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Google and partners released llm-d 1.0, an open-source Kubernetes stack for distributed LLM inference, addressing multi-step agent workloads that overwhelm single-machine setups.
Google open-sources TorchTPU, enabling native PyTorch execution on TPUs with minimal code changes, expanding hardware choices for AI workloads.
Microsoft unveiled expanded Microsoft Sovereign Cloud features in Paris, aiming to give organizations more control over sensitive workloads across public and private cloud environments.
Google Distributed Cloud air-gapped now supports enterprise search with Gemini, open-weight models, and ISV applications, enabling sovereign AI deployments without performance tradeoffs.
Google introduces Gemini for government services in preview, offering an AI agent tailored to public sector workflows with built-in governance and secure system integration.
HP reduced CDP setup time from months to hours and cut costs by 40% by consolidating marketing data into Databricks CustomerLake and Genie, enabling faster audience activation and governed data sharing.
Apple’s AnyLanguageModel 1.0 simplifies local and hosted model integration for Swift apps, replacing Foundation Models with a unified API and expanding supported providers.
PyTorch 2.15 introduces FP8 support on MPS, faster language-model decoding, and new Metal kernels for audio, video, and training workloads on Apple silicon Macs.
Hugging Face introduces TorchTPU, a native PyTorch backend enabling direct TPU support for Transformers, Diffusers, and Kernels, eliminating prior software barriers.
Databricks advances CustomerLake to Beta and Private Preview, enabling faster audience builds, lower CDP costs, and agent-driven marketing workflows for enterprises like HP and AB InBev.
Snowflake expands Snowflake Decision with lower-latency models and REST API support for real-time, structured AI decisions in workflows like fraud checks and agent triage.
GitHub Copilot users can now transfer active agent sessions from the Copilot app directly into VS Code, preserving conversation history, code changes, and context for seamless continuation of work.
Google’s Gemini Notebook now lets users guide the creation of slide decks and video overviews step by step, with optional review and feedback before final output.
Athlete stylist Sydney Bordonaro uses Google’s Gemini to visualize outfits for clients remotely, enabling real-time adjustments and confidence-building before purchases.
Google Cloud and RemotiveLabs introduce a cloud-native approach to develop and test entire virtual vehicles, including microchips and control modules, enabling faster software-defined vehicle integration before hardware...
Google introduces MCP Apps in Gemini Enterprise to enable interactive, visual workflows within chat, reducing latency and improving real-time collaboration for complex tasks.
Google Cloud outlines why AI evaluators can be unreliable and proposes a three-step method to audit their quality before trusting their judgments.
Snowflake deployed an AI agent to autonomously diagnose and repair broken data pipelines, reducing incident resolution to under 16 minutes on average.
Databricks expands its New York R&D hub at 5 Bryant Park to 120,000 square feet, doubling capacity to support growing AI research and enterprise product development teams.
AI CRMs integrate predictive models and agents to automate workflows, but selecting the right platform requires evaluating data unification, governance, and cost at scale.
Google has been recognized as a Leader in the IDC MarketScape for Agentic AI Platforms 2026, highlighting its enterprise-ready AI deployment capabilities.
OpenCode and Claude Code are AI coding tools with different approaches to access, cost, and flexibility for developers.
Google Cloud and Wiz launched a managed runtime threat detection add-on for GKE clusters, integrating Wiz’s eBPF-based sensor directly into the platform to reduce operational overhead and improve security posture.
Google Cloud proposes a three-layer architecture to run compute-intensive biotech simulations while keeping proprietary data secure and workflows reliable.
Google outlines four evaluation engineering lessons from building the Cloud Developer plugin, emphasizing execution verification over final output and the need for dual live and plan-only testing.
Google Cloud outlines the SAVE method to engineer trustworthy generative media by separating research from creative tasks and enforcing verified inputs and structured checks.
Hugging Face and partners released a 2.8 trillion-token Indic pretraining corpus with an open GPU pipeline, aiming to expand Indian-language AI resources and technical model development.
Hugging Face introduces Beam, a 501B-parameter open MoE model by Reflection, designed for coding and agentic tasks with a 1M-token context window and Apache 2.0 licensing.
Databricks’ AI Research team relies on AI Runtime to accelerate model development, scale training workloads, and support agent-led research, reducing infrastructure overhead and enabling faster experimentation.
Hugging Face’s Granite Switch 4.1 integrates chat, decision-making, and speech-to-text into a single endpoint, reducing GPU overhead and accelerating multi-task workflows with shared KV caches and optimized adapters.