Build smaller, cheaper, and faster NLP models with TitanML
From research to reality
TitanML compresses and specialises NLP models
TitanML is an optimisation and compression platform, which enables users to achieve best-in-class results for model throughput, latency, and accuracy across a range of model footprints.
TitanML’s pipeline combines dozens of best practices alongside proprietary techniques to produce smaller models bespoke to task, deployment, and hardware.
Deploying NLP models? You’re probably leaving performance on the table
Inefficient large language modes
Poor performing small models
Deploy compressed and specialised NLP models that are smaller, faster, and cheaper.
Deploy more accurate resource efficient models with TitanML
Compared with larger resource efficient models, TitanML models are significantly more accurate on standard NLU benchmarks. TitanML uses state-of-the-art compression techniques that minimise accuracy loss.
Deploy smaller models on cheaper hardware with TitanML
Move to cheaper hardware instances like CPUs or deploy models on premises. Save up to 95% of inference compute cost through smaller and faster models.
Deploy significantly faster
models with TitanML
TitanML produces significantly faster models using proprietary hardware-aware compression and acceleration techniques, perfectly combined for the maximum effect. Expect a 20-100x speed-up compared with BERT-Large models!
