The data mesh architecture promised to eliminate the inefficiencies and errors of the data lake. What went wrong?
Modern systems thrive on connected APIs and tools, but fragmented integrations create hidden security risks across environments.
This is the crux of the organizational challenge. Business units want AI capabilities now. Technology teams understand that ...
Electronic Design has curated a series of white papers that help you understand NVIDIA’s 800-V DC power architecture for “AI ...
Tod Higinbotham, CEO of ZincFive, explains how an AI-optimized nickel-zinc battery system can deliver compact, safe and sustainable power that meets modern data center needs.
Advantech said the NVIDIA Jetson Thor series set a new benchmark for edge AI, delivering up to 2070 FP4 TFLOPS of AI ...
The landscape of modern software engineering demands a unique blend of technical versatility, performance optimization expertise, and architectural vision. As organizations increasingly rely on ...
It’s time to move beyond the pilot phase and integrate intelligence into the core architecture for measurable business ...
The company unveiled an AI architecture for data centers in 2024 that was developed in partnership with Nvidia and built on ...
For the past two decades, distributed caches, also known as in-memory data grids, have been used to address such challenges.
As AI agents become integral to cloud native applications, the Model Context Protocol (MCP) has emerged as a leading standard for enabling these agents to ...
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