Nvidia ne bola hai ki AI models ke liye unka naya 'harness' system, yaani support system, complex tasks mein performance ko kaafi improve karta hai. Is method se Claude Opus 5 ka score **30%** se **100%** ho gaya ek tough benchmark par. Yeh news tab aayi hai jab investors Nvidia ke fiscal Q2 2027 earnings release ka wait kar rahe hain, jo **August 26, 2026** ko hai.
Nvidia ka latest research bata raha hai ki AI model ke aas-paas ka system, jise company 'harness' bolti hai, aksar main AI architecture se bhi zyada important hota hai jab complex, lambe tasks ki baat aati hai. Research ke hisaab se, achhe support system ke bina advanced models bhi memory, context aur feedback manage karne mein struggle karte hain.\n\n### Benchmark Scores mein Perfect Performance\n\nIsi baat ko demonstrate karne ke liye, Nvidia researchers ne apne 'Agentic Variation Operators' (AVO) framework ko Claude Opus 5 model par apply kiya. Jab model ko ARC-AGI-3 benchmark par test kiya gaya, jisme bina instructions ke 2D games solve karne ke liye interactive reasoning chahiye, model ne khud se sirf 30% score kiya. Lekin jab ek custom harness jisme 'supervisor' component tha, uske saath use kiya gaya, toh system ne 100% score achieve kiya.\n\nSupervisor ek manager ki tarah kaam karta hai, AI ko mistakes repeat karne se rokta hai ya unproductive paths par jaane se bachata hai. Adel El Hallack, Nvidia ke AI unit ke vice president ne bataya ki ek effective AI agent sirf model nahi hota; usmein tools aur memory management systems ka set bhi hota hai jo model ko real-world scenarios mein kaam karne deta hai.\n\n### Market Context aur Investors Ke Liye\n\nYeh research AI infrastructure ki badhti hui demands ko highlight karta hai. Jaise industry complex, 'agentic' AI ki taraf badh rahi hai jo multi-step tasks kar sake, robust supporting software aur hardware ki zaroorat bhi badh rahi hai. Yeh investors ke liye ek important point hai, kyunki Nvidia sirf chips bechne ke bajaye poora AI ecosystem provide karne par focus kar rahi hai.\n\nInvestors filhaal company ke fiscal Q2 2027 earnings report ka intezaar kar rahe hain, jo August 26, 2026 ko market close hone ke baad release hoga. Market AI infrastructure aur data center components ki sustainable demand ke signs dekh raha hai. Nvidia shares August 21, 2026 tak lagbhag $216.04 par trade kar rahe the.\n\nHaal hi mein, company AI operations ke liye infrastructure secure karne mein active rahi hai, jisme August 17, 2026 ko SB Energy ke saath ek strategic partnership bhi shaamil hai, jo Ohio mein data center support karegi. Yeh sab AI value chain mein apni presence mazboot karne ki strategy ka hissa hai.\n\n### Risks aur Competition\n\nTechnological advancements ke bawajood, company ko kai risks ka saamna karna pad raha hai. Competition tez ho rahi hai, jisme Amazon, Google, aur Microsoft jaise hyperscalers apne khud ke internal AI chip solutions develop kar rahe hain, jo eventually third-party providers par reliance kam kar sakte hain. Iske alawa, geopolitical risks aur high-end chips par export controls, khaas kar China market ke liye, ek significant overhang bane hue hain.\n\nNvidia ke liye market expectations kaafi high hain, aur stock ne historicaly earnings guidance par sensitivity dikhai hai. Investors upcoming earnings call par management ke comments on demand stability, margin trends, aur company kaise AI hardware aur software space mein badhti hui competitive pressure ko handle karegi, uspar nazar rakhenge.