databricks

Daily push, one step at a time: Databricks provides managed services for open-source models like Kimi, with Asia’s GPU capacity nearly exhausted. Demand continues to grow in Japan, South Korea, the United States, and India.

Kimi’s strength isn’t only on the consumer side—GPU demand on the B2B side is also surging. Databricks’ customers want compute power; Databricks needs to buy GPUs. Buying GPUs requires massive fundraising—every link in the chain is saying “not enough.”

In its quarterly report, Alibaba reported cloud growth of 40%+. Meanwhile, Databricks’ Asia capacity is running out. The arms race for AI compute has shifted from “whose model is better” to “who has more GPUs.” This is a war on the supply side; the demand side has never been the problem.

#AI #GPU #Databricks

Databricks has rolled out the open-source Agent orchestration tool, Omnigent, tackling the challenges of multi-Agent collaboration and security control.

Databricks has open-sourced the Agent orchestration framework Omnigent under the Apache 2.0 license, which runs on existing tools like Claude Code, Codex, and Pi, allowing different frameworks' agents to be transformed into interoperable system components. Omnigent implements stateful security controls directly at the orchestration layer, supporting the interception of git push actions after agents download npm dependencies, requesting manual approval, or setting LLM cost limits to pause operations when cumulative costs hit $100. The framework also integrates a network request sandbox to prevent sensitive information leaks.

Why it matters: Omnigent fills the interoperability gap in multi-Agent orchestration, providing crucial security control infrastructure for AI Agents transitioning from experimental to enterprise-level deployment.

#Databricks #AI #Agent #open-source