CORDIS Project
Funding breakdown and partner intelligence are Premium
Sign in and upgrade to Premium for EU contribution totals, consortium analytics, OpenAlex research context, and AI summaries. · 0 consortium intelligence fields visible of 1
Start free • Cancel anytime • 14-day refund guarantee
ExpectedIT develops innovative chips and server technology to enhance data movement efficiency for AI applications. By addressing data bottlenecks, their solution enables faster processing and reduced costs, energy use, and carbon emissions for data centers, benefiting various sectors including healthcare and green tec…
Over the past decade, the on-device performance of CPUs, GPUs, and AI accelerators has improved 100x faster than off-device data movement.
This increasingly causes chips to wait for data, lengthening the time to run a job.
This data bottleneck thus leads to massive inefficiencies, raising the cost, energy consumption, and carbon footprint to run AI jobs by 57% for datacenter providers and their end-users.
ExpectedIT's solution consists of two new proprietary chips: the Large Pool CPU (LP-CPU) ch…
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Similar projects, consortium collaboration history, frequent partners, and OpenAlex research context.
Guests see up to 5 EuroSciVoc fields.
Guests see up to 5 topics.
Guests see up to 5 keywords.