AI has a
power problem.
Majestic built
a server to fix it.

Every major model is memory-bound.
The industry deploys power hungry servers to work around it.
The planet can no longer power them.

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The Bottleneck

Isn’t Compute

Models have grown 10,000,000x in a decade. Processors keep getting faster but memory hasn't kept pace. AI processors now spend most of their time waiting for data, not processing it. More compute won't fix what  really is a memory problem.

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Servers Reimagined For

The Era of AI and Big Data

Rearchitected with memory as a first-class citizen. One massive shared and uniform pool of memory in each server. Every processor connects directly to 1000x more memory. Processors communicate through fast memories instead of slow chip-to-chip links.

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AI Datacenter

In A Single Rack

One Majestic rack holds the fast memory capacity of 25 Nvidia NVL72 Vera Rubin racks at a fraction of the power. Organizations that could never justify hyperscaler infrastructure can now run any workload.

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What Changes When

Memory Isn’t the Bottleneck

01

Capability

Efficiently serve the most advanced and biggest frontier models with the longest contexts. Efficiently run Agentic AI, Reasoning, Graph Neural Nets, Tabular Nets, Video Generation and every new model.

02

Power

Support 100x more users per rack, massively reducing power consumption. No more idle processors burning power waiting for data.

03

Total Cost of Ownership (TCO)

AI carries the biggest technological promise of the century. For businesses and individuals to benefit from AI, total cost of ownership and sustainability are critical. Majestic offers both.