
Serverless Solutions Seek to Relieve Large Scale Computing Needs and Cost Demands in the Cloud
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Authors: Thomas Sorensen & Earl Joseph
Publication Date: December 202024
Length: 1 pages
In an announcement made in late November, 2024, recent US-based start-up Kinesis Network announced the launch of their serverless feature targeted to enable users to fluidly run workloads in a multi-cloud environment. By leveraging underutilized GPU capacity in cloud environments, Kinesis hopes to help organizations reduce infrastructure costs by up to 90% while providing access to high-performance GPUs for AI and data-intensive tasks. Founded by industry veterans from AWS, IBM, and Microsoft, Kinesis is gaining attention as AI and HPC/AI integrated organizations grapple with the high costs of cloud computing, increased demands for advanced computing power, and a continuing need for flexible, scalable access to processing capability.
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