ChatGPT Partial Outage Disrupts Services Amid Skyrocketing Demand
A partial outage affected OpenAI’s ChatGPT early Tuesday morning, leaving many users unable to access ChatGPT, Sora, or the API. If you're wondering why ChatGPT isn’t working or why you’re seeing “Too many concurrent requests” errors, the issue stems from a significant service disruption currently being resolved. The ChatGPT partial outage, confirmed by OpenAI, began late Monday night and has continued into Tuesday, causing elevated error messages and slow response times.
What Caused the ChatGPT Partial Outage?
According to OpenAI’s official status page, engineers began investigating performance issues late Monday. By 5:30 a.m. PT Tuesday, they had identified the root cause and initiated a fix. However, by 8 a.m. PT, OpenAI warned users that full service restoration could take a few more hours. This delay affects users across time zones—especially those starting their workday on the U.S. West Coast. The outage is more prolonged than typical ChatGPT disruptions, which are usually resolved within a couple of hours.
Demand on OpenAI Services Continues to Surge
This partial outage comes at a time when OpenAI’s usage is peaking. During Apple’s WWDC event just a day earlier, the tech giant announced deeper integration of OpenAI’s models into iOS features. Additionally, OpenAI revealed it has reached a remarkable $10 billion in annualized recurring revenue. These milestones signal massive user growth and increasing dependence on OpenAI’s services. CEO Sam Altman even noted that their “GPUs are melting,” a metaphor for the immense demand placed on their computing infrastructure.
How Users and Developers Are Affected
Users attempting to access GPT-4o during the outage encountered high-latency responses or complete service errors. Developers using the OpenAI API also reported failures, especially those relying on the o3 AI reasoning models. While OpenAI did announce an 80% price cut for these models just before the outage, the disruption has made accessing them temporarily unreliable. This underscores a broader challenge: scaling AI to meet global demand while maintaining uptime and reliability.
Post a Comment