AI Briefing#google-cloud
The latest AI and developer news about #google-cloud, with the original source and a short summary.
The latest AI and developer news about #google-cloud, with the original source and a short summary.
The A5X platform integrates Vera Rubin NVL72 with Google Cloud Virgo Network to support large-scale reinforcement learning and agentic inference.
The new deployment option allows organizations to run sensitive workloads on dedicated third-party infrastructure while retaining control of models and data.
Draft S-1 reveals $16.3B first-half 2026 revenue, $80.7B paper loss, and $450B in total signed compute deals, including major commitments with Google, AWS, and Microsoft.
The platform now offers over 200 models on a unified enterprise AI platform, with OpenAI models rolling out in private preview to select enterprise customers.
Recursively improving agent harnesses without ground-truth labels raised benchmark scores by up to 11.5 points.
The models are available across Antigravity 2.0, CLI, and IDE extensions, billed pay-as-you-go rather than from pooled Gemini quotas.
Transformers, Diffusers, and Kernels now run natively on TPUs using the TorchTPU backend, eliminating the need for torch_xla or JAX.
The preview offers agencies skills, connectors, and partner agents with built-in governance for federal, state, and local workflows.
The new vllm-torchtpu plugin allows standard PyTorch models to run on TPU v7x with no code changes, using custom JAX/Pallas kernels for attention and quantization.
The inaugural assessment highlights Gemini's ability to deploy agents across enterprise surfaces with built-in governance and access to over 200 models.
The method addresses specific biases like verbosity and position bias, where LLM judges can flip verdicts or miss errors up to 75% of the time.
Google Cloud and RemotiveLabs enable full virtual vehicle development on Arm-based infrastructure, using RemotiveTopology to simulate the full electrical and electronic architecture.
Replit offers three deployment tiers—Full BYOC, BYOC for Published Apps, and Image Exports—allowing enterprises to host development and production environments within their own cloud tenants.
The pattern separates cognitive reasoning from GPU-intensive execution using NVIDIA NIMs on GKE and Gemini platform governance.
The lessons, derived from the Google Cloud Developer plugin, emphasize grading execution trajectories over final text and running live versus plan-only tests side-by-side.
The Gemini agent is not yet publicly available, but startups can contact sales to prepare for its launch.
The initiative grants direct access to tools like AlphaFold 3 and WeatherNext to support the EU’s RAISE initiative.
Administrators can now set daily quotas on AI input and output tokens at both the project and per-user levels to prevent budget overruns.
Gemini 4 Argon launches with introductory pricing of $2 per million input tokens through November 30, 2026.
Google Cloud reports that Irish organizations, from Ryanair to startups, are deploying Gemini Enterprise to advance technical foundations and workflows.
Google announced the Gemini agent, a universal AI for work that operates across Google Workspace and Microsoft 365, featuring multi-agent orchestration and persistent cloud execution.
AI21 eliminated 20 weekly manual interventions and reduced hero job starvation from 72 to 12 hours by implementing Kueue on a 10,000-GPU cluster.
The new server exposes gcloud and bq commands to AI agents via a secure, network-isolated sandbox with no additional charge for the MCP service itself.
The guide details how to use the managed RLFT service to adapt Gemini for tasks that are easy to score but hard to demonstrate, such as code execution and content moderation.