Andrew Feldman
Showing 1–5 of 5 transcripts.
Andrew Feldman on Building a Chip 58x Larger Than Nvidia's
Cerebrus has secured a landmark partnership with OpenAI valued at over $20 billion to address the severe shortage of AI infrastructure caused by data center construction lagging behind compute demand. The company employs a co-design strategy to overhaul traditional power and cooling architectures while urging industry participants to diversify chip suppliers to avoid single-vendor lock-in. This surge in hardware innovation, marked by Cerebrus's recent IPO creating 1,000 millionaires, is expected to drive breakthroughs in cancer research, autonomous safety, and personalized education within the next quarter-century.
- All-In Podcast1h 4m
Open Source Wins, AGI Is Here, and Scorsese’s AI Toolkit with CEOs of Cerebras & Black Forest Labs
Andrew Feldman, Robin Rombach, Martin Scorsese
Cerebras Systems leverages a $25 billion order backlog from major tech giants to deploy chips that accelerate AI reasoning fifteen times faster than standard inference, effectively achieving early Artificial General Intelligence while reshaping global energy infrastructure. Simultaneously, Black Forest Labs utilizes its pioneering latent diffusion algorithms to bridge generative media and robotics, partnering with entities like Martin Scorsese to create scalable production tools and autonomous "world models." Both companies advocate for a hybrid ecosystem combining open-source accessibility with proprietary sovereignty, aiming to resolve economic bottlenecks and regulatory challenges through staged deployments and secure data practices.
- All-In Podcast32 min
The IPO Comeback: Why Tech Giants Are Finally Going Public | All-In Liquidity IPO Panel
Cerebras Systems CEO Andrew Feldman and Planet Labs CEO Will Marshall project a transformative 2026 for Initial Public Offerings, driven by Cerebras' record-breaking debut and Planet's 10x post-IPO surge. Their discussion highlights the strategic convergence of artificial intelligence and space infrastructure, where declining launch costs and Wafer-Scale Engine technology promise to shift computing operations from Earth to orbital data centers. This market shift is redefining capital allocation for investors, positioning public listing and real-time satellite integration as critical catalysts for future trillion-dollar valuations in sectors ranging from agriculture to global security.
- All-In Podcast1h 35m
Coinbase CEO's Top 3 Crypto Trends for 2026 + More from Davos!
Brian Armstrong, Andrew Feldman, Jake Loosararian, Jason Calacanis
At a recent World Economic Forum panel, industry leaders Brian Armstrong, Andrew Feldman, and Jake Lucerarian detailed a strategic shift toward regulatory compliance, hardware acceleration, and industrial robotics. Armstrong outlined how new U.S. stablecoin legislation and favorable administration policies are driving institutional adoption, while Feldman described Cerebras's Wafer-Scale Engines as a critical solution to power and latency bottlenecks facing AI infrastructure. Simultaneously, Lucerarian highlighted how Gecko Robotics is leveraging proprietary data and government defense contracts to automate high-value physical inspections, underscoring a convergence of AI, energy constraints, and tangible economic infrastructure.
- RAISE Summit27 min
Eric Schmidt & Andrew Feldman: The Race to SuperIntelligence
Cerebras Systems CEO Andrew Gerrandt asserts that the company's Wafer Scale Engine architecture delivers inference performance nearly two orders of magnitude faster than competitors, driving a market shift from training-dominant to inference-heavy workloads. This hardware acceleration, combined with strategic open-source adoption and co-designed software, has compressed industrialization timelines from decades to five years while exposing critical bottlenecks in global energy infrastructure and data sovereignty. As the industry navigates an uncharted S-curve of explosive growth, geopolitical competition and alignment risks now define the trajectory toward autonomous, on-device AI integration.