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Colossal-AI is the best tool for enhancing your deep learning performance and cost-efficiency.
Large model training/fine-tuning costs are reduced by 10 times, and model capacity is increased by a hundred times.
The inference speed of large models is increased by 10 times, and business deployment is optimized.
Build high-quality AI large models and applications at a cost of one thousand dollar.
Platform-based software and hardware integrated AI large model solution delivery.

Colossal-AI Core Competencies

Best Performance

10x

Training, Fine-tuning and Inference Acceleration

 

Team Streamlining

10x

No Need to Maintain a Large R&D Team

 

Lowest Cost

100x

Reduce the Cost of Large Model Development

 

Easy Using

Optimization Solution Ready for Immediate Use

Multi-system Compatible

Support for Multiple Hardwares and Industry Models

Unlimited Expansion

Scales Well from a Single GPU
to a 10,000 GPUs Cluster 

Colossal-AI Training

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10x Faster

 
Large model training/fine-tuning costs reduced by 10 times
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100x Size


The capacity of the same hardware model is increased by a hundred times

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1000x GPUs

 
512 A100 GPUs pre-trained 70 billion parameters LLaMA-2
  • Easy to Use: Native PyTorch compatibility, start with a few lines of code.

  • Comprehensive Solutions: Integration and optimisation of the latest cutting-edge technologies.

Colossal-AI Inference

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Large Language Models

LLM inference accelerated by 13X
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Stable Diffusion

 

8X cost savings in multimodal generation

 

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AI for ScienceBiomedical

 
AlphaFold2 inference speeds up by 11X
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Colossal-Inference

Improve throughput speed and solve AI large model performance and cost challenges

 

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Colossal-SwiftInfer

Multi-turn dialogue reasoning speed increased by 46%, breaking the length limit of LLM multi-round dialogue

 

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314B Grok-1 inference

Convenient and easy to use, inference acceleration 3.8 times

 

Colossal-AI Modelling

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ChatGPT

The world's first complete solution to reproduce ChatGPT's RLHF training process.
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SFT & CPT

 Fine-tuning model with only half a day on a $1000 budget, with results comparable to mainstream large models.

End-to-end delivery from data collection preparation to inference deployment.

 

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Pretraining from Scratch

 
Optimal large-scale training performance with end-to-end full-process coverage
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Enterprise-wide Knowledge Base

 
Upload only the relevant documents and quickly master the corresponding knowledge competencies.
 
 

Open Sora

The world's first open-source Sora-like architecture video generation model and complete low-cost solution

Colossal-AI Computational Cloud

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Scalable Clusters

 

Private computing resources, Flexible scaling, from single GPU to large distributed clusters 
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Flexible Terms

 

From hourly rentals to yearly bookings, no long term commitment required, ready to go

 

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Multiple Clusters

 
Multiple high-performance hardware clusters available, e.g. NVIDIA H100
 
GPU: 8 X H100-80GG SXM NVLink
CPU: 2 X 8470-52c
Memory: 32 X 64G
Cluster Network: 8 X 400G RoCE
System Disk: 2 X960G NVMe
Local Storage: 4 X 7.68T NVMe
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Instant Launch

 
Pre-configured development environment,
just click and code

Colossal-AI Cloud Platform

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Full process coverage of large model development and deployment applications, including data collection preparation, model training/fine-tuning, inference deployment, end-to-end delivery

Software and hardware all-in-one full stack resources; Pay-as-you-go, no long-term commitment

 Colossal-AI Software Stack Optimisation Adaptation
10X performance acceleration, 100X cost savings
Maximise resource utilisation, minimise large model costs
AI large model training/fine-tuning/inference/model building

One-click management/development/application of AI large models with zero/low code
Low cost auto elasticity scaling

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Colossal-AI is trusted by leading AI teams worldwide

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Meta
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BioMap
Lightning AI
RetailEye
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Clarity AI
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BaseBit.ai
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Colossal-AI Case Study

  • Provide computing power supply and integrated software and hardware solutions for many industries, universities, AI companies, etc.
  • Cooperated with many of the world's leading technology giants in industry, academia and research, and won outstanding papers at top conferences such as AAAI and ACL.

A Fortune 500 company

  • Developed multi-modal Agent, improving multi-task performance by 114%
  • Optimize multi-modal reasoning performance

A Fortune 500 company

  • Provide AI large model software infrastructure for emerging hardware
  • Optimized for emerging hardware performance and price-performance by 30%

A Fortune 500 company

  • Pre-train a privatized large model with hundreds of billions of parameters on the Qianka cluster
  • Optimize multi-modal reasoning performance 8 times

A Chinese Fortune 500

  • RLHF fine-tunes a large model of privatization with hundreds of billions of parameters
  • Optimize ChatGPT PPO speed 10 times

A Chinese Fortune 500

  • Research and develop cutting-edge fields such as autonomous driving algorithms, multi-modal fusion, and knowledge distillation
  • Optimize and improve algorithm, model training and inference speed

A Southeast Asian technology giant

  • Build high-quality, multi-lingual ChatGPT-like enterprise customer service at low cost
  • Optimize large language model inference speed by 13 times

One of the top three AI R&D institutions in Asia

  • Improve the inference speed of large language models by 30%
  • Jointly explore the cutting-edge technology of AI large models

A Middle Eastern energy company

  • Developing a ChatGPT-like model for Arabic + energy industry
  • Build high-quality AI large models at low cost

A computing power center

  • Provide privatized AI large model software infrastructure for AI intelligent computing centers
  • Joint operation of computing power marketing and AI solutions

A certain Chinese leading media

  • Develop a ChatGPT-like model for the Chinese + media industry
  • Build high-quality AI large models at low cost

A medical unicorn

  • Provide optimization solutions for protein prediction models for the biopharmaceutical industry
  • Improved AlphaFold2-like model training/inference by 11 times

An Internet unicorn

  • Low-cost and high-quality construction of a ChatGPT-like model with unified multi-role IP
  • Provide privatized training and pushing all-in-one machine solutions
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The only start-up representative at AWS China Summit

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International Conference on Machine Learning

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Reported by HPC Wire, the world’s number one supercomputing media

High-performance and low-cost implementations Validated performance, easy-to-use solutions Technical support and expertized assistance (1600 x 900 像素) (3)

Obtained official admission to top international AI and high-performance computing conferences/events

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Open source solution replicates ChatGPT training process-Feb-14-2023-02-23-47-1380-PM

Replicate ChatGPT Training Quickly and Affordable with Open Source Colossal-AI

February 14, 2023

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Diffusion Pretraining and Hardware Fine-Tuning Can Be Almost 7X Cheaper! Colossal-AI's Open Source Solution Accelerates AIGC at a Low Cost

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Use a Laptop to Analyze 90% of Proteins, With a Single-GPU Inference Sequence Exceeding 10,000! Accelerate AlphaFold Inference by 5 Times and Reduce GPU Memory by 75%