Majestic Labs Raises $100M for AI Servers

Ex-Google and Meta executives have launched Majestic Labs, securing over US$100 million in Series A funding to develop next-generation AI server infrastructure designed to tackle memory bottlenecks in large AI models.

What They’re Building. The San Francisco- and Tel Aviv-based startup claims its architecture can merge multiple server racks into a single unit with far greater memory capacity than current GPU-based systems.

Funding Details. Backers include Bow Wave Capital, Lux Capital, SBI, Upfront, Grove Ventures, Hetz Ventures, QP Ventures, Aidenlair Global, and TAL Ventures.

Use of Funds. Majestic Labs will expand hiring, enhance its software stack, and conduct pilot deployments with customers to validate performance.

Industry Context. The company’s design hints at Compute Express Link (CXL)-style memory pooling, a technology aimed at removing compute-memory limits for large-scale AI workloads, a hot area in next-gen AI hardware.

If its approach delivers on the promise of collapsing racks into single, high-memory servers, Majestic Labs could play a pivotal role in reshaping how AI infrastructure scales globally.