Brendan Burke, Research Director at Futurum, reviews Marvell’s Q1 FY 2027 earnings, focusing on AI-driven data center demand, interconnect and switching ramps, and expanded custom silicon outlook....
Tom Hollingsworth, Research Director, Networking at Futurum, AWS applies random graph theory to enhance cloud network resilience, potentially redefining enterprise uptime and competitive advantage across hyperscale providers....
Dion Hinchcliffe, Vice President & Practice Lead, CIO & Technology Buyers at Futurum reviews Nebius Q1 FY 2026 earnings, focusing on AI cloud capacity scaling, and Token Factory inference momentum....
Brendan Burke, Research Director at Futurum, analyzes how a $2 billion CHIPS Act investment positions IBM's Anderson foundry as central to American quantum industrial policy while supporting competing quantum technologies....
Brendan Burke, Research Director at Futurum, shares how AMD's 6th Generation EPYC Venice processor on TSMC's 2nm technology addresses critical data center power and efficiency demands in agentic AI workloads....
Nick Patience, VP and Practice Lead for AI Platforms at The Futurum Group, examines NVIDIA’s Q1 FY2027 results: record Blackwell-driven data center revenue, the Vera CPU opportunity for agentic AI,...
Brendan Burke, Research Director at Futurum, analyzes how Analog Devices' $1.5 billion Empower Semiconductor acquisition addresses critical power delivery constraints in AI data centers....
Brendan Burke, Research Director at Futurum, reviews how Cerebras' $95B valuation reflects investor confidence in XPU market growth through 2030, backed by $24.6B in contracted backlog....
SiTime's Q1 2026 revenue surged 88% to $113.6M, driven by AI and high-performance systems demanding precision timing as a critical system requirement....
Futurum Research reviews CoreWeave Q1 FY 2026 earnings, focusing on backlog growth, capacity scaling, and the near-term cost timing that shapes margin progression....
Brendan Burke, Research Director at Futurum, analyzes how OpenAI's MRC Networking Protocol addresses supercomputer bottlenecks and could redefine large-scale AI training economics through improved efficiency....
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