When Kubernetes first came onto the scene, it was a major turning point, a revision of the infrastructure and operations space that transformed the way developers and ops personnel build, deploy, and maintain applications in the cloud. It has since become the clear standard for how modern applications are built and operated. As the CNCF […]
Microsoft has introduced usage-based billing for Copilot Cowork, which is now generally available.
Microsoft unveiled Copilot Cowork in March, pitching it as an AI agent that’s capable of independently performing long-running, multi-step tasks — even when a user’s computer is off.
It’s built on the same technology that underpins Anthropic’s Claude Cowork. Unlike Claude Cowork, which can interact directly with files and applications on a user’s computer, Copilot Cowork runs in Microsoft’s cloud environment and acts on documents held in a customer’s Microsoft 365 tenant.
Copilot Cowork now comes with usage-based billing.
Microsoft
On Tuesday, Microsoft unveiled pricing details for Copilot Cowork, which involves usage-based billing in addition to a Microsoft 365 Copilot license ($30 per user each month for large enterprises before discounts, and $20 for Microsoft 365 Copilot for Business).
The usage-based pricing is calculated from four components, according to Microsoft: “model
As tech giants rush to build big data centers, some residents who live near them say a constant low-frequency vibration is ruining their health and homes.
Amazon's massive data center investments highlight the escalating demand for cloud and AI infrastructure, reshaping regional economies.
The post Amazon invests $20B to build new data center campus in Maryland appeared first on Crypto Briefing.
State Information Technology Services officials said the enterprise agreement lowers costs, simplifies acquisition and expands access to AI tools and training for more than 130,000 state employees.
A systems-level deep dive into the hidden microarchitectural costs of Kubernetes GPU time-slicing, and what it actually costs to co-locate Agentic AI workloads.
The post GPU Time-Slicing for Concurrent LLM Agents on Kubernetes appeared first on Towards Data Science.
The new DiffusionGemma open model generates text in parallel — not one token at a time — and is optimized to run on the NVIDIA RTX PRO platform, NVIDIA DGX […]
The post NVIDIA Accelerates Google DeepMind’s DiffusionGemma for Local AI appeared first on AIwire.
Kimi Work's local AI agents could revolutionize productivity by enhancing data privacy and efficiency in complex workflows.
The post Moonshot AI’s Kimi Work unleashes 300 AI agents on your desktop, no cloud required appeared first on Crypto Briefing.
For years, the cloud market has made a simple promise: Move workloads to large-scale platforms, gain better resilience, and worry less about downtime. That promise was never entirely wrong, but it is becoming less complete. The latest findings from Uptime Institute’s seventh Annual Outage Analysis suggest that the outage landscape is changing in ways that should concern both cloud providers and cloud customers. The biggest risks are no longer limited to broken physical infrastructure. They are increasingly tied to the complexity of the systems used to run, coordinate, update, and recover that infrastructure.
The most alarming number in the report is that IT and networking issues accounted for 23% of impactful outages in 2024. Uptime Institute links these increases to growing IT and network complexity; the long-term shift toward colocation, cloud, and third-party digital services; and the resulting increase in change-management failures and misconfigurations. That number is more than a
