The AI Frontier: from FLOPs to Megawatts — Anjney Midha, AMP

Node utilization below 95% constitutes an outage

At Google, node utilization below 95% is considered an outage, yet most single-tenant AI clusters fail to meet this standard while Model FLOPs Utilization (MFU) should reach 60-70% for best-in-class operations.

Wastage compounds exponentially when scaling too fast

Rapid scaling without iterative bring-ups causes misalignment between capital and operations to magnify dramatically, violating established semiconductor industry practices despite AI's new capabilities.

Shift to responsible infrastructure

The industry must evolve from Zuckerberg's 'move fast and break things' to 'move fast with responsible infrastructure' as the margin for error shrinks and economic and environmental costs of wastage skyrocket.

Amp functions as an Independent System Operator

Modeled after electric grid operators like PJM Interconnection, Amp acts as a neutral coordination layer pooling multi-cloud and multi-silicon compute to make 'megaflops flow like megawatts'.

Pooling beats vertical integration

Unlike full-stack labs, horizontal pooling across uncorrelated demand sources—similar to steel factories and shoe mills sharing electric grids—maximizes utilization by scheduling compute spikes at different times.

Dynamic interruptible demand systems

Implementing credit-based prioritization systems like Google's Borg allows customers guaranteed base loads while enabling flexible research spikes through interruptible demand markets.

Data centers face mounting community backlash

Up to 20% of US data centers risk failing to secure community support due to power grid and environmental concerns, with permitting battles threatening project viability.

Direct cash transfers to local communities

Midha proposes charging $4.50 per hour instead of $4.00 and giving the $0.50 marginal increase directly to local residents as cash, transforming infrastructure into a clear public benefit.

Prefer established providers over neo-clouds

Companies should partner with 20-year infrastructure veterans who have credit histories and land management experience rather than unproven 'neo-cloud' marketing operations lacking operational maturity.

DeepMind's embargo creates adverse selection

DeepMind's six-month publication embargo results in only less valuable research being released, while breakthrough work remains permanently locked inside corporate labs, creating negative externalities for scientific progress.

Holding company model for infrastructure and labs

Amp Holdings combines infrastructure (Amp) with venture arm Foundry to incubate and fund frontier labs like Anthropic and Periodic, providing compute access without corporate dictatorship constraints.

Talent exodus signals cultural decay

Top researchers leave major labs when mission alignment frays and commercial priorities override frontier research, indicating that culture—not capital or compute—determines shipping velocity.