Sustainable AI

The AI industry is on a trajectory the world cannot sustain. Data center electricity demand is set to double by 2030, AI's carbon footprint already rivals that of a major city, and community opposition has blocked $64 billion in data center projects. Meeting AI's growing demand requires a new approach to efficiency. Mythic's APU architecture delivers 100x greater system-level efficiency than GPUs by eliminating the waste built into today's chips.

AI that doesn’t cost the earth. ‍

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the Mythic difference

Efficiency is the architecture.

Conventional approaches to sustainable AI focus on reducing the impact of existing systems through offsets, renewable energy credits, and incremental improvements. But as AI demand accelerates, those measures cannot address the underlying challenge. Mythic starts at the architecture level. By processing computation where the data lives, our analog compute-in-memory technology eliminates the energy waste of constant data movement, delivering 100x greater system-level efficiency without sacrificing performance.

The Footprint Advantage

From 10,000 acres to under 100.


The impact of efficiency extends beyond the chip. A conventional GPU-based data center campus requires 10,000 acres and 7.5 GW of dedicated power generation. Mythic's analog inference platform delivers equivalent performance in under 100 acres at 0.006 GW, with no dedicated power plant required. Using 1,000x less water and producing 650x less noise, Mythic reduces the physical footprint required to bring AI infrastructure into the real world.

A Community Opportunity

AI infrastructure that communities can get behind.

As AI infrastructure expands, communities are increasingly questioning the cost of hosting it. Today, 833 opposition groups are active across 49 states, and 14 states have enacted temporary pauses on data center development. The concern is not AI itself. It is the scale and impact of the infrastructure required to power it. By dramatically reducing those demands, Mythic makes it possible to build AI infrastructure that communities can support and that the world can sustain.

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