Spell Blog
MLOps
Optimizing PyTorch models for fast CPU inference using Apache TVM
May 6th, 2021
TVM brings order-of-magnitude improvements to model servers running on CPU
MLOps
Model server authentication patterns on Spell
May 4th, 2021
One of the first tasks you'll take on when preparing a model server deployment for production use is setting up authorization
Spell Open Research Grant
April 26th, 2021
Apply for the inaugural cohort of the Spell Open Research Grant and receive
MLOps
A brief history of learning rate schedulers and adaptive optimizers
April 16th, 2021
Learning rate schedulers and optimizers: a brief history
MLOps
Training larger-than-memory PyTorch models using gradient checkpointing
April 6th, 2021
Gradient checkpointing is a key technique for training large models on GPU
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