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11 articles
Learn how a remote Chinese city has become crucial for AI development due to its cheap energy, abundant land, and strategic location near Beijing. This explainer shows why data centers are essential for artificial intelligence and how geographic advantages drive technological growth.
VentureBeat has appointed Rob Strechay as its first Lead Analyst to deepen its enterprise AI research efforts, focusing on infrastructure, security, and deployment challenges. Strechay brings decades of experience as a practitioner, executive, and analyst.
French startup Kog is challenging the notion that GPUs are poorly suited for agentic AI workflows by developing innovative techniques to maximize GPU inference efficiency.
Modus has raised $10 million in seed funding to develop a context layer for enterprise AI, addressing the growing need for AI systems to understand and prioritize relevant information.
This explainer explores how Linux's kernel architecture and open-source design fundamentally differ from Windows, particularly in supporting AI workloads through resource management, hardware acceleration, and system-level optimizations.
Learn about Vint Cerf's foundational role in creating internet protocols and how these rules enable modern AI systems to function.
Learn how to set up and manage AI workloads on NVIDIA DSX infrastructure similar to the 360MW data center Firmus is building in Indonesia. This tutorial covers containerization, model deployment, and performance optimization.
Learn how to set up an AI development environment on Oracle Cloud Infrastructure, including provisioning compute resources, containerizing applications, and managing data pipelines.
A critical security vulnerability named 'BadHost' has been found in Starlette, a popular open source package with 325 million weekly downloads, potentially affecting millions of AI applications and web services.
Explore advanced operating system architectures beyond Linux, examining how alternative open-source systems implement unique kernel designs, memory management, and security models that are crucial for AI development and computing innovation.
Niv-AI exits stealth with $12 million seed funding to optimize GPU power management and prevent performance degradation from power surges.
