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Foresight News reports that Ink ecosystem DEX Nado has concluded its first season and launched its second season. Key updates include the cancellation of the invitation system (from May 21, any user can directly register and start trading); a trading competition (the first cash reward competition will be held from May 25 to June 1, with a total prize pool of 100,000 USD); adjustments to the points system (the size of the points pool will be linked to the platform's overall trading volume, and the higher the protocol's trading volume, the higher the weekly points emission cap); an upgraded referral system (a commission reward based on fees will be introduced in the future, operating alongside the existing points rewards); and optimization of the fee structure (adjusting the fee tiers to lower the threshold for high-tier users). In addition, Nado stated that RWA will be gradually introduced as collateral in the second season, and plans to launch a tokenized market with 24/7 trading and fiat on/off ramps.

However, the bank points out that, setting aside this noise, the focus should be on NVIDIA's following advantages: the total addressable market (TAM) for AI is expected to grow fourfold over the next four years, surpassing 3 trillion USD by 2030 (previously forecasted at 1.7 trillion USD), with NVIDIA possessing a unique full-stack positioning; industry-leading gross margin of 75%, free cash flow profit margin at around 48%, while significantly raising dividend by 25 times to 0.45%, and planning to repurchase approximately 120 billion USD in shares; demonstrating new leadership in the proxy CPU market, with 20 billion USD in demand already observed for the second half of fiscal 2026, and related memory and wafer capacity already reserved. The bank has raised its earnings per share forecasts for NVIDIA for fiscal 2027 and 2028 by 9% and 15% respectively, to 9.09 USD and 13.27 USD, and has increased the target price from 320 USD to 350 USD, maintaining a “Buy” rating.

Store employees reported that this tool frequently malfunctions, failing not only to resolve inventory issues but actually worsening them, becoming the latest example of AI implementation difficulties in the retail sector.