AI ke bawajood Mac ki saleyan utni nahi hain kitni Apple bana sakti hain, lekin business AI ke liye unhe khareed rahe hain. Aapne dekha hoga ki pichle saal ya saal-bhar se Mac mini aur Mac Studio ki delivery time lambi chali aa rahi hai. Sach yeh hai ki ab agar aap poora configure karta Hua Mac Studio khareedna chahte hain, to 10 se 12 hafte wait karna padta hai. uska price bhi 18,299 dollar tax se pehle hai.

Bas yehi. Ek main reason yeh hai ki humein aajkal supply chain constraints ka samna karna pad raha hai, storage aur memory components Reliable aur sasti dhundna mushkil ho raha hai. Lekin aur bhi ek kahani hai.

Aur kahani sunna worthy hai, kyunki durfarmariye usse har insaan par padega. Isliye, Mac mini, Mac Studio aur artificial intelligence baare mein baat karein. Haan, log AI ke liye Mac use kar rahe hain.

Suppliers ko Mac mini aur Mac Studio ki zyada maang dikh rahi hai. Aur haan, AI yeh batane ka definitely reason hai ki kyun ho raha hai. Koi baat nahi, koi sochta hai ki Mac, khas kar Apple ke chhoti powerhouses, ab AI ki foundation ban rahi hain.

Maine yeh clear karna hai. AI ko 'AI driving Mac demand' aur 'Mac foundational AI infrastructure' ke beech ek entire ocean hai. Apple khud yeh jaanti hai.

Sach yeh hai ki Apple ka pura pitch yeh hai ki Mac mini aur Mac Studio choti tasks ke liye perfect hain, koi AI-based 'chore' jaise. Hum already saal-bhar se yeh jaante hain. Lekin jab large AI companies Apple ke gear bulk mein khareedna shuru kar dete hain, log baat karne lagte hain.

The Information ke according, Open AI ne tens of thousands of Mac mini aur Mac Studio khareed hain. Aur Anthropic Amazon Web Services ke through apne Mac mini lease karta hai. Lekin agar yeh Mac infrastructure ke liye nahi bhi hain, bhi bulk mein khareedne par, to unka kya use ho raha hai? Choti-choti baatein, kabhi-kabhi.

Open AI Mac minis ko supercomputer banane ke liye chain nahi kar raha hai, aur iske koi obvious plan nahi hai. Lekin iska matlab yeh nahi ki pipeline mein koi Apple-shaped spot nahi hai. Mac mini ki best cheez ek cheez hai, aur yeh Mac Studio ke liye doubly true hai, ki wo ek small footprint mein bohot energy-efficient computing power deti hai.

Isse hyper-specific use cases jo bohot repetition chahte hain, ke liye ideal banati hain. Ek such use reinforcement learning hai, jismein AI ko trial and error se seekhna padta hai.