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Blaize

Intelligence at the edge of everywhere.

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Description

Blaize offers a new generation of computing focused on unleashing the potential of Artificial Intelligence at the edge. The company provides integrated hardware and software solutions designed to overcome traditional barriers of energy consumption, cost, and complexity in AI deployment. Their offerings include the Blaize® Pathfinder® and Xplorer® AI Edge Platforms, built upon the efficient and adaptable Blaize® Graph Streaming Processor (GSP®) architecture.

Complementing the hardware is the Blaize® AI Studio, an open and code-free software platform that streamlines the entire edge AI operational workflow, from initial concept to deployed application. This suite aims to significantly reduce the complexity, time, and cost associated with developing and deploying AI applications, particularly for edge devices. Blaize targets various markets including automotive, smart vision, and enterprise computing, enabling advanced AI use cases across industries.

Key Features

  • Blaize® Graph Streaming Processor (GSP®): Powerful, energy-efficient, and adaptable architecture for AI workloads.
  • Blaize® Pathfinder® & Xplorer® AI Edge Platforms: Provide efficient, flexible, accurate, and cost-effective edge AI deployment.
  • Blaize® AI Studio: Open and code-free software platform spanning the complete edge AI workflow from idea to deployment.
  • Energy Efficiency: Designed for low power consumption suitable for edge devices.
  • Scalability: Solutions applicable from edge devices to data centers.
  • Graph-Native AI Software Suite: Simplifies and speeds up the deployment of AI applications.

Use Cases

  • Developing and deploying AI applications on edge devices.
  • Optimizing AI performance for automotive applications.
  • Enhancing smart vision systems with AI capabilities.
  • Building tiered edge-to-core AI solutions for enterprises.
  • Implementing AI-based computer vision for safety and security.
  • Scaling AI applications economically in data centers.
  • Reducing complexity and cost in MLOps and AI app development.

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