What is Shoc Platform?
Shoc Platform enables you to run machine learning and high-performance computing (HPC) jobs without managing infrastructure. Scale effortlessly, pay only for what you use, and focus on your code—not the servers.
Problem
Users managing machine learning and high-performance computing workloads face complex infrastructure setup, manual scaling, and inefficient cost management with traditional cloud solutions, leading to operational overhead and wasted resources.
Solution
A serverless platform for ML and HPC workloads that allows users to deploy code without infrastructure management, automatically scale resources, and pay-per-use. Example: Run distributed training jobs with one-click deployment.
Customers
Data scientists, machine learning engineers, and computational researchers in tech companies or academic institutions who need scalable compute without DevOps overhead.
Unique Features
Specialized serverless architecture optimized for batch ML/HPC jobs, abstracting away cluster orchestration while supporting frameworks like PyTorch and TensorFlow out-of-the-box.
User Comments
Saves weeks of cloud configuration time
Finally a Heroku-like experience for HPC
Cost dropped 40% vs. managed Kubernetes
Missing some niche ML libraries
Needs better job monitoring tools
Traction
Launched 6 months ago; used by 120+ teams (disclosed in PH comments); integrates with AWS/GCP; founder has 2.3K LinkedIn followers
Market Size
Global machine learning infrastructure market projected to reach $96.7 billion by 2025 (MarketsandMarkets), with cloud-managed services growing at 28% CAGR.
