Acer CEO Says Memory Shortage Has Ended, Forecasts 2027 Price Decline as CXMT Ramps Output

Acer's CEO Jason Chen announced that the global memory chip shortage has ended and that memory prices are expected to begin a steady decline starting in the second half of 2027 as CXMT ramps up output. For website owners, the easing of memory constraints translates into lower server‑side RAM costs and greater flexibility when scaling AI‑driven services such as chatbots, recommendation engines, and on‑site LLM inference. As memory becomes cheaper, hosting providers are likely to offer more RAM‑heavy plans at competitive rates, making it financially viable to run larger language models directly on your infrastructure rather than relying exclusively on third‑party APIs. This shift also reduces the risk of performance bottlenecks that previously forced sites to throttle AI traffic during peak loads. **Actionable tips:** 1. **Update your llms.txt** to declare the higher‑capacity models you plan to host locally, specifying the allowed request rate and any usage limits to keep bot traffic within budget. 2. **Implement memory‑aware bot tracking** using tools like llmscentral’s traffic analyzer to flag spikes in RAM consumption that may indicate abusive AI crawlers or misconfigured bots. 3. **Negotiate hosting contracts now** while providers still price RAM competitively, locking in multi‑year agreements that include provisions for scaling AI workloads without surprise price hikes.