Snowflake has integrated Malaysia’s ILMU large‑language model into its AI Data Cloud to enable Malaysian enterprises to run sovereign, in‑country AI workloads with strong data governance and residency guarantees.
The move builds on Snowflake’s planned local instance on the AWS Asia Pacific (Malaysia) Region, which is set to go live in H1 of 2026 and will keep customer data onshore while tapping a global‑scale AI platform.
For Malaysia, this integration accelerates the government’s AI Nation agenda by giving local banks, public‑sector agencies and enterprises a trusted, compliant way to deploy AI trained on local data and context.
It aligns with Malaysia’s National Cloud Computing Policy and the push for a Sovereign AI Cloud, helping the country reduce reliance on foreign‑hosted models while strengthening data sovereignty and regulatory compliance.
“With Snowflake now available in the AWS Asia Pacific (Malaysia) region and the integration of ILMU into our platform, we are giving Malaysian enterprises the confidence to adopt AI securely within their enterprise data environment, in the language their customers speak, without compromising on governance or compliance,” said Satchit Joglekar, Regional Vice President of Snowflake Asean.
“The integration of ILMU Sovereign LLM with the Snowflake environment represents a significant milestone in localising high-performance AI. By enabling seamless access to Malaysia’s national language model on a secure, global platform like Snowflake, we are ensuring that Malaysian enterprises can deploy AI solutions that are culturally relevant, legally compliant and hosted in Malaysia,” said Foong Chee Mun, CEO of YTL AI Labs, which developed ILMU.
Photo: Edward Lim
Entelechy Asia 