The Challenges
Everyone’s chasing faster and cheaper models.
The real race is on "go_fast" variants that cut costs, boost margins, and unlock new SKUs.
Speed sells: it drives profit, revenue, and customer retention.
Inference engineering is hard: it needs top-tier infrastructure and seamless developer experience.
Inference optimization adds complexity. Each model release requires compatibility checks across architectures and hardware.
ML Performance Engineers are rare and pricey.
“We can’t afford to be 3 weeks late on every new model.”
“We don’t have time to hire someone just for optimization.”
“How do we increase revenue per run or user?”
The Solution
Make “fast” a unique feature for your product.
Ship new endpoints in hours, not weeks.
Get the latest compression algorithms and their combinations.
The skills of an in-house optimization team of engineers and researchers are in a single package.
Get the fastest model variant available for your customers before anyone else.
Reduce your inference costs, improve your margins.
Learn how Pruna helped Cloud Providers boost their inference speed
