Microsoft announced Windows ML as generally available for developers in 2025 — a native, production-ready on-device inference runtime included in the Windows App SDK that makes it dramatically easier to ship AI features that run locally on Windows 11 devices. In short: Windows wants AI to run on the PC itself, not just in the […]
Category: AI & Emerging Tech
AI Hardware & Accelerator Strategy: Pick Chips, Cut Costs
Enterprises and SaaS vendors face a growing hardware question: how to run modern AI models cheaply, quickly, and sustainably. New classes of accelerators — NPUs, domain-specific ASICs, cloud TPUs and next-gen GPUs — are reshaping the classic tradeoffs between performance, power, cost, and developer velocity. This playbook explains the landscape in 2025, compares hardware families […]
Groq vs. NVIDIA: Is the LPU the Future of Real-Time AI Inference?
If you care about real-time AI — think live voice assistants, instant translation, or chatbots that must respond without awkward pauses — you’ve probably heard the buzz about Groq’s LPU. At the same time, NVIDIA is still the giant everyone trusts for both training and inference. Which one should you care about? Short answer: LPUs […]
Agentic AI: What Autonomous Agents Mean for Product Teams in 2025
Agentic AI (autonomous agents) are software systems that can take multi-step actions toward goals with limited human supervision. For product teams in 2025, agentic AI changes three things at once: product capabilities (automation that acts on behalf of users), developer workflows (components become behavior-driven agents), and business models (outcome-based pricing, new retention dynamics). This pillar […]



