Latest Interviews
Showing 16–30 of 53 transcripts.
Clear all filters- RAISE Summit20 min
Industrializing Intelligence: Building the AI Factory as a System | Vertiv | RAISE Summit 2026
Giordano Albertazzi, Gio Albertazzi
As the AI sector pivots from proven technology to maximizing useful output, infrastructure constraints are driving a shift toward "manufacturing data centers" that prioritize tokens per megawatt over traditional efficiency metrics. Vertiv champions a converged system approach that eliminates seam inefficiencies through pre-engineered modular solutions, enabling grid-interactive powertrains and reducing deployment time by half. This strategy directly lowers the cost per token by ensuring rapid capacity scaling and future-proofing infrastructure for next-generation silicon.
- RAISE Summit21 min
The Uncomfortable Math of Frontier AI in Production | Kavitha Mariappan | RAISE Summit 2026
At RAISE, approximately 110 exhibitors, including 18% startups and 30% scale-ups, convened to address the shift from perimeter-based security to resilience against autonomous AI agents that now possess economic agency and emergent capabilities. Recent threat intelligence reveals that 53% of recent attacks are AI-related, with adversaries exploiting embedding space geometry and open-source models to bypass traditional deterministic defenses while 88% of enterprises lack the ability to roll back unauthorized agent actions. Experts recommend a strategic pivot toward assuming breach status by inventorying non-human identities, rotating machine tokens, and prioritizing recovery protocols over prevention to counter the asymmetric advantages held by autonomous threats.
- RAISE Summit12 min
Agents are Here. Compute has to Change | Sachin Katti, OpenAI | RAISE Summit 2026
OpenAI has entered an agentic era where its internal roadmap is realized through AI systems handling nearly all internal token generation and conducting autonomous research tasks. This shift has compressed model release cycles from half a year to monthly intervals by enabling 50x growth in research experimentation and expanding compute demands to include synthetic data and reinforcement learning. As non-engineering departments and AI interns drive adoption, the organization is simultaneously rebuilding its infrastructure with heterogeneous hardware and complex networking to support the iterative, tool-heavy workflows required for this new phase of recursive development.
- RAISE Summit19 min
Scaling AI Infrastructure for the Agentic Era | Charlie Kawwas, Broadcom | RAISE Summit 2026
Frontier artificial intelligence laboratories are increasingly partnering with Broadcom to deploy purpose-built XPU architectures that replace general-purpose hardware, enabling custom designs that eliminate efficiency losses and proprietary ecosystem taxes. This strategic shift supports a massive scaling trajectory where Broadcom projects over $100 billion in revenue by 2027 while delivering 16 times the current compute capacity through modular chiplet technology. As major clients contract for gigawatt-scale power expansions, the collaboration prioritizes rapid time-to-market for specialized "agentic AI" workloads while addressing supply chain constraints through new advanced packaging facilities.
- RAISE Summit18 min
Cheap Tokens, Expensive Mistakes: The Real Economics of AI at Scale | RAISE Summit 2026
Liran Zvibel, Dylan Patel, Karen Kwok
Major AI operators are pivoting from pure pricing power to structural cost efficiency, leveraging advanced KV cache offloading and optimized storage architectures to slash inference expenses. Recent benchmarks reveal that NAND-based memory solutions and strategic hardware combinations, such as high-capacity AMD GPUs, can outperform standard setups by up to 20 times in multi-turn agentic workflows while delivering 7x higher throughput. This shift allows emerging providers and frontier labs to significantly expand gross margins, with companies like Anthropic and OpenAI now projecting substantial operating profits driven by these infrastructure innovations rather than model weights alone.
- RAISE Summit23 min
Agentic Development Security | Manoj Nair, Snyk | RAISE Summit 2026
Presenting critical findings on the surge of security risks in AI-driven development, this analysis reveals a 108% increase in vulnerabilities linked to agentic workflows and highlights that current frontier models still produce only 60% secure code autonomously. With threat actors already executing attacks within weeks and open models projected to match proprietary capabilities in six months, the session outlines a strategic blueprint requiring independent validation, pre-build context integration, and the eradication of technical debt before scaling adoption. Urging organizations to shift from fragile remediation to resilient, load-bearing architectures, the discussion emphasizes immediate board-level action to secure supply chains and comply with upcoming regulatory frameworks like the EU AI Act.
- RAISE Summit29 min
The Physics of Thought & Architecture of Intelligence | Amin Vahdat, Google | RAISE Summit 2026
The speaker characterizes the current epoch as the dawn of an "intelligence era" where unbounded human ambition and the Jevons Paradox will drive exponential demand for cognitive computing power, surpassing the historical pace of the Industrial Revolution. To meet this surging need, Google is leveraging specialized hardware like the eighth-generation TPU and adopting a relaxed reliability model to enable agentic computing swarms that coordinate autonomous tasks at unprecedented scale. This technological shift is already accelerating scientific breakthroughs, such as rapid protein folding prediction, while necessitating responsible management of the economic turbulence inherent in this transition.
