2025-04-24

As Artificial Intelligence (AI) technology advances, the need for efficient and scalable inference solutions has grown rapidly. Soon, AI inference is expected to become more important than training as companies focus on quickly running models to make real-time predictions. This transformation emphasizes the need for a robust infrastructure to handle large amounts of data with [… [...]
2025-10-10
Enterprises expanding AI deployments are hitting an invisible performance wall. The culprit? Static speculators that can't keep up with shifting workloads.Speculators are smaller AI models that w [...]
2025-10-02
IBM today announced the release of Granite 4.0, the newest generation of its homemade family of open source large language models (LLMs) designed to balance high performance with lower memory and cost [...]
2025-10-04
A cycle-accurate alternative to speculation — unifying scalar, vector and matrix computeFor more than half a century, computing has relied on the Von Neumann or Harvard model. Nearly every modern ch [...]
2025-10-28
In an industry where model size is often seen as a proxy for intelligence, IBM is charting a different course — one that values efficiency over enormity, and accessibility over abstraction.The 114-y [...]
2025-03-18
Nvidia introduced a comprehensive range of new products and technologies at its GTC Conference 2025, positioning itself for a new era of AI reasoning. The centerpiece of the announcement was the Black [...]
2025-10-13
Presented by SolidigmAs AI adoption surges, data centers face a critical bottleneck in storage — and traditional HDDs are at the center of it. Data that once sat idle as cold archives is now being p [...]