Q: Are chiplets simply an evolution of multi-chip modules (MCMs) from the 1990’s? A: In many ways, yes. Early multi-chip ...

Enterprise AI cost reduction is within reach for most mid-market companies — but only if five structural cost drivers are ...

New AI400X3M System, Advanced KV Cache Acceleration, Multi-Tenant Security, and AI Efficiency Innovations Cement DDN’s ...

Arrcus is a leading provider of high-performance routing and switching solutions, enabling organizations to achieve superior ...

Abstract: Current distributed file systems manage metadata through a flattened metadata service, which requires accessing metadata across multiple metadata servers. To improve performance, file ...

For the last 24 months, one narrative justified every over-provisioned data center and bloated IT budget: the GPU scramble. Silicon was the new oil, and H100s traded like contraband. Reserve capacity ...

Compound AI systems, such as agentic systems, are an emerging trend in large-scale enterprise settings, with multiple LLMs specialized for different users, tasks, and/or roles working together. In ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Erik Steiger discusses the operational pain ...

At 100 billion lookups/year, a server tied to Elasticache would spend more than 390 days of time in wasted cache time. Cachee reduces that to 48 minutes. Everyone pays for faster internet. For ...

Traditional load testing from a single machine quickly becomes a bottleneck for modern distributed systems. This article describes a scalable benchmarking architecture using Apache JMeter running on ...

While vector databases still have many valid use cases, organizations including OpenAI are leaning on PostgreSQL to get things done. In a blog post on Thursday, OpenAI disclosed how it is using the ...