Meta to cut NVIDIA out?

In this newsletter:

• Meta to cut NVIDIA out?

• AI Drives $100M to this Company

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AI News Headlines:

Meta has reportedly started testing its first-ever in-house AI chip, which will be used to train (not run) AI systems.

• Meta is working with Taiwan Semiconductor Manufacturing Company (TSMC) to produce and deliver this AI training chip, which it expects to improve the efficiency of AI training compared to traditional AI chips.

• The initial testing phase has been completed, a prototype has been sent for manufacturing, and Meta is reportedly planning a “small deployment,” which it will scale up production for, if it’s successful.

• This comes after Meta introduced an AI inference chip last year—which is used to optimize content recommendations on Facebook/Instagram—and wants its chip capabilities to support its chatbot—Meta AI—by 2026.

This is part of Meta’s long-term strategy to reduce its reliance on expensive NVIDIA chips: It currently has around 350,000 NVIDIA chips (making it one of NVIDIA’s biggest customers), and each costs around $25,000, so the $65B budget it allocated for AI infrastructure this year is likely to disappear into NVIDIA’s pocket, pretty quickly, if they can’t get this in-house chip off the ground.

AI Drives $100M to this Company

The company, eSelf AI, has developed an AI real estate agent that offers 24/7 customer service. This technology helped Portuguese real estate firm Porta da Frente Christie’s reach $100 million in sales.

• eSelf AI uses large language models (LLMs) to create an interactive virtual agent that answers questions, shares videos, and shows images.

• Portuguese agency Porta da Frente Christie’s saw a big increase in sales after using the AI agent, which provides instant property info and virtual tours.

• The AI tool helps clients across different time zones, reducing the need for human agents after hours and speeding up the property search.

This shows how AI can revolutionize traditional industries like real estate. The technology makes buying property faster, easier, and more accessible, anytime, anywhere. It could also lower costs by reducing the need for human agents and improving efficiency.

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Zulkar Naim

Founder & CEO of OpenPedia

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