What is TensorPool?
Our CLI makes ML model training effortless - just describe your job, and we handle GPU orchestration and execution at half the cost of major cloud providers.
Problem
In the current situation, users face challenges with efficiently training ML models using cloud GPUs. Existing options are expensive and require complex orchestration. This leads to increased costs and complication in setting up and managing resources. The drawbacks include high costs of cloud GPU usage and difficulties in orchestrating and executing ML model training.
Solution
The product, TensorPool, offers a CLI (Command Line Interface) tool. With this tool, users can describe their ML model training jobs, and TensorPool manages GPU orchestration and execution. This solution significantly reduces costs and simplifies the process compared to major cloud providers.
Customers
Data scientists, ML engineers, and developers who require efficient, cost-effective cloud GPU access for ML model training. They are likely individuals or teams in tech companies and startups who frequently engage in machine learning projects.
Unique Features
The product offers a unique cost advantage with claims to operate at half the cost of major cloud providers. It provides an effortless experience in ML model training by automating GPU orchestration and execution, reducing user intervention and complexity.
Market Size
The global cloud computing market size was valued at $371.4 billion in 2020 and is expected to grow at a CAGR of 17.5% from 2021 to 2028, according to Grand View Research. The segment for cloud GPU services within this market is growing, driven by AI and ML advancements.
