Matilda Bailey has spent years at the sharp edge of networking and next‑gen wireless, where bandwidth, latency, and memory footprints decide what ships and what stalls. Today she unpacks Google Research’s TurboQuant, a claimed 6x reduction in inference memory and an 8x speedup on the same GPUs,
Permitting clocks increasingly decide which data centers power AI growth and which sink into multiyear limbo despite flawless engineering, because approvals now gate billions in capital, construction mobilization, and utility planning even when equipment lead times and grid interconnection appear
The center of gravity in AI is sliding from raw model speed to system choreography, where the slowest hop, not the fastest GPU, dictates tempo and turns infrastructure planning into a game of coordination rather than pure compute. That pivot matters because long-lived, tool-using agents have pushed
The enterprise virtualization sector is currently witnessing a profound recalibration of market power as corporate IT departments grapple with the aftermath of Broadcom’s sweeping acquisition of VMware. This tectonic shift has left many organizations feeling vulnerable to aggressive licensing
The friction between the infinite speed of algorithmic iteration and the sluggish reality of physical infrastructure has reached a critical boiling point in 2026. While the world's most powerful technology companies continue to unveil increasingly complex generative models, the physical foundations
Matilda Bailey is a distinguished networking specialist whose work sits at the intersection of traditional infrastructure and the burgeoning world of quantum communications. With a career dedicated to dissecting the complexities of next-generation wireless and cellular solutions, she has become a
