SkyPilot and Hugging Face launch zero-egress storage integration for multi-cloud AI workloads
SkyPilot and Hugging Face announced a joint integration that allows users to mount Hugging Face Hub repos (including Hugging Face Buckets) directly into SkyPilot jobs using an hf:// URL and HF_TOKEN. This enables running AI workloads—development, training, or serving—on any cloud GPU cluster while reading data from the Hub with zero egress fees. The move simplifies multi-cloud AI workflows by decoupling storage from compute.
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Hugging Face introduces Kernels repository type with redesigned CLIs and security
Hugging Face announced a new 'kernel' repository type on the Hub, along with a major redesign of the project including improved security, revamped CLIs, expanded framework/backend coverage, and a foundation for agentic kernel development. The updates aim to better serve users with compute-specific needs.
Huawei Cloud Agentic Infra: unified infrastructure for general and AI workloads
Huawei Cloud launched Agentic Infra, a unified infrastructure designed to support both general and AI workloads. It includes a new model training and inference platform and an enterprise-grade agent platform, aiming to simplify AI deployment for enterprises.
Microsoft Foundry adds Hugging Face models to managed compute platform
Microsoft Foundry, a platform for building agentic AI applications, now includes Hugging Face models alongside offerings from Microsoft, OpenAI, Anthropic, Meta, Mistral, and DeepSeek. The platform provides a single endpoint and SDKs in Python, C#, JavaScript, and Java, with managed compute for deploying and scaling models. This expands model selection for developers using Foundry's multi-agent orchestration and memory features.
Hugging Face CEO reports open-source AI boom, used by half of Fortune 500
Hugging Face CEO Clem Delangue stated that open-source AI is booming, with the platform now used by roughly half of the Fortune 500. The company has evolved into a GitHub-like hub for AI, where builders share and download open models and datasets.
Inkfold – workspace across multiple AI providers with shared memory
Inkfold is a workspace that lets users interact with multiple AI providers (e.g., OpenAI, Anthropic) through a unified interface, with a shared memory system that persists context across sessions. It solves the problem of managing separate chat histories and contexts when using different AI models, providing a seamless experience for power users and developers.