Enterprise LLM InferenceA revolutionary solution to the data center dilemma.
AI inference is becoming the dominant workload in enterprise computing. But the architecture powering it was never built for this scale. Data center electricity demand is projected to hit 800 TWh by 2028, community opposition has blocked $64B in data center projects, and 78% of Americans believe data centers are impacting the country negatively. The industry's answer has been more GPUs. Mythic's answer is a fundamentally better architecture.
the Mythic differenceThe architecture that changes the math entirely.
Every AI token requires computation, and every computation carries an energy cost. Mythic's analog compute-in-memory architecture changes how that computation happens, delivering 1,300x greater energy efficiency, 700x lower total cost of ownership per million tokens, and 650x greater performance density than NVIDIA Blackwell, completely rewriting the economics for AI inference.
The Footprint AdvantageFrom 10,000 acres to under 100.
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 the same performance in under 100 acres at 0.006 GW, with no dedicated power plant required. With 1,000x less water use and 650x less noise, it reduces the impact AI infrastructure has on the communities that host it.
a Community OpportunityAI infrastructure that communities can get behind.
833 opposition groups are now active across 49 states, and 14 states have enacted temporary pauses on data center development. The backlash isn't against AI—it's against the footprint. Mythic's efficiency advantage changes the conversation entirely, making it possible to deploy AI infrastructure that communities welcome rather than resist.
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