Hystax Employee Directory
Software DevelopmentCalifornia, United States11-50 Employees
Welcome to Hystax’s LinkedIn page! Please, follow us for regular updates about our products, services, IT industry benchmarks, trends & best practices. Hystax, the leading FinOps and MLOps solution provider, develops its flagship product, OptScale. It allows running ML/AI or any type of workload with optimal performance and infrastructure cost by profiling ML jobs, running automated experiments, and analyzing cloud usage. Hystax mission Our mission is to help companies optimize the performance and cost of ML model training jobs and increase the number of experiments an ML engineer can run. Hystax is currently the solution for iconic brands like PwC, Ives Rocher, Nokia, DHL, and Airbus for its FinOps/MLOps adoption, offering them a platform that promotes complete cloud cost visibility and countless optimization recommendations. Hystax flagship solution – OptScale OptScale can be used as a SaaS or deployed from source code; it is optimized for ML/AI teams but works with any workload. The platform delivers a wide range of ML/AI-focused capabilities, which help ML/AI teams multiply the number of ML/AI experiments running in parallel with minimal cloud/infrastructure costs. Hystax OptScale primary MLOps capabilities include: ● ML model leaderboards ● Runsets - an automated run of a number of experiments with configurable datasets, hyperparameter ranges, and model versions ● Team and individual ML engineer progress observability ● ML/AI task profiling, bottleneck identification - a simple Python module to collect internal metrics and OptScale to collect cloud metrics to find bottlenecks and correlation ● Optimization recommendations - optimal Reserved Instances and Savings Plans usage, rightsizing, unused resources, cost allocation, and more. Other solutions Hystax Acura – cloud backup, cross-cloud disaster recovery, and live cloud migration from the any-to-any cloud platform. Email: info@hystax.com
1-888-653-2347 
support@leadiq.com 
