Hi, I’m Collin Junus — an Indonesian founder focused on AI compute, power,
and infrastructure in Southeast Asia.
I study Computer Science and Music at Yale.
My long-term focus is building energy-backed AI inference infrastructure for emerging markets.
I believe:
Inference will be more geographically distributed than training
The world rewards generalists - polymaths outperform specialists
Long-term infrastructure beats short-term applications
Compute and power are the true bottlenecks of AI
Previously:
Conducted research at Yale on AI compute, systems constraints, and energy-aware infrastructure in Indonesia
Built and operated a consumer software product focused on incentive design and helping people earn their dopamine
Today:
I’m focused on AI compute and infrastructure, with a long-term interest in building energy-backed AI inference systems in Southeast Asia.
collin.junus@yale.edu
Hi, I’m Collin Junus — an Indonesian founder focused on AI compute, power, and infrastructure in Southeast Asia.
I study Computer Science and Music at Yale.
My long-term focus is building energy-backed AI inference infrastructure for emerging markets.
I believe:
Inference will be more geographically distributed than training
The world rewards generalists - polymaths outperform specialists
Long-term infrastructure beats short-term applications
Compute and power are the true bottlenecks of AI
Previously:
Conducted research at Yale on AI compute, systems constraints, and energy-aware infrastructure in Indonesia
Built and operated a consumer software product focused on incentive design and helping people earn their dopamine
Today:
I’m focused on AI compute and infrastructure, with a long-term interest in building energy-backed AI inference systems in Southeast Asia.
collin.junus@yale.edu
Hi, I’m Collin Junus — an Indonesian founder focused on AI compute, power,
and infrastructure in Southeast Asia.
I study Computer Science and Music at Yale.
My long-term focus is building energy-backed AI inference infrastructure for emerging markets.
I believe:
Inference will be more geographically distributed than training
The world rewards generalists - polymaths outperform specialists
Long-term infrastructure beats short-term applications
Compute and power are the true bottlenecks of AI
Previously:
Conducted research at Yale on AI compute, systems constraints, and energy-aware infrastructure in Indonesia
Built and operated a consumer software product focused on incentive design and helping people earn their dopamine
Today:
I’m focused on AI compute and infrastructure, with a long-term interest in building energy-backed AI inference systems in Southeast Asia.
collin.junus@yale.edu