Tesla P100 Gpu

The NVIDIA Tesla P100 has emerged as the "ultra-budget floor" of the 2026 AI and compute market, primarily valued for its 16GB HBM2 VRAM at an entry cost significantly lower than modern alternatives TinycomputersGetdeploying. While its age (Pascal architecture) means it lacks Tensor Cores, it remains a highly relevant "hidden gem" for hobbyists, entry-level AI research, and high-precision scientific computing RedditNote.

Market Trends & Pricing (2025–2026)

* Budget Accessibility: Second-hand retail prices have bottomed out at approximately $83 USD, achieving a value ratio of $5/GB of VRAM—nearly 5x more cost-effective per GB than an RTX 3090 GpupoetTinycomputers.

* Wholesale Dynamics: Bulk listings on B2B platforms range from $100 to $400+ per unit depending on condition and order volume. For example, some suppliers offer a tiered price of $100/unit for orders exceeding 100 pieces Alibaba.

* Cloud Inflation: Interestingly, while hardware prices are low, cloud on-demand rates for P100 instances surged 32% in the past year (to ~$1.62/hr), driven by high demand for any available AI compute capacity Getdeploying.

Performance Insights

* AI Inference: The P100 is a "workhorse" for 7B-class LLMs (like Llama 3.1) in quantized forms. It delivers up to 10x speedups over CPUs for BERT-based NLP tasks TinycomputersGetdeploying.

* FP64 Advantage: Unlike many modern consumer GPUs, the P100 maintains high double-precision (FP64) performance, making it still valuable for specific scientific and financial simulations MicrowayNvidia.

* Key Constraint: The absence of Tensor Cores prevents it from using hardware acceleration for newer INT8/BF16 formats, limiting its efficiency compared to the subsequent Tesla V100 or A100 models GetdeployingNote.