In this post, we’ll share how deep learning research usually proceeds, describe the infrastructure choices we’ve made to support it, and open-source kubernetes-ec2-autoscaler, a batch-optimized scaling manager for Kubernetes. We hope you find this post useful in building your own deep learning infrastructure. A typical deep learning advance starts out as an idea, which you test on a small problem.
![Infrastructure for Deep Learning | OpenAI Blog](https://cdn-ak-scissors.b.st-hatena.com/image/square/f36acccd83f562044f82c775e10b20da7b47ce3d/height=288;version=1;width=512/https%3A%2F%2Fimages.openai.com%2Fblob%2F31860186-a1ba-4d48-aef4-c93d21538603%2Finfrastructure-for-deep-learning.jpg%3Ftrim%3D45%252C0%252C47%252C0%26width%3D1000%26quality%3D80)