Google Cloud stories
Most enterprises will need costly infrastructure changes before agentic AI can move from pilots to production, Google Cloud research says.
Large language model post-training could get cheaper as idle accelerator time is cut from about 60% to 30% in early tests.
The switch has cut Voicify's model costs by up to 30% while helping the platform keep restaurant and healthcare calls flowing at peak times.
Partners will be able to sell higher-margin advisory and managed services as organisations brace for AI-driven identity sprawl and PQC risk.
Most manufacturers are still testing physical AI, even as they expect it to reshape warehouses, assembly lines and logistics operations.
By isolating early tests from its core systems, the video platform hopes to turn brittle AI ideas into user research in weeks rather than months.
By shifting orchestration to Google Cloud's managed service, the payments firm cut monthly data platform costs by about 30% and improved reliability.
Early cloud deployments and benchmark gains signal NVIDIA's latest rack-scale AI platform is moving into commercial use as data centres chase efficiency.
Throughput for AI vector searches can rise fourfold on AlloyDB, as Google's preview aims to cut latency without changing pgvector code.
Developers may get patched code faster as Google's preview agent scans repositories, tests exploits and drafts fixes for review.
Cloud operators can now use IAM conditions to curb privilege escalation and narrow access to MCP tools, BigQuery and logs.
More than 1,000 engineers and executives are expected in Warsaw as digital firms face mounting pressure to keep systems fast and reliable at scale.
Downtime risk is lower for apps running across multiple regions, as traffic can now shift to a healthy Cloud Run region within seconds.
Cloud-based testing could cut prototype costs as Panasonic Automotive brings cockpit software validation closer to production hardware.
Businesses could cut AI data-handling costs sharply as NetApp adds DataPelago's zero-copy processing to its storage platform.
Developers can now use Google Cloud's examples to build and govern Gemini-powered agents for approvals, compliance and data workflows.
The preview could ease multi-region compliance headaches by letting organisations apply column-level security through global tags and regional policies.
Fraud teams could cut investigation time by 90% as the new stack combines real-time scoring, case assembly and human review in milliseconds.
Security teams can now cut manual policy work as AlgoSec adds automation, risk analysis and compliance reporting across hybrid and multi-cloud environments.
That could cut cloud migration risk and planning time for firms moving workloads across Amazon Web Services, Azure and Google Cloud Platform.