To address the growing complexity of managing AI agents at scale, Google Cloud introduced the Gemini Enterprise Agent Platform.Google Cloud on Wednesday announced a series of artificial intelligence (AI) and infrastructure updates at its Cloud Next event, including a new enterprise agent platform for Gemini, expanded cybersecurity offerings in partnership with Wiz, and the launch of its eighth-generation Tensor Processing Units (TPUs).
The company said its first-party AI models are now processing more than 16 billion tokens per minute through direct API usage by customers, up from 10 billion in the previous quarter. Google Cloud added that in 2026, just over half of its overall machine learning compute investment is expected to be allocated to the Cloud business, according to company’s blog post.
Google Cloud CEO Thomas Kurian said the company is firmly in the “agentic Gemini era” and is focusing on enabling enterprises to build and manage large-scale AI agent deployments.
“In Q1, we saw 40 per cent growth in paid monthly active users quarter-over-quarter,” said Kurian, referring to Gemini Enterprise adoption.
To address the growing complexity of managing AI agents at scale, Google Cloud introduced the Gemini Enterprise Agent Platform, which it described as a secure full-stack system designed to help enterprises build, scale, govern and optimise AI agents.
“The conversation has gone from ‘Can we build an agent?’ to ‘How do we manage thousands of them?’” Kurian said.
Security upgrades with Wiz
Google Cloud also announced new AI-powered cybersecurity solutions aimed at helping customers detect and respond to threats. The company said the offerings will be part of an AI-driven security platform that combines Google’s threat intelligence and security operations capabilities with Wiz’s cloud and AI security platform.
As part of the partnership, Google Cloud said Wiz is also launching its new AI Application Protection Platform (AI-APP), which will provide autonomous protection across code, cloud and runtime environments in multicloud and hybrid deployments.
Eighth-generation TPUs for training and inference
In a major infrastructure update, Google Cloud introduced its eighth-generation TPUs, featuring a dual-chip strategy designed to support the next phase of AI workloads.
The TPU 8t, optimised for training, will scale up to 9,600 TPUs and offer up to 2 petabytes of shared high-bandwidth memory in a single superpod. Google said it delivers three times the processing power of its Ironwood system and up to two times better performance per watt.
The TPU 8i, designed for inference, will connect 1,152 TPUs in a single pod, aimed at lowering latency and improving throughput. Google said it offers three times more on-chip SRAM, enabling cost-effective execution of millions of AI agents simultaneously.
The TPUs will be offered to cloud customers alongside a portfolio of NVIDIA GPU instances.
Google positions itself as “customer zero”
Google Cloud also highlighted its internal use of AI tools, positioning itself as a “customer zero” for its own technologies.
Kurian said 75 per cent of new code at Google is now AI-generated and approved by engineers, up from 50 per cent last fall. He added that AI-enabled workflows have helped accelerate complex code migrations, with one recent project completed six times faster than what was possible a year ago.
Google also said its Security Operations Center agents automatically triage tens of thousands of threat reports each month, cutting threat mitigation time by over 90 per cent.
In marketing operations, the company said its AI models helped generate thousands of creative asset variations for the launch of Gemini in Chrome, resulting in a 70 per cent faster turnaround and a 20 per cent increase in conversions.
Google said it will share more updates on its AI roadmap and technology rollout at Google I/O on May 19.
Published On Apr 23, 2026 at 11:50 AM IST
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