$BTC $ETH
A lot of news has recently “popped” out from the chip industry: at CES 2026, Qualcomm unveiled its new-generation Snapdragon X2 Plus and the Dragonwing IQ10 chip designed specifically for robots, officially moving into Intel and AMD’s turf. Intel introduced the third-generation Core Ultra (Panther Lake), using the 18A process, with peak computing power up to 180TOPS, enabling local deployment of large models with 70 billion parameters. AMD released the Ryzen AI 400 series “Gorgon Point.” With several giants on the same stage, what they’re competing on is no longer clock speed or core counts anymore—all of them are talking about “how computing power can serve AI.”
In the past, chip makers competed on who could run faster and who had more cores. Now, it’s about who can make AI models run well locally—so the evaluation criteria have changed. Whether hardware can “carry AI” has become the most critical life-or-death line in the industry.
apiarys is an aggregation platform that lets you directly call various AI models and Agents. You pay per use, and the proceeds are settled in $HNY. Unlike chip vendors fighting separately and locking users into a single ecosystem, apiarys allows Agents to execute tasks either in the cloud or locally, without relying on any one chip vendor’s product line. A real-world, gold-quantized Agent case is already running with live trading—project-provided historical backtest data shows daily returns of 1.5%-2% and monthly returns of 30%-40% (depending on market conditions). **What can this project do for you?** You don’t need to research which chip to buy in order to use AI capabilities. Just call the ready-made AI Agent capability. The participation cost is very low, with no capital threshold.
All the major chip giants are racing for the “AI computing power” territory. Do you think, in the end, one company will truly unify this battlefield—or is there fundamentally no winner?
#AI芯片混战 #黄金量化Agent
A lot of news has recently “popped” out from the chip industry: at CES 2026, Qualcomm unveiled its new-generation Snapdragon X2 Plus and the Dragonwing IQ10 chip designed specifically for robots, officially moving into Intel and AMD’s turf. Intel introduced the third-generation Core Ultra (Panther Lake), using the 18A process, with peak computing power up to 180TOPS, enabling local deployment of large models with 70 billion parameters. AMD released the Ryzen AI 400 series “Gorgon Point.” With several giants on the same stage, what they’re competing on is no longer clock speed or core counts anymore—all of them are talking about “how computing power can serve AI.”
In the past, chip makers competed on who could run faster and who had more cores. Now, it’s about who can make AI models run well locally—so the evaluation criteria have changed. Whether hardware can “carry AI” has become the most critical life-or-death line in the industry.
apiarys is an aggregation platform that lets you directly call various AI models and Agents. You pay per use, and the proceeds are settled in $HNY. Unlike chip vendors fighting separately and locking users into a single ecosystem, apiarys allows Agents to execute tasks either in the cloud or locally, without relying on any one chip vendor’s product line. A real-world, gold-quantized Agent case is already running with live trading—project-provided historical backtest data shows daily returns of 1.5%-2% and monthly returns of 30%-40% (depending on market conditions). **What can this project do for you?** You don’t need to research which chip to buy in order to use AI capabilities. Just call the ready-made AI Agent capability. The participation cost is very low, with no capital threshold.
All the major chip giants are racing for the “AI computing power” territory. Do you think, in the end, one company will truly unify this battlefield—or is there fundamentally no winner?
#AI芯片混战 #黄金量化Agent