The company announced these developments Wednesday (April 22) in conjunction with its Cloud Next event in Las Vegas.
Google’s new Gemini Enterprise Agent Platform provides a system for building, scaling, governing and optimizing agents. It builds upon the company’s existing AI development platform, Vertex AI, by combining model selection, model building and agent building capabilities with new features for agent integration, DevOps, orchestration and security, according to a Wednesday press release.
The company also introduced three new agents in Google Security Operations to help organizations defend against the malicious use of AI. These include a Threat Hunting agent that searches for novel attack patterns and stealthy adversary behaviors, a Detection Engineering agent that identifies coverage gaps and creates new detections for threat scenarios, and a Third-Party Context agent that enriches workflows with contextual data from third-party content, per a Wednesday press release.
Google Cloud’s new $750 million fund will provide resources and incentives to global consulting firms, systems integrators, software providers and channel partners to help their joint customers adopt agentic AI. Resources available to partners will include AI value assessments, Gemini proofs-of-concept, Gemini Enterprises practice building, agentic AI prototyping and development, Wiz security assessments and usage incentives, according to a Wednesday press release.
The new agreement with Thinking Machines Lab will see Google Cloud provide the AI startup with additional AI infrastructure capabilities and capacity, including A4X Max VMs with Nvidia GB300 GPUs as well as services such as Kubernetes Engine, Spanner, Cluster Director, Cloud Storage and Anywhere Cache. Myle Ott, founding researcher at Thinking Machines Lab, said in a Wednesday press release that this infrastructure got the company running “at record speed.”
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Sundar Pichai, CEO of Google and Alphabet, said in a Wednesday blog post that the pace of technological change has never been faster than it has been over the past year.
“Our first-party models now process more than 16 billion tokens per minute via direct API use by our customers, up from 10 billion last quarter,” Pichai said.
