Akshay Malik

Akshay Malik builds AI infrastructure at Anyscale, where his work includes Ray Serve and managed model serving. He coauthored the Ray Serve general-availability announcement and a technical guide to replica compaction for more efficient inference.

Career

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Based in: San Francisco

Anyscale

Until Present

Head of Ray

Works on Ray Serve and managed model-serving infrastructure, including scalable production deployment and resource efficiency.

UC Berkeley Haas School of Business

MBA

University of Illinois Urbana-Champaign

Bachelor's studies

Products & media

anyscale.com

Ray Serve: Tackling the cost and complexity of serving AI in production

Akshay, Edward Oakes and Phi Nguyen explain how Ray Serve and Anyscale Services handle deployment, scaling and reliability for production AI applications.

anyscale.com

Deploy Ray Serve with up to 50% fewer nodes using Anyscale Replica Compaction

Akshay, Matt Connor and Cindy Zhang explain how replica compaction consolidates Ray Serve workloads onto fewer nodes to improve inference efficiency.

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Akshay Malik

Anyscale

UC Berkeley Haas School of Business

University of Illinois Urbana-Champaign

Products & media

Ray Serve: Tackling the cost and complexity of serving AI in production

Deploy Ray Serve with up to 50% fewer nodes using Anyscale Replica Compaction

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