HPC-AI Technology
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2026-04-15
Researched 50d ago
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HPC-AI Technology is a Singaporean AI research organization founded in 2021. Unmatched speed, scale, and precision. HPC-AI Technology's model catalog is being expanded as public releases are verified and linked to stable pages. This page tracks the lab's public profile, known focus, related organizations, and catalog coverage status. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added.
About
HPC-AI Technology, founded in August 2021, is at the forefront of the high-performance computing and artificial intelligence domains, with a sharp focus on generative AI and Large Language Models (LLMs). Originating in Singapore, the company strives to revolutionize AI productivity by significantly accelerating deep learning training and inference processes. This aspiration sees realization through their flagship project, Colossal-AI, which is a deep learning framework engineered for large-scale and efficient AI model training. One of the most compelling features of Colossal-AI is its 'Lightning AI' capability, designed to optimize the training of monumental models such as GPT-3, requiring fewer GPUs and therefore reducing costs. In addition, the 'PatrickStar' system enables parallel training using chunk-based dynamic memory management, crucial for pre-trained models. Complementing this is 'EnergonAI', which serves as an inference system streamlining the deployment of large transformer models. These innovations cater to the escalating demand for accessible and cost-effective AI technologies amidst enterprises. Guiding this trailblazing enterprise is Professor Yang You, a Presidential Young Professor from the National University of Singapore with a distinguished academic lineage as a UC Berkeley PhD graduate. His significant contributions to high-performance computing have garnered multiple accolades, including a spot in Forbes' 30 Under 30 Asia list. The expertise of the core team, comprising scholars from elite global institutions like UC Berkeley and Stanford University, enables HPC-AI to remain a beacon of innovation and excellence in the generative AI space. HPC-AI's commitment to open-source development has yielded further groundbreaking projects such as Open-Sora, which targets the democratization of high-quality video creation with efficient video generation techniques. Their monumental growth is punctuated by a $50 million Series A funding round secured in 2024, drawing backing from industry giants like Singtel Innov8 and Sinovation Ventures. Their technological prowess has attracted a clientele featuring four Fortune 500 companies alongside industry titans such as AWS, Alibaba, IBM, and Oracle. Colossal-AI's growing influence is evident with over 60,000 stars on GitHub, attesting to the project's widespread endorsement and utility within the global AI consortium. In essence, HPC-AI Technology exemplifies a visionary approach toward addressing the prevalent challenges in training and deploying large-scale AI models by fostering innovations that make advanced AI more affordable and accessible to organizations globally, consequently strengthening the fabric of AI advancement.
Model families
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FAQ
Who founded HPC-AI Technology and when?
HPC-AI Technology was founded in 2021 and is associated with Singapore, Singapore.
What models has HPC-AI Technology released?
HPC-AI Technology does not yet have linked model pages in LLMReference; this profile tracks the lab while model entries are verified.
Is HPC-AI Technology's technology open source?
LLMReference does not yet have enough model license data to classify HPC-AI Technology's releases.
Where is HPC-AI Technology headquartered?
HPC-AI Technology is headquartered in Singapore, Singapore.
What is HPC-AI Technology known for?
Unmatched speed, scale, and precision.
How can I access HPC-AI Technology's models?
HPC-AI Technology's provider availability is tracked on model pages as API and hosting data is verified.
Explore related pages
Last reviewed: 2026-04-15. Data sourced from public lab announcements and provider documentation.