Kinara’s Strategic Alliances with Ampere, Mirasys Spearhead AI Advancements

AI

Kinara, a developer specializing in AI processors for edge computing and Generative AI, has announced collaborative ventures with Ampere and Mirasys, aimed at promoting the widespread adoption of AI solutions across industries.

 

The collaboration between Kinara and Ampere forms a key aspect of the AI Platform Alliance, initiated by Ampere and supported by Kinara alongside eight other companies. This consortium is dedicated to simplifying systems, encouraging collaborative efforts, and enhancing the openness of AI solutions. Their collective aim is to improve hardware efficiency for AI performance, challenging the existing dominance of GPU-based solutions in the industry.

 

Jeff Wittich, Chief Product Officer at Ampere, highlighted the consortium’s objectives, emphasizing a move beyond GPU-based standards and an accelerated pace of AI innovation through enhanced efficiency and transparency.

 

Simultaneously, Kinara’s partnership with Mirasys has led to the integration of Kinara’s Ara-1 Edge AI processors into Mirasys’ platforms. This collaboration aims to revolutionize real-time edge-based video analytics, particularly in smart retail and banking sectors. The alliance seeks to offer cost-effective AI solutions while enhancing performance, reliability, and security, with an added emphasis on optimizing resource utilization and reducing operational costs.

 

Arindam Das Sarkar, Managing Director of Mirasys (India), expressed optimism about the collaboration, highlighting the potential for democratizing AI benefits without extensive infrastructure investments, aligning with sustainable AI goals.

 

Ravi Annavajjhala, CEO of Kinara, stressed the significance of their involvement in the AI Platform Alliance and the promotion of dedicated Edge AI processors to facilitate the adoption of more open AI solutions. Annavajjhala also underscored the potential impact of the collaboration with Mirasys in enhancing safety, security, and operational efficiency for businesses.

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