Core Technology
Based on the foundation of proprietary technologies and a core “brain” built on a deep learning platform,
SenseTime has rapidly opened up AI application in multiple vertical scenarios.
Key Technology
  • 01AI Supercomputing Platform
  • 02High-Performance AI Storage
  • 03Self-developed AI Training Framework
  • 04AI Supercomputing Platform

01 / 04

AI Supercomputing Platform

The self-developed, large-scale AI supercomputing platform can run 14, 000+ GPUs. With multiple storage backends, it conducts optimizations specific to AI applications characteristics, supports storage for hundreds of billions of files, and reads over 1 million files per second. With high-performance InfiniBand network and lightweight virtualization, the platform provides strong computing power.

02 / 04

High-Performance AI Storage

The technology optimizes data transmission, I/O and caching for AI applications. It supports storage for hundreds of billions of files and read performance at over 1 million IOPS. It also simultaneously provides file system and object storage for different data types, guaranteeing data security and system stability under heavy data load with enhanced data isolation, authority control and user-defined QoS. It provides SDKs for users to rapidly perform integration development.

03 / 04

Self-developed AI Training Framework

SenseTime has developed the AI training framework SenseParrots, and owns the entire intellectual property rights for the full technology stack, and supports large-scale concurrent training. It is optimized for industry-scale training, including training in parallel on thousands of GPUs, models with hundreds of billions of parameters, tasks containing tens of millions of categories and tens of billions of samples. Significantly enhancing the efficiency of development and deployment, SenseParrots’ overall performance leads the industry and broadens the boundary of application boundary.

04 / 04

AI Supercomputing Platform

The self-developed, large-scale AI supercomputing platform can run 14, 000+ GPUs. With multiple storage backends, it conducts optimizations specific to AI applications characteristics, supports storage for hundreds of billions of files, and reads over 1 million files per second. With high-performance InfiniBand network and lightweight virtualization, the platform provides strong computing power.

Technology
  • AI Supercomputing Platform
  • High-Performance AI Storage
  • Self-developed AI Training Framework
  • AI Supercomputing Platform

01 / 04

AI Supercomputing Platform

The self-developed, large-scale AI supercomputing platform can run 14, 000+ GPUs. With multiple storage backends, it conducts optimizations specific to AI applications characteristics, supports storage for hundreds of billions of files, and reads over 1 million files per second. With high-performance InfiniBand network and lightweight virtualization, the platform provides strong computing power.

02 / 04

High-Performance AI Storage

The technology optimizes data transmission, I/O and caching for AI applications. It supports storage for hundreds of billions of files and read performance at over 1 million IOPS. It also simultaneously provides file system and object storage for different data types, guaranteeing data security and system stability under heavy data load with enhanced data isolation, authority control and user-defined QoS. It provides SDKs for users to rapidly perform integration development.

03 / 04

Self-developed AI Training Framework

SenseTime has developed the AI training framework SenseParrots, and owns the entire intellectual property rights for the full technology stack, and supports large-scale concurrent training. It is optimized for industry-scale training, including training in parallel on thousands of GPUs, models with hundreds of billions of parameters, tasks containing tens of millions of categories and tens of billions of samples. Significantly enhancing the efficiency of development and deployment, SenseParrots’ overall performance leads the industry and broadens the boundary of application boundary.

04 / 04

AI Supercomputing Platform

The self-developed, large-scale AI supercomputing platform can run 14, 000+ GPUs. With multiple storage backends, it conducts optimizations specific to AI applications characteristics, supports storage for hundreds of billions of files, and reads over 1 million files per second. With high-performance InfiniBand network and lightweight virtualization, the platform provides strong computing power.

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