RNDR & FET AI-infrastructure updates dey boost trend, watch di moving averages

Published: 2026-05-07 07:34:25 |

RNDR and FET still dey central to di AI-infrastructure story after new GPU-market and AI-agent updates. Render (RNDR) approve RNP-023, join Salad Network and add about 60,000 decentralized GPUs to support a more “Default GPU Layer” for enterprise generative AI, including community-governance access to NVIDIA H100/H200-class hardware. Traders dey watch RNDR chart strength: price dey above di 7-, 30- and 200-day SMAs, MACD histogram +0.0166 and RSI-14 62.86, showing momentum but no extreme overbought. Di article talk say possible accumulation fit happen on pullbacks to around $1.85 (30-day zone), with upside path to $2.50–$3.00 if 30-day support hold. Fetch.ai (FET) dem frame as a “catch-up” move for AI agents. Di focus na FET to reclaim di 200-day SMA near ~$0.226, with shorter/medium averages turning into support. Momentum signals dey improve: MACD don cross up from below zero and RSI-14 dey 57.93, less-stretched trend zone than RNDR. Overall thesis na say RNDR and FET need long-term moving averages as durable floors, and on-chain/service metrics to validate di AI hype. Short-term, RNDR look like di leader; FET fit follow if e break and hold key resistance.

Bullish

Bullish for RNDR and small-small bullish for FET. For RNDR, the catalyst (RNP-023 + about 60,000 decentralized GPUs + enterprise position as the “Default GPU Layer”) land with strong trend structure: e dey trade above the 7/30/200-day SMAs with positive MACD momentum and RSI-14 never reach extreme overbought level yet. This combination dey often support dip-buying behaviour and e dey improve chances say the 30-day zone fit become lasting base. For FET, the setup dey more tentative: the story highlight reclaim of the 200-day SMA around ~$0.226, with MACD wey dey improve and moderate RSI, but market fit still fade rallies if long-term resistance no hold. Overall, the news shift near-term probability toward trend continuation, traders likely go favour RNDR strength and treat FET as follow-through candidate wey depend on resistance break.