Tech Disruptors Vultr Is Scaling AI Cloud for the Next Phase
Feb 24, 2026
JJ Kardwell, CEO of Vultr and cloud/AI infrastructure leader. He discusses Vultr’s AI cloud strategy and global data‑center build‑out. Talks about GPU and AMD partnerships, inference focus, enterprise adoption trends, and emerging bottlenecks like power and memory. Covers pricing dynamics, capital discipline, and how infrastructure will scale for future AI demand.
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Today's AI Is Just The Beginning Of Resource Demand
- Current AI applications are unlikely to be the peak; future apps will be far more resource intensive and pervasive.
- Kardwell describes 24/7 agents and large-scale digital twins that will massively increase compute and infrastructure needs.
Combine Build And Buy For Infrastructure Agility
- Use a mixed strategy of first-party and third-party infrastructure to gain speed, flexibility, and geographic reach.
- Kardwell points to hyperscalers' long history of blending owned data centers with third-party capacity to modulate demand and avoid fixed long leases.
Third-Party AI Clouds Will Remain Material Long Term
- Independent AI infrastructure will remain a meaningful portion of steady-state supply because buyers value surge capacity and flexibility.
- Kardwell expects a crystallized vendor set (few large independents) with importance of cost of capital and scale.