About Vailinor

Who We Are

Vailinor builds distributed regional inference capacity in Asia, co-located behind the meter at operating renewable biomass power plants.

Asia is approaching a structural gap in AI compute. Large centralized campuses will keep serving training and bulk workloads, and edge endpoints will keep multiplying near users. The layer in between, distributed regional inference, is largely missing. Demand for that layer is building now: model distillation, agentic AI, and latency-sensitive inference all push compute closer to the user.

Vailinor controls site origination, development capability, and retained economics across its portfolio. Sites are co-located with operating renewable biomass plants and have access to firm dispatchable generation, dedicated reservoirs, 115 kV substations, and negotiated four-route fibre. Vailinor is registered with Thailand’s Energy Regulatory Commission for on-site power supply for AI compute.

Milestones

From Power to Platform

Oct 2025

42.5 MW of behind-the-meter power secured

Corporate PPAs signed for the first two sites.

Dec 2025

Registered with Thailand's Energy Regulatory Commission

ERC registration for on-site power supply for AI compute, with the first corporate PPA registered.

2026

Phase 1 portfolio expansion

Five additional sites in development across Thailand, taking the Phase 1 portfolio to seven sites and 118.5 MW.

2027

Phase 1 Ready-for-Service window

First sites targeted Ready-for-Service from mid 2027.

Leadership

Team

Mark Blashfield

Mark Blashfield

Co-Founder & CEO

30+ years in investment management and Asian energy; 60 MW of waste-to-energy power in Thailand.

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Veegrit Bovornusvakool

Veegrit Bovornusvakool

Chief Energy Officer

20+ years in waste-to-energy; delivered four 9.9 MWe VSPP biomass plants.

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Kemmanat Nincharoen

Kemmanat Nincharoen

Chief Technology Officer

25+ years in Tier III / IV data centres; BICSI DCDC, Uptime ATD/ATS.

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Jason Brink

Jason Brink

Co-Founder

Scaled global distributed-infrastructure networks; architecture behind ~85% of IPFS DHT routing.

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We believe the future of generative AI, inference, and large-scale compute lies in building dedicated, renewable-powered data centers that operate independently of national grids.