Collapsing 30 Feet of Power Infrastructure Into Four with DG Matrix episode artwork

EPISODE · May 27, 2026 · 50 MIN

Collapsing 30 Feet of Power Infrastructure Into Four with DG Matrix

from Inevitable · host Haroon Inam, Cody Simms

Haroon Inam is Co-founder and CEO of DG Matrix, a company that makes the world's most compact Power Router, aggregating distributed energy for GenAI datacenters, microgrids, fleet electrification, and associated systems. As AI workloads drive unprecedented electricity demand and legacy grid infrastructure struggles to keep pace, DG Matrix has commercialized the world’s first multi-port solid-state transformer to meet the energy needs. In this episode, Inam explains why transformer bottlenecks, distributed generation, and 800V DC architectures are reshaping the future of power delivery for AI infrastructure. He discusses DG Matrix’s product strategy, manufacturing scale-up plans, and the role of software-defined power systems in next-generation data centers. Finally, Inam shares his take on the future of distributed microgrids and “cellular power” and how to scale power electronics manufacturing. DG Matrix recently closed a $60 million Series A led by Engine Ventures that MCJ is proud to have participated in.  Episode recorded on May 13, 2026 (Published on May 26, 2026) In this episode, we cover:  (00:00) Overview of DG Matrix  (01:41) Introducing the Founders: Haroon Inam and Dr. Bhattacharya (05:25) How traditional grid architecture became constrained for AI workloads (09:57) Solid-state transformers (SST), multi-port systems and voltage classes (12:18) Why early SST efforts struggled economically (13:13) How DG Matrix’s multi-port architecture works (16:48) Comparing DG Matrix hardware footprint to legacy power systems (20:08) Transformer shortages and data center infrastructure bottlenecks (24:27) DG Matrix’s medium-voltage and low-voltage product strategies (27:55) Product rebranding and current commercial deployments (30:45) Partnerships with EPC firms, battery providers, and turbine manufacturers (34:27) Manufacturing scale-up plan and hyperscaling production (36:36) Supply chain strategy to avoid rare earth dependencies (38:16) Reliability engineering and software-defined power systems (43:47) DG Matrix’s go-to-market and hybrid hardware/software business model (46:36) The vision for distributed “cellular power” (48:14) Utilities, microgrids, and the future of interconnected distributed infrastructure Enjoyed this episode? Please leave us a review! Share feedback or suggest future topics and guests at [email protected] with MCJ:Cody Simms on LinkedInVisit mcj.vcSubscribe to the MCJ Newsletter*Editing and post-production work for this episode was provided by The Podcast Consultant

Haroon Inam is Co-founder and CEO of DG Matrix, a company that makes the world's most compact Power Router, aggregating distributed energy for GenAI datacenters, microgrids, fleet electrification, and associated systems. As AI workloads drive unprecedented electricity demand and legacy grid infrastructure struggles to keep pace, DG Matrix has commercialized the world’s first multi-port solid-state transformer to meet the energy needs. In this episode, Inam explains why transformer bottlenecks, distributed generation, and 800V DC architectures are reshaping the future of power delivery for AI infrastructure. He discusses DG Matrix’s product strategy, manufacturing scale-up plans, and the role of software-defined power systems in next-generation data centers. Finally, Inam shares his take on the future of distributed microgrids and “cellular power” and how to scale power electronics manufacturing. DG Matrix recently closed a $60 million Series A led by Engine Ventures that MCJ is proud to have participated in.

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Collapsing 30 Feet of Power Infrastructure Into Four with DG Matrix

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This episode was published on May 27, 2026.

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Haroon Inam is Co-founder and CEO of DG Matrix, a company that makes the world's most compact Power Router, aggregating distributed energy for GenAI datacenters, microgrids, fleet electrification, and associated systems. As AI workloads drive...

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