Home› 🧠 Models ›Scaling Kubernetes to 7,500 nodes… OpenAI 🧠 Models 🕐 Jan 25, 2021 👁 75 ⏱ 1 min read Scaling Kubernetes to 7,500 nodes Annons Annons We’ve scaled Kubernetes clusters to 7,500 nodes, producing a scalable infrastructure for large models like GPT-3, CLIP, and DALL·E, but also for rapid small-scale iterative research such as Scaling Laws for Neural Language Models. Source: OpenAI — Published January 25, 2021 at 08:00 UTC — Category: Models 🔗 Read full article on OpenAI → 🏷️ Topics: GPT ⚡ Popular — 75 views Share: 𝕏 Twitter in LinkedIn 💬 WhatsApp 🔗 Copy Link More in Models Latent Space15h ago [AINews] Anthropic IPO: Whither Now? The Decoder23h ago Ripple-65B Preview delivers strong agentic coding results as a fully Apache 2.0 open US model The Decoder1d ago Perplexity now has its own always-on AI agent NVIDIA AI1d ago How NVIDIA Open Source Tools Are Helping Researchers Build Next-Generation 6G Networks The Decoder1d ago Frontier Radar #5: If AGI is so close, why is everyone leaving? The neolabs and their bets Latent Space1d ago Controlling Biology - Fabian Theis, Helmholtz Munich Annons Annons