Majestic Labs AI launches Prometheus server system with AIU chips to address memory wall
Updated
Updated · The Wall Street Journal · Apr 28
Majestic Labs AI launches Prometheus server system with AIU chips to address memory wall
6 articles · Updated · The Wall Street Journal · Apr 28
The Prometheus server, designed by ex-Google and Meta executives, offers up to 128 terabytes of memory per server and supports AI models with 5–10 trillion parameters.
Majestic’s proprietary interconnection technology enables faster data transfer than high-bandwidth memory, using commodity DRAM chips to mitigate ongoing memory chip shortages.
With multiple customers lined up for 2027 and hundreds of millions in projected revenue, Majestic aims to meet surging demand for AI inference hardware as industry giants and startups race to overcome memory bottlenecks.
Can Majestic's proprietary system outcompete the open CXL 4.0 standard for building massive AI memory pools?
Is Majestic's massive memory pool the ultimate fix, or just a bridge to true in-memory processing?
Will 'memory scaling' hardware create a new divide between AI companies that can afford it and those that cannot?
How will Majestic secure enough DRAM chips by 2027 when a global shortage is expected to persist?
Can smaller AI models with vast memory truly outperform today's parameter-heavy giants, changing AI development forever?
How does Majestic's 'special sauce' interconnect make cheap DRAM faster than premium HBM without new bottlenecks?