Latest Interviews

Vipul Ved Prakash, Together AI ｜ RAISE Summit 2025

Vipul Ved Prakash, John Furrier, Aviv Paul

Co-founded by Paul Ved Prakash, Together AI operates as an AI acceleration cloud that recently deployed a high-density Grace Blackwell 200 cluster in Memphis to deliver 1.4 petaflops of computing power for large-scale model training. The platform hosts over 200 open-source models and drives significant growth among "AI-native" customers by integrating specialized infrastructure for thermal management and dynamic workload orchestration. As the market shifts toward "Agentech," the company addresses generative AI limitations through test-time compute mechanisms and parameter-efficient inference techniques that enable complex, multi-step reasoning workflows.

Vipul Ved Prakash, Together AI ｜ RAISE Summit 2025 1

Vipul Ved Prakash, John Furrier, Aviv Paul

Together AI, an "AI acceleration cloud" founded three years ago, is deploying specialized supercomputer clusters like the new Memphis Grace Blackwell 200 to facilitate large-scale generative AI training and inference. Serving 80% "AI-native" clients in sectors from robotics to healthcare, the platform distinguishes itself through hardware-software co-optimization that enables real-time reasoning and supports a library of 200 open-source models. As the industry shifts from basic inference to multi-step agent technologies, Together AI aims to bridge the enterprise gap for integrated stacks by dynamically balancing high-density workloads across its unified cloud infrastructure.

Prashanth Chandrasekar, Stack Overflow ｜ Raise Summit 2025

Prashanth Chandrasekar, John Furrier, Prashant Thir

Stack Overflow CEO Prashant Thir highlights a critical market shift where high AI adoption clashes with declining trust, driving a demand for human-in-the-loop validation to counteract generic content and hallucinations. The company leverages its official data licensing agreements with major AI labs to boost model accuracy by 30–40% while simultaneously expanding enterprise offerings like Uber's Genie into dynamic knowledge intelligence layers. This strategy combines a growing revenue stream from AI reinforcement learning and data licensing with a community vision to transform the platform into a "trust network" that blends expert curation with AI speed.

Mike Mattacola, Coreweave ｜ Raise Summit 2025

Mike Mattacola, John Furrier

Held in Paris, the RAISE Summit 2025 convened industry leaders to address the critical intersections of AI infrastructure expansion, sovereignty, and energy constraints. CoreWeave leveraged its strategic partnership with Dell and NVIDIA to outpace competitors by deploying H100, H200, and GB200 hardware generations first, while managing massive scaling complexities through joint troubleshooting and agile operational models. The event highlighted a structural industry shift from general-purpose IT to specialized AI engineering, characterized by high-density rack consolidation and a dramatic decline in x86 market share as physical data center requirements drive immediate procurement and deployment strategies.

Alison Wagonfeld, Google Cloud ｜ RAISE Summit 2025

Alison Wagonfeld, John Furrier

At the 2025 RAISE Summit in Paris, Google Cloud detailed its transition to a full-stack AI-first strategy that integrates DeepMind research directly into products like BigQuery while leveraging partners such as Databricks and hardware collaborations with Nvidia. The company championed open interoperability standards, specifically the Model Context Protocol and Agent-to-Agent protocol, to enable secure cross-platform agent interactions and mitigate vendor lock-in for over 500 enterprise customers. This approach addresses a market shift toward replatformization and internal AI competency centers, allowing organizations to extract measurable ROI through application-layer business logic rather than focusing solely on hardware advancements.

Roman Chernin, Nebius ｜ Raise Summit 2025

Roman Chernin, John Furrier, Robin Sheeran

Nebius, a publicly traded full-stack AI cloud provider founded one year ago, has expanded its infrastructure to seven global locations and targets operating tens of thousands of GPUs by year-end. The company differentiates itself through proprietary liquid-cooled engineering and a pay-per-consumption model that accommodates diverse workloads ranging from real-time inference to massive training clusters. Nebius is pursuing a tenfold revenue growth to one billion Russian Rubles while pivoting its customer base toward established enterprises in life sciences and FinTech to support the transition to "AI factories."

Rajiv Ramaswami, Nutanix ｜ RAISE Summit 2025

Rajiv Ramaswami, John Furrier

At the RAISE Summit 2025 in Paris, Nutanix CEO Rajiv Ramaswamy unveiled a strategic partnership with NVIDIA to deliver a fully integrated enterprise AI infrastructure stack designed to support generative AI inference for the 28,000 companies Nutanix currently serves. This solution combines Nutanix's simplified base with NVIDIA's microservices and reference architectures to enable secure, turnkey deployment of AI workloads across data centers, edge locations, and public clouds. By abstracting hardware and containerization complexity, the collaboration targets the "vast majority" of enterprises that will consume rather than train models, facilitating immediate use cases like document summarization and automated translation while supporting future multi-agent workflows.

