P10 Video Card
Overview
Product sourcing insights & recommendations


The phrase 'P10 video card' refers to a specialized, high-density professional GPU from NVIDIA's Pascal era, known officially as the NVIDIA Tesla P10. While it is less commonly discussed than its flagship counterparts, it occupies a unique niche in the data center and used hardware markets.
1. Product Overview: The NVIDIA Tesla P10
The Tesla P10 was designed as a single-slot, power-efficient alternative to the dual-slot Tesla P100. It is based on the GP102 architecture (the same chip found in the TITAN Xp and GTX 1080 Ti) but optimized for high-density server environments. Techpowerup
Key Technical Specifications:
* Memory: 24 GB GDDR5X (providing a massive frame buffer for its size).
* Power: 150W TDP (significantly lower than the 250W-300W of the P100). Technical
* Performance: ~11.5 TFLOPS FP32 compute, making it highly effective for single-precision tasks like video transcoding and inference.
* Form Factor: Single-slot PCIe, allowing for higher GPU density in standard rack servers.
2. Market Trends & Insights (2026 Context)
In the 2026 market landscape, the P10 and its Pascal-era siblings (P40, P100) have transitioned from enterprise mainstays to entry-level legacy hardware favored by budget AI enthusiasts and home lab operators. Silicondata
* Secondary Market Saturation: Decommissioned Pascal cards have hit a price floor. The Tesla P100 is now frequently available for $80–$150 on wholesale and secondary platforms like eBay and Alibaba. YoutubeAlibaba
* The AI Capacity vs. Speed Trade-off: The P10's 24GB VRAM remains its primary selling point in 2026. It is a cost-effective choice for running large Language Models (LLMs) that require high memory capacity but not extreme speed. However, it lacks Tensor Cores, meaning it cannot leverage modern AI accelerations like Flash Attention or BF16 data types.
* Software Deprecation Risks: As of 2026, many modern AI libraries (e.g., vLLM, certain PyTorch versions) have begun to deprecate support for Pascal's Compute Capability 6.x. Users are increasingly pivoting toward used Tesla V100 or RTX 3090 cards for better long-term software compatibility. Reddit
3. Comparison: Tesla P10 vs. Tesla P100
While both are from the same generation, they target different workloads:
* Tesla P100: The "AI Powerhouse" with high-bandwidth HBM2 memory and superior double-precision (FP64) performance for scientific research. Nvidia
* Tesla P10: The "Efficiency Specialist" with traditional GDDR5X memory offering higher total capacity (24GB vs 16GB) in a slimmer, lower-power envelope. Techpowerup
For modern sourcing, the Tesla P40 (24GB) is more commonly found in wholesale listings than the P10, serving as the primary alternative for users needing high VRAM at a low entry cost. AlibabaAlibaba
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Sources & References
24 sources cited · Verified industry data & reports

NVIDIA Tesla P10 Specs - GPU Database
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24 GB of GDDR5X memory clocked at 1.81 GHz are supplied, has a length of 267 mm. power consumption is at 150 Watt.

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