Baseten Blog | Page 11
Baseten announces HIPAA compliance
Baseten is a HIPAA-compliant MLOps platform for fine-tuning, deploying, and monitoring ML models on secure model infrastructure.
How we achieved SOC 2 and HIPAA compliance as an early-stage company
Baseten is a SOC 2 Type II certified and HIPAA compliant platform for fine-tuning, deploying, and serving ML models, LLMs, and AI models.
Baseten achieves SOC 2 Type II certification
Baseten, an MLOps platform for model deployment & fine-tuning, now boasts SOC 2 type 2 certification, ensuring data security, privacy, and confidentiality.
Technical deep dive: Truss live reload
Truss' live reload feature revolutionizes iterative development, turning the lengthy 3-30 minute model deployment process into an almost instant task.
New in January 2023
Deploy multiple model versions, model resource management, a cleaner Truss DX, and more.
Choosing the right horizontal scaling setup for high-traffic models
Horizontal scaling via replicas with load balancing is an important technique for handling high traffic to an ML model.
How to choose the right instance size for your ML models
This post simplifies instance sizing with heuristics to choose an optimal size for your model, balancing performance and compute cost.
New in December 2022
2022's rapid ML advancements felt like a decade. Excited for 2023, we anticipate foundational models will further empower scientists and developers in ML apps.
Serving four million Riffusion requests in two days
Riffusion is a fine-tuned version of Stable Diffusion. Baseten served Riffusion over four million times in a couple of days, serving top-of-hacker-news traffic.
