Sunday, January 11, 2026

Firewall Challenge Week 3 – DEV Community

Keep Your Ubuntu-based VPN Server Up to Date

Enterprise-Grade Security for Small Businesses with Linux and Open Source

Ethics for Ephemeral Signals – A Manifesto

When Regex Falls Short – Auditing Discord Bots with AI Reasoning Models

Cisco Live 2025: Bridging the Gap in the Digital Workplace to Achieve ‘Distance Zero’

Agentforce London: Salesforce Reports 78% of UK Companies Embrace Agentic AI

WhatsApp Aims to Collaborate with Apple on Legal Challenge Against Home Office Encryption Directives

AI and the Creative Industries: A Misguided Decision by the UK Government

Intel’s Newest Xeon 6 Unveiled for AI Data Centers

Intel has launched a new generation of chips tailored to meet the demands of AI in cloud providers and enterprise data centers, offering options for performance and power efficiency. The Xeon 6 silicon, featuring two microarchitectures, the Performance Core (P-Core) for AI applications and high-performance computing, and the Efficient Core (E-Core) for power efficiency with less demanding workloads, will be available through cloud providers and data center server providers.

The Xeon 6700E, the first release in the lineup, is a system-on-chip (SoC) that includes a revamped CPU and GPU for power efficiency. Intel plans to introduce the Xeon 6900P in the third quarter, which includes a CPU, GPU, and neural processing unit for AI acceleration. This expansion of product lines aims to provide enterprises with more options to match chip performance and pricing to their workloads.

Intel’s Xeon 6 P-Core chips will vie for market share with AMD EPYC processors and custom-designed chips offered by leading cloud providers. Analysts anticipate that Intel and AMD products will be used for inference tasks, while Nvidia dominates the market for training large language models with its latest AI chips.

As the market for AI chips continues to grow, Intel plans to further expand its product lines and introduce new AI accelerators in the coming years. This surge in AI chip development, led by established players and startups alike, signifies a shift in the tech industry towards AI-driven solutions.