Specifications Compared
| Spec | P100 | RTX-4070 |
|---|---|---|
| TDP | 250W | 200W |
| VRAM | 16 GB | 12 GB |
| CUDA Cores | 3,584 | 5,888 |
| Memory Type | HBM2 | GDDR6X |
| Architecture | Pascal | Ada Lovelace |
| Form Factors | SXM2, PCIe | PCIe |
| Interconnect | NVLink | |
| FP16 Performance | 9.3 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 9.3 TFLOPS | 29.1 TFLOPS |
| FP64 Performance | 4.7 TFLOPS | |
| Memory Bandwidth | 732 GB/s | 504 GB/s |
Performance Analysis
Compute performance favors the RTX 4070 decisively: its 29.1 TFLOPS in FP16 and FP32 enables faster training and inference compared to the P100's 9.3 TFLOPS, reducing epoch times by approximately a factor of three in floating-point heavy workloads. This delta proves critical for deep learning, where higher throughput accelerates model convergence during training and lowers latency in inference serving.
Memory characteristics tilt toward the P100: 16 GB HBM2 with 732 GB/s bandwidth supports larger batch sizes than the RTX 4070's 12 GB GDDR6X at 504 GB/s, benefiting memory-bound tasks like large-model fine-tuning or simulations. Lower bandwidth on the RTX 4070 may bottleneck scenarios with high data movement, though its newer architecture includes efficiency improvements. Power efficiency also advantages the RTX 4070, drawing 200W versus 250W, yielding better performance per watt at 0.146 TFLOPS/W compared to the P100's 0.037 TFLOPS/W in FP32.
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 4070
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4070 Ti 12GB VRAM | 12GB | 6 vCPU 30GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the P100
The P100 suits scenarios demanding high memory capacity and bandwidth, such as scientific computing with datasets exceeding 12 GB or multi-GPU setups via NVLink. Its 16 GB HBM2 and 732 GB/s bandwidth enable larger batch sizes in memory-intensive simulations, where the RTX 4070's 12 GB GDDR6X limits scale. Datacenter form factors like SXM2 provide robust enterprise integration unavailable on the consumer PCIe-only RTX 4070.
When to Choose the RTX 4070
The RTX 4070 excels in modern machine learning workloads requiring raw compute speed, delivering 29.1 TFLOPS in FP16 and FP32 for quicker training and inference than the P100's 9.3 TFLOPS. Greater cloud availability across nine offers at an average $0.19 per hour offers flexibility over the P100's three offers at $0.25 per hour. Lower 200W TDP enhances efficiency in power-sensitive cloud instances.
Use Cases
The RTX 4070's 29.1 TFLOPS in FP16 outperforms the P100's 9.3 TFLOPS, speeding up training epochs. Greater availability across nine cloud offers supports scalable deployments.
Higher FP16 throughput at 29.1 TFLOPS on the RTX 4070 reduces latency compared to 9.3 TFLOPS on the P100. Lower average pricing of $0.19 per hour aids cost-effective serving.
The RTX 4070 handles fine-tuning faster with 29.1 TFLOPS FP32, versus the P100's 9.3 TFLOPS. Its Ada architecture optimizes for recent frameworks.
Ada Lovelace features in the RTX 4070 boost image generation via 29.1 TFLOPS compute, surpassing the P100's Pascal capabilities. More cloud offers ensure accessibility.
The P100's 16 GB HBM2 and 732 GB/s bandwidth manage large datasets better than the RTX 4070's 12 GB GDDR6X at 504 GB/s. NVLink supports multi-GPU simulations.
Frequently Asked Questions
Which GPU has more VRAM, P100 or RTX 4070?▾
The P100 provides 16 GB HBM2 VRAM, exceeding the RTX 4070's 12 GB GDDR6X. This advantage aids memory-intensive tasks. Bandwidth also favors the P100 at 732 GB/s over 504 GB/s.
How do compute performances compare between P100 and RTX 4070?▾
The RTX 4070 delivers 29.1 TFLOPS in FP16 and FP32, more than three times the P100's 9.3 TFLOPS per precision. This gap accelerates training and inference. Real-world speedups often align with this ratio.
What are the cloud pricing differences for P100 vs RTX 4070?▾
Both start at $0.07 per hour, but the RTX 4070 averages $0.19 per hour across nine offers, cheaper than the P100's $0.25 average over three offers. Availability favors the RTX 4070.
Is the RTX 4070 more power efficient than the P100?▾
The RTX 4070 consumes 200W TDP versus the P100's 250W, yielding 0.146 TFLOPS/W in FP32 compared to 0.037 TFLOPS/W. This efficiency suits constrained cloud environments. Newer architecture contributes to the gain.
Can the P100 use NVLink, unlike the RTX 4070?▾
The P100 supports NVLink for multi-GPU communication, absent on the PCIe-only RTX 4070. This enables high-speed scaling in clusters. Datacenter form factors like SXM2 enhance such setups.
Which is newer, P100 or RTX 4070?▾
The RTX 4070 uses 2023 Ada Lovelace architecture, versus the P100's 2016 Pascal. This recency brings optimizations for current software. Compute metrics reflect the seven-year advancement.
Which is cheaper to rent, the P100 or the RTX 4070?▾
Cloud rental prices for both the P100 and RTX 4070 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 4070?▾
The P100 has 16 GB of HBM2 memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find P100 and RTX 4070 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 4070?▾
The P100 uses the Pascal architecture (2016) while the RTX 4070 uses Ada Lovelace (2023). The RTX 4070 delivers 3.1x the FP16 throughput and 1.5x the memory bandwidth of the P100.