Meta's Latest AI Advancements: Data Centers, Chips, and Open-Source Tech.

TL;DR Summary
Meta has announced a new AI data center design optimized for AI training and inference, leveraging its own silicon, the Meta training and inference accelerator (MTIA), a chip that will help accelerate AI workloads across various domains. The company has also built an AI supercomputer, the Research Supercluster (RSC), integrating 16,000 GPUs to train large language models. Meta's new data center designs will provide liquid cooling to the chips to deliver the right level of power efficiency, enabling the right cooling and power to enable AI.
- Meta unveils new AI data centers and supercomputer to power AI-first future VentureBeat
- Meta pulls the curtain back on its A.I. chips for the first time CNBC
- Meta Made Its AI Tech Open-Source. Rivals Say It’s a Risky Decision. The New York Times
- Meta announces AI training and inference chip project Reuters
- Meta Completes Research SuperCluster, Announces Next-Gen Datacenter HPCwire
Reading Insights
Total Reads
0
Unique Readers
5
Time Saved
4 min
vs 5 min read
Condensed
91%
971 → 86 words
Want the full story? Read the original article
Read on VentureBeat