Google Cloud stories
Customers can now choose between tighter compliance controls and faster access to new Claude features on Google Cloud without changing billing.
The new service aims to make AI agents faster to start, cheaper to run and safer to isolate as cloud demand shifts beyond chatbots.
Enterprises can now run autonomous AI agents with tighter isolation and governance as Google Cloud expands controls across its own services and other environments.
The startup says more reliable data generation is keeping pre-training on schedule after throughput rose 4.07 times across its production clusters.
Enterprise customers will be able to compare and switch models by cost and performance on one invoice, intensifying cloud rivalry over AI access.
Teams can now analyse images, video and documents in BigQuery without moving them out of Cloud Storage, cutting context loss and extra pipelines.
A proof of concept aims to cut settlement times and reconciliation work in syndicated lending, after modelling a USD $1.945 billion Term Loan B.
Customers managing hundreds of projects can now automate budget controls, with live AI cost reporting and monthly resets reducing manual work.
Google Cloud users can now tap Anthropic's Claude models in Antigravity for coding tasks, broadening model choice across its AI tools.
Rising cloud and AI demand is set to nearly double global data centre spending to USD $645 billion by 2032, the study says.
The move could speed up vehicle software integration by more than 10 times, cutting dependence on hardware benches and test rigs.
The deployment gives regulated firms in France a locally controlled option for finance software amid tighter scrutiny of data sovereignty and cloud compliance.
The open-source stack aims to cut latency and boost accelerator use for AI workloads that now arrive in bursts and compete with interactive requests.
Defence and intelligence users can now query local text, audio and video with Gemini, without moving sensitive data outside their air-gapped perimeter.
The update lets data pipelines keep running when bad rows appear, while malformed Python UDF records are captured in Cloud Logging for later repair.
The upgrade gives enterprise users a live workspace for visual tasks, cutting back-and-forth in Gemini Enterprise while keeping edits synced.
Google says teams should judge AI coding agents on what they execute, after internal tests showed final replies can hide successful tool use.
Biotech researchers could gain tighter control over sensitive data and slower simulations as Google Cloud separates planning, computation and oversight.
Businesses deploying chatbots and AI agents could cut serving bills as the open source project adds production tools for shared infrastructure.
Many agencies are still stuck in pilots, as Google's new government AI tools aim to tackle security, integration and classified search needs.