Skip to main content
RT

RiVAI Technologies

睿思芯科 develops high-performance RISC-V based CPUs and customized SoC designs tailored for edge computing applications, addressing the need for efficient processing in data-intensive environments. Their technology optimizes power consumption and processing capabilities, enabling reliable real-time operations in sectors such as industrial control, telecommunications, and deep learning.

Updated 2 months ago

Funding

Funding not disclosed

SC
Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Edge computing applications require efficient processing of large amounts of data while minimizing power consumption. Existing CPU architectures may not be optimized for the specific demands of these environments, leading to performance bottlenecks and increased energy usage.

Solution

睿思芯科 (Raisi) develops high-performance RISC-V based CPUs and custom System-on-Chip (SoC) designs optimized for edge computing workloads. Their processors are designed to deliver a balance of power efficiency and processing capability, enabling reliable real-time operation in data-intensive applications. Raisi's solutions cater to diverse application needs through highly flexible and deeply customizable instruction sets and microarchitectures. The company's portfolio includes processors tailored for industrial control, telecommunications, deep learning, data centers, and audio/video processing.

Target Audience

The primary target audience includes developers and manufacturers in industries such as industrial control, telecommunications, data centers, and consumer electronics, who require high-performance, low-power processing solutions for edge computing applications.

Features

  • High-performance RISC-V CPUs designed for edge computing
  • Customized SoC designs tailored to specific application requirements
  • High-performance, low-power audio DSP IP
  • 64-bit image/video DSP IP
  • Real-time RISC-V scalar processors for industrial control and networking
  • Ultra-low-power RISC-V microcontrollers
  • Instruction set and microarchitecture customization for specialized applications
  • Support for deep learning, industrial control, 5G communications, data centers, and audio/video processing
This profile is AI-generated and may contain inaccuracies.