-resolution image generation at speed, far beyond P100's 9.3 TFLOPS capacity for diffusion models.
P100's 16 GB HBM2 and $0.07 per hour pricing fit budget simulations; RTX 5880 Ada's 48 GB and 69.7 TFLOPS suit complex datasets.
Frequently Asked Questions
What is the compute performance difference between P100 and RTX 5880 Ada?▾
The RTX 5880 Ada provides 69.7 TFLOPS in FP16 and FP32, compared to the P100's 9.3 TFLOPS, a 7.5 times improvement. This gap accelerates training and inference workloads significantly.
How much VRAM do these GPUs have?▾
P100 offers 16 GB HBM2, while RTX 5880 Ada has 48 GB GDDR6. The triple capacity supports larger models and batch sizes on the newer GPU.
What are the current cloud prices?▾
P100 starts at $0.07 per hour with an average of $0.25 per hour across three live offers. RTX 5880 Ada has no live offers available.
What architectures do they use?▾
P100 uses Pascal from 2016; RTX 5880 Ada employs Ada Lovelace from 2024. The eight-year gap yields advanced tensor cores and efficiency on the latter.
What are the TDPs and form factors?▾
P100 draws 250 W in SXM2 or PCIe forms with NVLink; RTX 5880 Ada uses 285 W in PCIe only. Power difference is minimal at 14 percent higher.
How does memory bandwidth compare?▾
RTX 5880 Ada reaches 960 GB/s with GDDR6, exceeding P100's 732 GB/s HBM2 by 31 percent. Higher bandwidth aids data-intensive tasks.
Which is cheaper to rent, the P100 or the RTX 5880 Ada?▾
Cloud rental prices for both the P100 and RTX 5880 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 5880 Ada?▾
The P100 has 16 GB of HBM2 memory. The RTX 5880 Ada has 48 GB of GDDR6 memory.
Can I find P100 and RTX 5880 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 5880 Ada?▾
The P100 uses the Pascal architecture (2016) while the RTX 5880 Ada uses Ada Lovelace (2024). The RTX 5880 Ada delivers 7.5x the FP16 throughput and 1.3x the memory bandwidth of the P100.