Post by GLG

Silicon Valley tech veteran and GLG AI expert Nicole Hu is on today’s Bloomberg Tech Disruptors podcast discussing an urgent topic in the field: As memory becomes a key bottleneck, can software provide a lifeline while next-generation hardware catches up? Drawing on her 20+ years of experience building large-scale engineering, data, analytics, and AI systems, Nicole breaks down how a shift from training to inference is causing a memory capacity crisis, the mixed potential of current optimization strategies, and what it all means for investors trying to make sense of the AI infrastructure buildout (link in the comments). The incisive conversation comes on the heels of an in-person roundtable we co-hosted with Bloomberg Intelligence in New York, where Nicole and Mandeep Singh, CFA spoke to investors about the latest shifts in the AI compute landscape. As our clients navigate the fast-moving space, we’re committed to connecting them to the sharpest perspectives from our experts – especially alongside the trusted partners they already turn to, like Bloomberg. #TechDisruptors #TurboQuant