An AI server startup founded by former Google and Meta executives emerged from stealth earlier this month following a $100 million Series A funding round.

Israel-based Majestic Labs claims to have “dramatically” improved AI infrastructure with its system architecture that aims to rebalance memory and compute, eliminating an issue known as the “memory wall” – the gap between processor speed and memory bandwidth.

According to the company, its all-in-one server is capable of handling the largest AI workloads that currently require multiple racks of servers and switches, delivering the memory capacity of ten or more racks in one server. Its approach reportedly allows companies to realise more than 50x performance gains, whilst reducing power and cooling costs associated with a large number of racks, Majestic claims.

Bow Wave Capital led the company’s Series A round, while Lux Capital, which led the previous seed round, also participated. Other investors include SBI, Upfront, Grove Ventures, Hetz Ventures, QP Ventures, Aidenlair Global, and TAL Ventures.

The company’s founding team consists of Ofer Schacham, Masumi Reynders, and Sha Rabii, who built FAST (Facebook Agile Silicon Team) at Meta Reality Labs and GChips at Google.

“Majestic allows for a level of scalability and operational efficiency that simply isn't possible with traditional GPU-based systems,” said co-founder and president Rabii. “Our systems support vastly more users per server and shorten training time, lifting AI workloads to new heights both on-premises and in the cloud. Our customers benefit from tremendous improvements in performance, power consumptio,n and total cost of ownership.”

Co-founder and COO, Reynders, added: “AI infrastructure is scaling at unprecedented speed, but the industry has not solved key fundamental architectural inefficiencies. Majestic addresses this by delivering immediate operational gains on today's workloads while maintaining full programmability and flexibility to adapt as AI evolves beyond transformer-based models.”