flâneur — a map of the web's best reading

Majestic Labs

majestic-labs.ai · 280 words · saved by 1 readers

Every major model is memory-bound. The industry deploys power hungry servers to work around it. The planet can no longer power them. 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. 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. 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. Efficiently serve the most advanced and biggest frontier models with the longest contexts. Efficiently run Agentic AI, Reasoning, Graph Neural Nets, Tabular Nets, Video Ge

Majestic Labs 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. Learn More 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. Next Servers Reimagined For The Era of AI and Big Data Rearchitected with memory as a first-class citizen. One mass

Explore this link on the map →

saved by

related reading