Naveen Rao, Databricks ｜ RAISE Summit 2025

Naveen Rao, John Furrier

At the RAID Summit in Paris, Databricks executives outlined a strategic pivot from raw data analytics to treating information as proprietary ingredients for generating competitive AI assets. Jonathan Frankel championed a methodological shift that inverts traditional machine learning by using observational data to validate pre-defined world models, while introducing automated evaluation frameworks to replace the "magic thinking" of earlier generative AI trends. Concurrently, the platform's integration of "Genie" enables natural language querying to dynamically generate SQL and visualizations, signaling a broader industry transition where business logic becomes deeply embedded within automated data infrastructure.

Anthropic: The Great Equaliser: How Agentic AI Is Powering Europe’s Next Generation of Startups

Guillaume, Charlie

Guillaume, Head of Anthropic for EMEA, discusses the strategic deployment of the Cloud4 coding model which self-wrote 90% of its own code to power a growing ecosystem of European startups like Dust and Lovable. The conversation highlights how major enterprises including BMW and Novo Nordisk are utilizing these models as virtual collaborators to accelerate R&D and customer service, while emphasizing Anthropic's strict data sovereignty and safety policies to address European regulatory concerns. Amidst this expansion, the company aims to hire over 100 new staff members across its London, Dublin, and Zurich offices to support the region's robust AI funding environment and mitigate local talent gaps.

NextSilicon & More Than Moore. The Silicon Revolution: Why the Future of Hardware is Software

Next Silicon introduces a reconfigurable compute platform that utilizes a smart runtime algorithm to dynamically adjust chip hardware within 20 nanoseconds for CPU, GPU, and AI workloads without requiring code rewrites. This "software-aware hardware" targets the most computationally intensive code segments to deliver projected performance speedups of 4x to 10x while consuming only a quarter of the energy used by static ASICs. By supporting established languages and frameworks like CUDA and PyTorch, the system aims to decouple hardware efficiency from the need to pre-anticipate future algorithmic shifts.

A Chat with AI21 Labs: Building Custom AI Systems That Actually Work From Hype to Business Impact

Yuval, Asaf

AI21, a foundational LLM builder, highlights the persistent gap between individual AI experimentation and institutional production adoption, driven by "ChatGPT Syndrome" and fear of missing out. The company identifies a critical "underground movement" where employees innovate silently due to a lack of official guidelines, resulting in disjointed pilots and missed collective wisdom. To escape this paralysis, successful deployment requires multidisciplinary teams to map granular workflows and align stakeholders on clear KPIs, transforming informal usage into a structured, high-value organizational framework.

Roshn Group & Enhance Ventures: AI Meets Real Estate: Hype or Real Value

Robert, Yazeed Al-Ghamdi, Aristide, Maria Paula

Saudi Arabia's Roshan giga-project, mandated to deliver 400,000 housing units under Vision 2030, is leveraging Google Cloud AI and a proprietary digital sales platform to generate over 6 billion SAR in revenue while reducing land selection time by 40%. This hybrid transaction model, which integrates global KYC protocols and visualizes amenities for remote buyers, was further accelerated by the region's largest PropTech hackathon that sourced external solutions for operational bottlenecks. Driven by a young demographic and supported by upcoming infrastructure projects, the organization plans to launch a corporate venture capital arm and export its technology stack to international markets within the decade.

Serge Palaric, NVIDIA & Antoine Vaissié, Google Cloud: Better together

Serge Palaric, Antoine Vaissié, Serge Lachapelle

Google Cloud and NVIDIA have deepened their strategic partnership to deploy enterprise-scale AI, becoming the first provider to offer Blackwell architecture GPUs including the B200, GB200, and G4 instances for immediate production use. This collaboration integrates NVIDIA AI Enterprise software and NIM inference microservices with Google's infrastructure to support evolving post-training and agentic AI workloads across healthcare, finance, and industrial sectors. By combining these technologies with confidential computing options and joint engineering efforts, the alliance enables organizations to accelerate secure AI deployment while reducing operational risks and addressing specific industry workflows.

A Fireside Chat with Himanshu Tyagi, CEO & Co-Founder of Sentient Foundation ft. FINOS

Himanshu Tyagi, Imancho Tiagi

Co-founded by academic Iman Shutyagi, the Sentient Foundation advocates for a blockchain-enabled "creator economy" that allows open-source AI contributors to tokenize and monetize high-value assets like data and hyperparameters. The organization promotes open auditing and red teaming as primary safety mechanisms while predicting that global AI advancement will depend on a decentralized baseline rather than closed models or rigid regulatory thresholds. By targeting digital-native developers and utilizing decentralized compute, the initiative aims to sustain a competitive, open-source ecosystem where software contributions yield long-term financial value alongside technological progress.

A Keynote with Richard Rizk, & IRobert Rizk, BLACKBOX.AI

Richard Rizk, IRobert Rizk

Co-founded by Robert and Richard Co, Blackbox has scaled its autonomous coding agent platform to over 20 million users, securing the top rank among code-related AI startups on Andreessen Horowitz's 2024 adoption list. The system distinguishes itself through features like Figma-to-code conversion, voice-enabled remote execution, and a "Robocoder" module that resolves GitHub issues asynchronously within isolated secure environments. While integrating with over 35 IDEs and offering unified model access, the company emphasizes a human-in-the-loop philosophy to augment developer productivity rather than replace engineers.