Spell Blog

MLOps

More effective Tensorflow 2: Best practices and design patterns

February 19th, 2021

We’ll walk through solutions to common problems you might run into when using TF on non-trivial projects and discuss best practices for optimal productivity.

Product Updates

ML observability with Spell and Arize

February 9th, 2021

Announcing our new partnership with Arize, bringing sophisticated model observability tools to Spell model servers.

MLOps

Speeding up model training with PyTorch JIT

February 3rd, 2021

PyTorch JIT can be used to enable 2x-3x speedups on custom module code.

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