- RAISE Summit20 min
A Keynote by Thomas Sohmers, Co Founder & CTO of Positron
Positron AI, a startup founded in 2023, is deploying specialized hardware to address the inference bottleneck that now drives global GDP growth and limits traditional GPU efficiency for Transformer models. Their Atlas server and upcoming Titan system prioritize massive memory bandwidth over raw compute, delivering 70% higher throughput per dollar while operating at 150 watts to eliminate the need for liquid cooling. By enabling concurrent execution of multiple models up to 512 billion parameters on standard air-cooled infrastructure, the company aims to drastically reduce AI operating costs and reshape the economic landscape of software development.
- RAISE Summit18 min
Cresta: The Path to 90% Service Automation: Pitfalls, Secrets & Lessons from Enterprise Deployments
Ping Wu, CEO of Cuesta, addresses the unique challenges of automating contact centers by distinguishing private, legacy-bound support data from the public datasets that drove coding automation. His platform deploys a three-part architecture of conversation intelligence, agent assistants, and native AI agents to achieve high task-level automation metrics while maintaining human oversight for complex escalations. This strategy aims to shift customer experience from defensive cost-cutting to an era of abundant, proactive engagement where AI handles 90% of sub-tasks, lowering interaction costs and enabling more frequent customer contact.
- RAISE Summit16 min
June Paik (FuriosaAI): Tensor Contraction Processor: NextGen AI Inference Chip for Data Centers
Seoul-based Furiosa AI CEO Jun Paek unveiled the Renegade, a second-generation silicon chip engineered to solve energy bottlenecks in the shift toward frontier agentic model inference. Built on TSMC's 5-nanometer node, this Tensor Contraction Processor delivers 190% superior tokens-per-second-per-watt performance compared to NVIDIA H100 units by optimizing for 1.5 terabytes per second memory bandwidth and 180-watt power consumption. Currently in the sampling phase with global enterprise clients, the chip enables manufacturers and sovereign sectors to own their full AI stack while drastically reducing the capital and operational costs associated with scaling massive data centers.
- RAISE Summit20 min
Des Traynor, Co-Founder & CSO @ Intercom & Creator of Fin.ai: The Death of SaaS, The Dawn of Agents
Industry leaders identify AI agents as an existential force converging fragmented B2B SaaS workflows, presenting a critical "adapt or die" choice where obsolescence looms for firms unable to deploy robust, job-executing systems within two years. While strategic ambition ranges from efficiency-boosting copilots to full organizational replacements, success hinges on overcoming severe operational hurdles regarding unstructured data, compounding error rates in multi-step chains, and balancing agent agency with strict reliability controls. Although pioneers like Intercom report five-year growth through this paradigm, widespread adoption requires fundamentally rewriting pricing, sales, and validation architectures to bridge the gap between experimental prototypes and production-ready performance.
- RAISE Summit17 min
Guillaume Verdon, Extropic AI: Thermodynamic Computing and the Energy Efficiency Crisis of AI
Xtropic is addressing the impending AI energy crisis by developing thermodynamic hardware that leverages natural electron fluctuations for probabilistic computation rather than traditional deterministic logic. Founders Trevor and colleagues have successfully miniaturized this technology to room temperature on standard silicon, currently testing chips with hundreds of degrees of freedom that consume attojoules per operation while promising a 100 million-fold efficiency gain over current GPUs. With mass production scheduled for 2025 and early customer deployments targeted for the end of summer, the company aims to disrupt the multi-billion dollar semiconductor market by making energy efficiency the primary driver for scaling future artificial intelligence.
- RAISE Summit17 min
Anish Agarwal, Traversal: Production Software Keeps Breaking, and It Will Only Get Worse
Founded by MIT PhDs and Citadel alumni, Traversal employs causal machine learning, advanced reasoning models, and agent swarms to automate root cause analysis for large enterprises overwhelmed by AI-generated code complexity. The platform processes petabyte-scale telemetry to distinguish symptoms from causes, delivering proven results such as a 38% reduction in resolution time for DigitalOcean and sub-five-minute identification for a major financial firm. By converging on solutions through agentic MapReduce rather than traditional AIOps, the company aims to automate the full software reliability lifecycle while addressing the growing maintenance burden in modern development workflows.
- RAISE Summit19 min
Nils Pihl, CEO & Co-Founder, AUKI Labs: Teaching Machines to See the World
Speaker forecasts a tenfold global economic expansion within two decades driven by Artificial Intelligence, provided that technology evolves to interact with the physical world rather than remaining limited to digital interfaces. Aukey addresses critical gaps in current positioning infrastructure by developing a decentralized spatial computing protocol and lightweight smart glasses that replace unreliable GPS with user-generated maps, enabling autonomous systems to navigate high-density urban environments. This strategy unlocks significant efficiency gains in sectors like retail by reducing staff travel time and enabling secure, self-hosted data collection for both human and robotic coordination.
- RAISE Summit23 min
Alex Ratner, CEO & Co-Founder, Snorkel AI: Data Centric AI in the Agentic Era
Alex, co-founder of Snorkel.ai, argues that specialized agentic systems require robust evaluation benchmarks composed of prompt datasets, rubrics, and verifiers to serve as functional product requirements. His company provides data operations platforms to major US banks and federal agencies while demonstrating that custom-trained models using programmatic evaluators can outperform GPT-4 on complex insurance underwriting tasks. This approach establishes high-quality data and verification logic as the foundational prerequisites for optimizing Reinforcement Learning in enterprise environments.