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Cloud Infrastructure

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Emulated: The Data for Fully Autonomous Software Engineers and Companies — Joseph Wang Jul 31, 2026 · 16:33 To train autonomous AI agents, Emulated simulates entire companies in high-fidelity environments. This moves beyond simple code diffs to model complex failures across distributed clusters and cloud resources.

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Building Turbopuffer: Gergely Orosz (@pragmaticengineer ) × Simon Eskildsen (CEO) Aug 3, 2026 · 56:30 The conversation dives into scaling distributed systems, covering everything from simulating database failures with proxies to optimizing vector storage on S3 for AI workloads. Can you forecast next week's weather? Sep 17, 2026 · 31:21 Discover the shift from physics-based to AI weather forecasting models. Learn how Hugging Face is standardizing the deployment, evaluation, and fine-tuning of complex scientific models using EarthMover and cloud infrastructure. CoreWeave Arena: ARIA – AI research and iteration agent Sep 28, 2026 · 5:55 Discover CoreWeave ARIA, an AI research agent built into Coreweave Forge. ARIA automates the AI development lifecycle by analyzing metrics, generating comparative workspace views, and running auto research experiments to accelerate model optimization.

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CoreWeave Fully Connected 2026 Keynote: Introducing CoreWeave Forge | Built for Adoption Oct 14, 2026 · 1:51:33 CoreWeave Forge unifies the AI loop (Run, Observe, Curate, Improve, Evaluate) into one connected environment. The keynote detailed how to move AI agents from demo to production, featuring the NVIDIA Vera Rubin NVL72 and advanced evaluation techniques. Optimize capacity, control cost, and scale economically Oct 9, 2026 · 40:53 Learn how to optimize AI compute capacity, control costs, and scale economically using CoreWeave's advanced capacity plans, Spot Instances, and the Mission Control platform. Lessons from Generating 12 Trillion Synthetic Tokens — Bogdan Gaza, DatologyAI Oct 2, 2026 · 20:32 Bogdan Gaza details the engineering lessons from generating 12 trillion synthetic tokens. He covers scaling from Slurm to a unified Ray/KubeRay/vLLM pipeline on EKS, solving bottlenecks like S3 metadata fetching and cross-cluster scheduling.

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