TREE NEWS reports: OpenAI’s first self-developed ASIC chip, Jalapeño, has reportedly surpassed Nvidia’s GB300 and Blackwell in key performance metrics, according to tests by SemiAnalysis. The chip, developed with Broadcom, achieves higher throughput and lower latency while consuming less power, marking a significant milestone in AI hardware. However, experts note it is still in engineering sample stage, with mass production expected by 2027.
OpenAI’s In-House ASIC Chip ‘Jalapeño’ Outperforms Nvidia Blackwell in Tests
AI take
This signals a potential shift in AI infrastructure leverage, as a custom in-house chip could reduce dependency on dominant suppliers. The reported efficiency gains matter for scaling costs, but the engineering sample stage and 2027 timeline mean near-term market dynamics are unchanged. Watch whether performance holds through production and how suppliers respond competitively.
Generated by AI for reference only.
Share on WeChat
Open WeChat → Scan → then tap "…" to send to a chat or Moments.
Tap "…" in the top-right corner to send to a chat or share to Moments.
Related News
31m ago
Aave Halts New tBTC Deposits and Borrowing After Threshold Maintenance Update
34m ago
Crypto Exchanges Tighten Security After $6.3B Binance Theft
39m ago
Binance in Talks for Malaysia License After Five-Year Absence
46m ago
Ethereum Draft EIP Proposes Permanent Opt-Out of EIP-7702 Delegation
53m ago
xAI’s Grok Adds UnionPay and Alipay Payment Support in Mainland China
1h ago
Rates Exchange Raises Coinbase Ventures Investment for On-Chain Rate Trading