Artificial Intelligence | Machine Learning | Machine Perception HPC-AI Tech | Enterprise AI & MLOps


Enterprise, Enterprise AI, Model Training & Deployment, Mlops Singapore , Singapore

HPC-AI Tech

Artificial Intelligence | Machine Learning | Machine Perception


HPC-AI Tech | Enterprise AI & MLOps

HPC-AI Tech

Enterprise AI, Model Training & Deployment, Mlops


Singapore , Singapore

Better Performance and Lower Costs for Enterprise AI and MLOps. Colossal-AI can significantly improve the efficiency of large-scale AI model training and deployment. You just need to write a simple source code on your laptop and Colossal-AI can help you automatically deploy it to the cloud and supercomputers. Colossal-AI can help you save computing resources. Without Colossal-AI, you need more than 100 GPUs to train large models like GPT-3. With Colossal-AI, now you only need 50% of GPUs to train the huge model. Even on low-end hardware, Colossal-AI can help you to train 2 to 3 times larger models. Powered by all kinds of parallel computing techniques, Colossal-AI can give you a huge performance improvement for training AI models on your hardware. Our goal is to help you train your AI models 10 times faster.

HPC-AI Tech is a startup focusing on improving the efficiency of enterprise AI model training and deployment. Before his startup launched, the founder had broken two world records for AI training speeds. In 2019, the most recent record, he and a team claimed the top BERT training speed, which is a benchmark used by Google and Microsoft, among others, to measure a machine's understanding of human languages. HPC-AI Tech is the company behind Colossal-AI, a cloud-native platform combining the ability to scale the most expensive AI workloads (e.g. GPT-3) with the simplicity of a laptop-like development environment. Colossal-AI is one of the fastest-growing open-source projects in scalable AI with 3,600 GitHub stars and is being used by hundreds of organizations globally, including IBM, Ant Group, Walmart, Oxford, OPPO, and Oracle.

 

B2B

1 to 25

Seed

$6M

Scaling Up

2021

 
 

Information Technology and Services
Enterprise Software

Minimize Deployment Costs
Maximize Computational Efficiency
Automatic Deployment

Increase Efficiency

 
 

Analytics
Service

Yes

Active

 
 

   Machine Learning
   Machine Perception


MLOps

MLOps

Enterprise Application

Enterprise Application


Text

Text

Structured

Structured

 

   Software


PostgreSQL

PostgreSQL

Jenkins

Jenkins

Tensorflow

Tensorflow

Kubernetes

Kubernetes

Docker

Docker

JavaScript

JavaScript

Typescript

Typescript

C/C++

C/C++

Python

Python


Deep Learning Algorithm

Deep Learning Algorithm

Machine Learning Algorithm

Machine Learning Algorithm

 
 

3

1

$6M

Company was founded 2021 and it took almost 1 year (Sep 2022) to raise first external round

 
 

Date

Round

$ Raised

Investors

09/15/2022

Seed

$6M

BlueRun Ventures, Sinovation Ventures, ZhenFund

Date : 09/15/2022

Round: Seed

$ Raised: $6M

Investors: BlueRun Ventures, Sinovation Ventures, ZhenFund

 

Investors

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Prof. Yang You

Prof. Yang You
Founder

Prof. James Demmel

Prof. James Demmel
CSO

Jiarui Fang

Jiarui Fang
Chief Technology Officer

Sumit Saurabh

Sumit Saurabh
Director of Growth

 
 

Potential Customers

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