CAST AI expands into India's kubernetes market

CAST AI, a U.S.-based Kubernetes automation platform, is expanding into India with a new office in Bengaluru. 

The initiative aims to strengthen ties with India's growing Kubernetes community, enhance collaboration with local partners, and provide customised support to customers, ultimately driving cloud optimisation and efficiency, the company said in a statement on Tuesday.

With the new move, the company aims to venture into the Indian market and expand into the Asia-Pacific region, aligning with its global expansion strategy. 

The expansion is fuelled by India's rapid adoption of Kubernetes and a vibrant developer community, making the country crucial for CAST AI's growth. Demand from companies like 6Sense, ShareChat, and Yubi, which seek to optimise cloud costs and enhance operational efficiency, has also influenced this decision.

By establishing operations in Bengaluru, CAST AI aims to engage more deeply with the local Kubernetes community, improve regional collaboration, customise customer support, and attract top Indian talent. Company leaders express pride in supporting India's dynamic tech landscape and empowering enterprises for the cloud-native era.

At KubeCon + CloudNativeCon 2024, the Cloud Native Computing Foundation’s flagship conference held in Delhi this month, CAST AI announced a new Container Live Migration capability that allows for the movement and resising of stateful workloads across Kubernetes clusters. The company also launched AI Enabler, a tool that helps IT teams direct queries to the most cost-effective large language model (LLM).

Earlier this year, CAST AI introduced AI Optimiser, which uses an LLM Router to analyse user patterns and API key usage, determining the most efficient cloud GPU for running LLMs. 

Organisations are increasingly adopting cloud-native applications, particularly Kubernetes, to manage AI workloads. A recent Pure Storage survey report of companies with 500 or more employees found that 54% are currently using Kubernetes for AI and machine learning tasks. 

Additionally, about 72% of respondents run databases on Kubernetes, and 67% use it for analytics. These figures are expected to grow as more enterprises embrace Kubernetes, driven by the iterative and experimental nature of AI and machine learning model development, the report said.