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Qpisemi AI 2.0 (processors)

Product
Developers: Qpisemi
Date of the premiere of the system: February 2022
Technology: Processors

2022: Processor Announcement

On February 2, 2022, the Indian company Qpisemi announced the sale of processors specifically for applications related to artificial intelligence - AI 2.0. They, according to developers, are 100 times more powerful than GPUs used in data centers. It is assumed that this technology will contribute to the development of technology in the field of bioinformatics, drug discovery, simulation of machine intelligence and optimization of production.

Hindus have created a processor that is 100 times faster than GPU for data centers

Qpisemi offers 3 AI20P options for specific applications:

  • The AI20P00 is designed for data centers and will provide 100x faster processing than the GPU;
  • AI2001 is designed for automotive and metaverse applications that provide teraflop operations for the creation of fully autonomous vehicles along with the AI 2.0 technology framework, which includes reliable software and design of automotive class systems;
  • AI2002 is aimed at smaller form factor applications for security and surveillance systems.

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Although the silicon photonics computing layer and miniature design are the main drivers for the development of AI 2.0 technology, we need to develop new compilers, software libraries, new application interfaces, as well as new systems engineering methods for AI 2.0 software. However, the problem with silicon photon chips is that they are large in size, and integration with electronics is a difficult task. We have solutions to both of these problems. We have technology to scale photonic chips from data centers to the periphery, "said Nagendra Nagaraja, CEO, chairman and co-founder of the AlphaICs.
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In 2022, the subsidiary also plans to release several chips and hardware to meet market demand for quantum chips and quantum communications. Qpisemi management has assembled a team on silicon photonics, and as of February 2022 it is recruiting employees mainly for the development of hardware and compilers.[1]

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