Specifications Compared
| Spec | P100 | RTX-2060 |
|---|---|---|
| TDP | 250W | 160W |
| VRAM | 16 GB | 6-12 GB |
| CUDA Cores | 3,584 | 1,920 |
| Memory Type | HBM2 | GDDR6 |
| Architecture | Pascal | Turing |
| Form Factors | SXM2, PCIe | PCIe |
| Interconnect | NVLink | |
| FP16 Performance | 9.3 TFLOPS | 6.5 TFLOPS |
| FP32 Performance | 9.3 TFLOPS | 6.5 TFLOPS |
| FP64 Performance | 4.7 TFLOPS | |
| Memory Bandwidth | 732 GB/s | 336 GB/s |
Performance Analysis
Raw compute power favors the P100 decisively: 9.3 TFLOPS FP32 supports faster model training passes, and equivalent FP16 enables efficient mixed-precision workflows compared to the RTX 2060 Super's 7.2 TFLOPS limits. In inference scenarios, this translates to higher throughput for batch processing in deep learning frameworks.
Memory specifications provide the P100 with a substantial edge: 16 GB HBM2 at 732 GB/s bandwidth accommodates larger batch sizes and bigger models without swapping, whereas the RTX 2060 Super's 8 GB GDDR6 at 448 GB/s constrains memory-bound tasks like high-resolution image generation or large-sequence NLP. This gap impacts scalability in training loops where data movement dominates.
Power efficiency highlights trade-offs: the P100's 250W TDP suits server-grade deployments, while the RTX 2060 Super's 175W fits edge or desktop use with lower cooling needs.
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
Datacenter-scale AI training demands the P100: its 16 GB VRAM and 732 GB/s bandwidth handle massive datasets infeasible on the RTX 2060 Super's 8 GB capacity. NVLink enables multi-GPU synchronization for distributed workloads at $0.60 per hour cloud pricing.
Scientific simulations benefit from 9.3 TFLOPS FP32 performance in sustained server environments.
When to Choose the RTX 2060 SUPER
Local prototyping and gaming-ML hybrids favor the RTX 2060 Super: 7.2 TFLOPS FP16 suffices for small-scale fine-tuning, and 175W TDP minimizes power draw without cloud dependency. Absence of live cloud offers makes on-premise ownership practical.
Ray-tracing accelerated tasks leverage Turing-specific cores unavailable on the P100.
Use Cases
The P100's 16 GB VRAM and 732 GB/s bandwidth support large batch sizes for billion-parameter models. The RTX 2060 Super's 8 GB limits scalability.
Higher 9.3 TFLOPS FP16 on P100 delivers greater throughput for batched queries. RTX 2060 Super's 7.2 TFLOPS suits only smaller deployments.
P100 accommodates full model loading with 16 GB HBM2 versus RTX 2060 Super's 8 GB constraint. NVLink aids multi-GPU fine-tuning.
RTX 2060 Super's Turing tensor cores optimize image generation at 448 GB/s bandwidth. Lower 175W TDP fits consumer setups.
P100's 9.3 TFLOPS FP32 excels in simulations with high memory needs via 732 GB/s. Datacenter form factors ensure reliability.
Frequently Asked Questions
Which GPU has more VRAM?▾
The P100 provides 16 GB HBM2, twice the RTX 2060 Super's 8 GB GDDR6. This difference allows larger models in training. Bandwidth reinforces this at 732 GB/s versus 448 GB/s.
What are the FP32 performance differences?▾
P100 achieves 9.3 TFLOPS FP32, surpassing the RTX 2060 Super's 7.2 TFLOPS. This impacts training speed directly. FP16 matches at the same rates for both.
How do power requirements compare?▾
P100 draws 250W TDP for server use, higher than RTX 2060 Super's 175W. Lower TDP aids desktop efficiency. Both use PCIe form factors.
Is cloud pricing available for these GPUs?▾
P100 offers start from $0.60 per hour, averaging $0.60 across one live deal. RTX 2060 Super has no live cloud offers. This makes P100 more accessible remotely.
Which supports multi-GPU interconnects?▾
P100 includes NVLink for high-speed scaling. RTX 2060 Super lacks dedicated interconnects. This suits P100 for clusters.
What architectures do they use?▾
P100 runs Pascal from 2016, optimized for compute. RTX 2060 Super uses Turing from 2019 with ray tracing. Compute specs favor P100 at 9.3 TFLOPS.
Which is cheaper to rent, the P100 or the RTX 2060?▾
Cloud rental prices for both the P100 and RTX 2060 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 2060?▾
The P100 has 16 GB of HBM2 memory. The RTX 2060 has 6 to 12 GB of GDDR6 memory.
Can I find P100 and RTX 2060 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 2060?▾
The P100 uses the Pascal architecture (2016) while the RTX 2060 uses Turing (2019). The P100 delivers 1.4x the FP16 throughput and 2.2x the memory bandwidth of the RTX 2060.