Interview, Conference Presentation
Mike Mattacola, CBO of CoreWeave: Building the Next Generation of Cloud in Europe
Acquisition of Core Scientific:
- Announced a planned all-stock acquisition of Core Scientific, targeting completion within six months.
- The deal adds over 1.3 gigawatts of available power in the U.S., including 850 megawatts already contracted and partially online.
- The transaction aims to eliminate intermediary margins, reduce costs, and accelerate capacity deployment for customers.
Financial Performance and Strategy:
- Revenue grew from $15.8 million in 2022 to nearly $2 billion in 2024.
- Growth was driven by selective customer partnerships rather than broad market adoption, focusing on large training clusters and rapid execution.
- The company pioneered the launch of NVIDIA H100, H200, GB200, and recently announced the GB300 to the market.
- Capital was raised through financial innovation, collateralizing credit-worthy contracts and infrastructure assets before a recent successful IPO.
European Expansion and Infrastructure:
- Originally planned to open 3–4 data centers in Europe; expanded to 6 within 12 months, exceeding initial commitments.
- European investment now totals €1 billion in the UK and $2.2 billion in the rest of Europe.
- A seventh data center is scheduled for announcement within 90 days.
- Regional team grew from zero to approximately 120 employees in the last year.
- Current infrastructure includes Blackwell chips; the roadmap includes preparing for NVIDIA Rubin next-generation hardware.
Strategic Outlook and Market Dynamics:
- Sovereignty View: Michael argues against 100% sovereign infrastructure in Europe, citing a lack of local capital and skilled talent required to build new clouds; advocates for localized data management (GDPR compliance) while utilizing global supply chains.
- Competitive Landscape: The AI cloud sector is expected to consolidate over the next two years; however, CoreWeave does not plan to pursue M&A as a primary strategy, believing talent will naturally migrate to high-performing environments.
- Key Challenges: Securing access to power and high-caliber talent remains the primary bottleneck, alongside the physical complexity of managing supercomputers with over 100,000 GPUs.
- Customer Relationships: Maintains a deep, long-standing partnership with French LLM developer Mistral, which utilized CoreWeave infrastructure from its inception in the US and Europe.
Advice for AI Startups:
- Success relies on building unique products, differentiating from competitors, executing flawlessly, and hiring the right talent rather than focusing solely on fundraising mechanics.
- The most difficult aspect of building a company is assembling a trusted team capable of navigating discomfort and providing mutual support.