AMD and Meta reveal massive GPU deployment news — 6GW of Instinct hardware set to massively boost Facebook owner's computing stack
EPYC Venice processors will power the first rack-scale systems
· TechRadarNews By Efosa Udinmwen published 27 February 2026
Share this article 0 Join the conversation Follow us Add us as a preferred source on Google Newsletter
Get the TechRadar Newsletter
Sign up for breaking news, reviews, opinion, top tech deals, and more.
Contact me with news and offers from other Future brands Receive email from us on behalf of our trusted partners or sponsors
By submitting your information you agree to the Terms & Conditions and Privacy Policy and are aged 16 or over.
You are now subscribed
Your newsletter sign-up was successful
An account already exists for this email address, please log in. Subscribe to our newsletter
- Meta commits to six gigawatts of AMD Instinct GPU hardware
- Initial one-gigawatt deployment scheduled for the second half of 2026
- Custom MI450 silicon engineered specifically for Meta AI workloads
AMD and Meta have agreed to deploy up to 6GW of AMD Instinct GPUs over several generations, marking one of the largest disclosed infrastructure commitments in the AI sector.
The scale of the plan suggests a major expansion of Meta’s internal computing capacity as demand for training and running advanced AI models continues to grow.
The first phase of shipments is expected to begin in the second half of 2026 and will support an initial 1GW deployment.
First deployment timeline takes shape
That rollout will rely on a custom GPU derived from AMD’s MI450 architecture and integrated within the company’s Helios rack-scale platform.
The systems will also use sixth-generation EPYC processors, code-named Venice, alongside ROCm software.
The agreement builds on an existing relationship in which Meta has already deployed large numbers of EPYC CPUs and earlier Instinct GPUs across its global data center footprint.
As AI workloads increase in complexity, the balance between CPUs and GPUs has become more critical, particularly for orchestration, scheduling, and efficiency across massive clusters.
Are you a pro? Subscribe to our newsletter
Sign up to the TechRadar Pro newsletter to get all the top news, opinion, features and guidance your business needs to succeed!
Contact me with news and offers from other Future brandsReceive email from us on behalf of our trusted partners or sponsors