Here’s what’s new from Coiled 👇 ⚙️ uv support Use uv, Astral's fast Rust-based Python package manager, to define dependencies right in your script and run it with Coiled Batch. 📦 Coiled Batch upgrades: easier parallelism + task coordination `--map-over-values` makes it easy to parallelize jobs over inputs. Built-in task metadata like task ID, cluster ID, scheduler IP addresses are great for tracking with tools like MLflow or W&B. 🚀 Distributed training with Hugging Face Accelerate Train large PyTorch models across multiple GPU-enabled VMs with just a few lines of config. Our new example shows how to scale fine-tuning in the cloud. 🪨 Learn how KoBold Metals uses Coiled to process massive geospatial datasets for battery metal discovery. ☁️ Coiled vs AWS Lambda for long-running jobs Lambda’s great, until your job runs longer than 15 minutes or needs a GPU. We wrote about how Coiled compares to Lambda, Fargate, and Batch.
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October updates: Filestores and sidecars now available for Coiled Batch, upcoming events, and how Double River scales equity trading simulations.
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August updates: lightweight container support, marimo notebooks on the cloud, and how Guac scales demand forecasting to reduce food waste
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July updates: uv support, distributed GPU model training, and how KoBold Metals accelerates mineral discovery with Coiled
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