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How Public Cloud Providers Are Fumbling the AI Opportunity
Manage episode 478240058 series 3660640
محتوای ارائه شده توسط David Linthicum. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط David Linthicum یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
The rapid growth of AI workloads presents both an opportunity and challenge for public cloud providers. While the overall cloud market is projected to reach $2 trillion by 2030, with AI driving significant growth, cost considerations may limit cloud providers' ability to capture this opportunity. Infrastructure costs for AI workloads, particularly those requiring specialized GPU resources, are substantially higher in public clouds compared to traditional data centers and colocation facilities. This cost differential is especially pronounced for inference workloads, which could represent up to 90% of AI compute by 2030 and can be up to 75% cheaper when run on-premises.
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