HPC-AI Tech

What HPC-AI Tech does

HPC-AI Tech provides an AI cloud platform and enterprise AI services, focusing on improving the efficiency of enterprise AI model training and deployment. The platform offers full process coverage for large model development and deployment, including data collection, model training/fine-tuning, and inference deployment. It provides software and hardware all-in-one full-stack resources with a pay-as-you-go model. The company's solutions are optimized with the Colossal-AI software stack and support diverse hardware platforms. They offer deep integration of LLMs with enterprise knowledge, model fine-tuning, data cleaning, and performance enhancement for AI Agents. HPC-AI Tech aims to achieve significant performance boosts and cost savings for its clients, covering the entire AI lifecycle from data processing to deployment.

Products

• Colossal-AIA cloud-native platform combining the ability to optimize and fully adapt with the Colossal-AI software stack, powering the self-developed large model optimization system.
• Open-SoraAn open-source project recognized on Github Trending.

Key capabilities

• Activate anytime, pay-as-you-go, one-click cloud available
• Covers NVIDIA H200, B200, and more
• Full process coverage of large model development and deployment applications
• Software and hardware all-in-one full stack resources
• Optimized and fully adapted with the Colossal-AI software stack
• End-to-end support across diverse hardware platforms and application scenarios
• One-click management/development/application of AI large models with zero/low code
• Low cost auto elasticity scaling
• Deep integration of LLMs with enterprise knowledge
• Supports model fine-tuning, data cleaning, and other professional AI techniques
• Hundreds of tricks available to enhance Agent performance
• Innovative, fully localized, full-stack optimization solution based on reinforcement fine-tuning technology
• Covers the entire lifecycle: data processing, pre-training, fine-tuning, inference, and deployment
• Full-chain support for training, inference, and deployment
• Achieve 10x performance boost and cost savings

Use cases

• AI model training and deployment
• Large model development and deployment applications
• Data collection preparation for AI models
• Model training/fine-tuning
• Inference deployment
• Deep integration of LLMs with enterprise knowledge
• Enhancing Agent performance
• Developing multimodal embodied intelligence agents
• Optimizing multimodal inference performance
• Providing AI large-model software infrastructure for emerging hardware platforms
• Pre-training privately deployed hundred-billion-parameter large models on GPU clusters
• Applying RLHF fine-tuning to privately deployed hundred-billion-parameter large models
• Optimizing novel model architectures such as MoE
• R&D in cutting-edge areas including autonomous driving algorithms, multimodal fusion, and knowledge distillation
• Optimizing and enhancing training and inference speed for algorithms and models
• Building high-quality, multi-lingual ChatGPT-like enterprise customer service
• Optimizing large language model inference speed
• Developing ChatGPT-like models for specific industries (e.g., energy, media)
• Providing optimization solutions for protein prediction models for the biopharmaceutical industry
• Building multimodal automated decision-support systems based on internal enterprise business data
• Enhancing system engineering capabilities and introducing AI Agents to reduce costs and improve efficiency

AI approach

HPC-AI Tech provides an AI Cloud Platform and Enterprise AI Services. Their platform, powered by the self-developed Colossal-AI optimization system, offers full process coverage for large model development and deployment, including data collection, training, fine-tuning, inference, and end-to-end delivery. They focus on optimizing performance and cost-effectiveness for AI model training and deployment, supporting diverse hardware platforms and application scenarios. They also offer deep integration of LLMs with enterprise knowledge and support for model fine-tuning and data cleaning.

Tech named: Colossal-AI, BERT, LLMs, RLHF fine-tuning, MoE (Mixture of Experts), AlphaFold2-like model, autonomous driving algorithms, multimodal fusion, knowledge distillation, Open-Sora

Industries served

• Industry
• Academia
• Research
• Electrical
• Technology
• Automotive
• Mobile Device
• Internet
• Energy
• Media
• Biopharmaceutical
• Manufacturing

What it says sets it apart

• Founder broke two world records for AI training speeds, including BERT training speed
• Optimized and fully adapted with the Colossal-AI software stack
• End-to-end support across diverse hardware platforms and application scenarios
• One-click management/development/application of AI large models with zero/low code
• Low cost auto elasticity scaling
• Achieve 10x performance boost and cost savings
• Innovative, fully localized, full-stack optimization solution based on reinforcement fine-tuning technology
• Community recognition with Colossal-AI and Open-Sora ranking #1 on Github Trending

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.