Hugging Face Blog
Hugging Face added Storage Regions to its Enterprise Hub, allowing organizations to choose where their models and datasets are stored across US and EU locations, with Asia-Pacific coming soon. An organization storing repositories in the EU region can expect 4-5x faster upload and download speeds compared to US storage. This enables compliance with regulations like GDPR and reduces latency for teams working in specific geographic areas.
Introducing Storage Buckets on the Hugging Face Hub
Hugging Face Blog · 4 months ago
Subscribe to Enterprise Hub with your AWS Account
Hugging Face Blog · 2 years ago
Xet is on the Hub
Hugging Face Blog · 1 year ago
Introducing the Private Hub: A New Way to Build With Machine Learning
Hugging Face Blog · 3 years ago
From Chunks to Blocks: Accelerating Uploads and Downloads on the Hub
Hugging Face Blog · 1 year ago
Introducing data residency in Europe
OpenAI Blog · 1 year ago
The daily briefing
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TLDRocket
21 July 2026
The open-weight AI model market hit an inflection point today as Alibaba and Kimi released trillion-parameter competitors that challenge the closed-model orthodoxy—just as Washington moved to restrict them. Alibaba's Qwen 3.8 Max (2.4 trillion parameters) and Kimi K3 (2.8T) are going open-weight, with K3 ranking first on Frontend Web App Arena and fourth on agentic benchmarks, signaling that scale and transparency can coexist. The timing matters: while U.S. policymakers weigh layered restrictions on Chinese open models, technical experts are pushing back hard, arguing that closed gardens actually hurt security and competition more than they help. The real fragmentation risk isn't technical—it's regulatory.
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