AI Insider·
Amazon Web Services is in early talks to sell its proprietary Trainium AI chips to external companies for use in their own data centers, marking a significant potential escalation in the rivalry between AWS and Nvidia. The move was confirmed by Amazon’s AI chief Peter DeSantis, who declined to name prospective buyers, and by AWS […]
Read full articleThe resurgence of CPUs in AI inference tasks could reshape the semiconductor landscape, challenging Nvidia's dominance and impacting market dynamics. The post Chipmakers renew performance tussle as CPUs challenge Nvidia’s dominance appeared first on Crypto Briefing.
Enterprises implementing agentic AI face a challenge: Which tools should they allow their agents to use, where can they be found, and how can they be used safely? A new protocol, Agentic Resource Discovery, or ARD, aims to let agents answer those questions for themselves. Behind it are Google, Microsoft, Cisco, Nvidia, Salesforce and others. ARD aims to standardize the way that tools and services are shared across systems within a corporate domain. For example, when investigating a production problem, an agent may want to query engineering documentation and open support tickets, deployment history and observability systems, all of which could be managed by different registries and across different silos. There is no common layer that pulls them together. ARD has been designed to be that layer. It operates across two levels. Catalogs and Registries. In the first, an organization publishes a catalog setting out its available capabilities. The Registries layer act as a form of search engi
Enterprises implementing agentic AI face a challenge: Which tools should they allow their agents to use, where can they be found, and how can they be used safely? A new protocol, Agentic Resource Discovery, or ARD, aims to let agents answer those questions for themselves. Behind it are Google, Microsoft, Cisco, Nvidia, Salesforce and others. ARD aims to standardize the way that tools and services are shared across systems within a corporate domain. For example, when investigating a production problem, an agent may want to query engineering documentation and open support tickets, deployment history and observability systems, all of which could be managed by different registries and across different silos. There is no common layer that pulls them together. ARD has been designed to be that layer. It operates across two levels. Catalogs and Registries. In the first, an organization publishes a catalog setting out its available capabilities. The Registries layer act as a form of search engi
Amazon Web Services, the company’s cloud-computing arm, has opened discussions with potential customers looking to use its custom Trainium chips.
Z.ai's GLM-5.2 sits within 1% of Claude Opus 4.8 on long-horizon coding benchmarks, runs entirely on Huawei silicon, and undercuts Western frontier models by up to 82% per token.
In a consequential grid infrastructure decision, the Federal Energy Regulatory Commission (FERC) today issued a major milestone on large-load interconnection impacting how those building AI factories, semiconductor fabrication support systems and advanced manufacturing facilities can connect to the grid. In the era of AI, which NVIDIA founder and CEO Jensen Huang has described as a […]
AWS is in talks to sell its chips to other data centers. CEO Andy Jassy has said this represents a $50 billion opportunity for the company.
Amazon's move to sell AI chips externally could reshape the AI hardware market, intensifying competition and diversifying cloud strategies. The post Amazon in talks to sell custom AI chips to data centers appeared first on Crypto Briefing.
