Specifications Compared
| Spec | P100 | RTX-2070 |
|---|---|---|
| TDP | 250W | 175W |
| VRAM | 16 GB | 8 GB |
| CUDA Cores | 3,584 | 2,304 |
| Memory Type | HBM2 | GDDR6 |
| Architecture | Pascal | Turing |
| Form Factors | SXM2, PCIe | PCIe |
| Interconnect | NVLink | NVLink |
| FP16 Performance | 9.3 TFLOPS | 7.5 TFLOPS |
| FP32 Performance | 9.3 TFLOPS | 7.5 TFLOPS |
| FP64 Performance | 4.7 TFLOPS | |
| Memory Bandwidth | 732 GB/s | 448 GB/s |
Performance Analysis
Peak FP16 and FP32 throughput matches closely at 9.3 TFLOPS for the P100 and 9.1 TFLOPS for the RTX 2070 SUPER, supporting equivalent speeds for FP32 inference and mixed FP16/FP32 training where compute limits performance. Real-world training benefits from this balance as both handle standard precision without bottlenecks in non-memory-bound models.
The P100 excels with 732 GB/s bandwidth over 448 GB/s on the RTX 2070 SUPER, enabling larger batch sizes that reduce per-iteration overhead by up to 60 percent in memory-intensive tasks. Its 16 GB VRAM capacity doubles the RTX 2070 SUPER's 8 GB, accommodating bigger models or datasets without out-of-memory errors during fine-tuning or simulation. Lower TDP of 215 W on the RTX 2070 SUPER versus 250 W on the P100 aids power-constrained environments, though NVLink on P100 boosts multi-GPU efficiency.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Tesla 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 Tesla P100
Choose the P100 for memory-heavy workloads such as LLM training with models exceeding 8 GB VRAM or large-batch scientific computing needing 732 GB/s bandwidth. NVLink interconnect facilitates scalable multi-GPU setups unavailable on the RTX 2070 SUPER. Cloud availability at $0.60 per hour suits production deployments.
When to Choose the RTX 2070 SUPER
Select the RTX 2070 SUPER for power-sensitive local compute or hybrid gaming-ML tasks with 215 W TDP versus 250 W. Its Turing architecture offers tensor core advantages for compatible inference at 9.1 TFLOPS FP16/FP32. Lack of cloud offers favors on-premise use where PCIe suffices.
Use Cases
P100's 16 GB HBM2 VRAM and 732 GB/s bandwidth handle larger models and batches better than RTX 2070 SUPER's 8 GB GDDR6 and 448 GB/s.
Higher memory capacity on P100 supports bigger LLMs without swapping, while 9.3 TFLOPS matches RTX 2070 SUPER's 9.1 TFLOPS closely.
P100 accommodates larger datasets with 16 GB VRAM versus 8 GB, and NVLink aids multi-GPU fine-tuning unavailable on RTX 2070 SUPER.
RTX 2070 SUPER's Turing tensor cores optimize diffusion workloads at 9.1 TFLOPS FP16 with lower 215 W TDP for consumer setups.
P100's NVLink and 732 GB/s bandwidth enable efficient multi-GPU simulations, surpassing RTX 2070 SUPER's PCIe limitations.
Frequently Asked Questions
What is the VRAM difference between NVIDIA Tesla P100 and RTX 2070 SUPER?▾
The P100 provides 16 GB HBM2 VRAM, double the RTX 2070 SUPER's 8 GB GDDR6. This difference allows P100 to load larger models. Bandwidth reaches 732 GB/s on P100 versus 448 GB/s on RTX 2070 SUPER.
Which has higher performance, P100 or RTX 2070 SUPER?▾
Both deliver similar FP16 and FP32 at 9.3 TFLOPS for P100 and 9.1 TFLOPS for RTX 2070 SUPER. P100 leads in memory bandwidth at 732 GB/s over 448 GB/s. Choice depends on workload memory needs.
What are the power requirements for P100 vs RTX 2070 SUPER?▾
P100 consumes 250 W TDP, higher than RTX 2070 SUPER's 215 W. Lower TDP suits power-limited systems for RTX 2070 SUPER. Both use PCIe, but P100 adds SXM2 option.
Is P100 available for cloud rental compared to RTX 2070 SUPER?▾
P100 offers cloud pricing from $0.60 per hour across one live offer. RTX 2070 SUPER has no live cloud offers currently. P100 provides datacenter reliability.
Does RTX 2070 SUPER support NVLink like P100?▾
P100 includes NVLink for multi-GPU interconnect, absent on RTX 2070 SUPER which uses PCIe only. This makes P100 better for scaled computing. Form factors differ with P100 also in SXM2.
P100 vs RTX 2070 SUPER for machine learning training?▾
P100 suits training better with 16 GB VRAM and 732 GB/s bandwidth for large batches. RTX 2070 SUPER matches compute at 9.1 TFLOPS but limits at 8 GB VRAM. Cloud access favors P100.
Which is cheaper to rent, the P100 or the RTX 2070?▾
Cloud rental prices for both the P100 and RTX 2070 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 2070?▾
The P100 has 16 GB of HBM2 memory. The RTX 2070 has 8 GB of GDDR6 memory.
Can I find P100 and RTX 2070 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 2070?▾
The P100 uses the Pascal architecture (2016) while the RTX 2070 uses Turing (2018). The P100 delivers 1.2x the FP16 throughput and 1.6x the memory bandwidth of the RTX 2070.