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deepx.ai

deepx.ai delivers ultra-efficient, low-power AI chips and modules that bring high-performance edge AI to robotics, smart cities, and portable devices.

deepx.ai screenshot

Category: AI Detection

Price Model: Freemium

Audience: Enterprise

Trustpilot Score: N/A

Trustpilot Reviews: N/A

Our Review

deepx.ai: Powering Edge AI with Ultra-Efficient Semiconductor Innovation

deepx.ai is a cutting-edge AI semiconductor company dedicated to advancing on-device artificial intelligence through high-performance, energy-efficient AI chips and modules. Designed for edge AI applications, their technology delivers GPU-level accuracy with significantly reduced power consumption and cost, making it ideal for developers, engineers, and enterprises building smart, sustainable systems. With a focus on real-time inference, low energy use, and compact form factors, deepx.ai enables next-generation applications in robotics, industrial computing, smart cities, and autonomous devices. The company’s DX-M1 chip achieves 240% better performance than a 40W GPGPU while using just 5W, reducing electricity costs by 94% over five years and cutting AI emissions by 90%—equivalent to planting 6,700 pine trees. Their upcoming DX-M2 chip targets Generative AI on portable, battery-powered devices, pushing the boundaries of on-device intelligence. deepx.ai supports developers with the DX TechBridge Program, offering technical support, SDK tools, training resources, and early access to new products, fostering rapid integration and innovation. Recognized globally with awards from EETimes, COMPUTEX Taipei, CES 2025, and Frost & Sullivan, deepx.ai is a leader in sustainable, high-efficiency AI hardware.

Key Features:

  • Ultra-Efficient AI Chips: DX-M1 delivers 25 TOPS performance at only 3–5W, offering 20x efficiency improvement over traditional GPGPUs.
  • Cost-Effective Solutions: AI chips are priced at 10% of GPU costs, enabling affordable edge AI deployment.
  • Intelligent Quantization (IQ8): Achieves GPU-level accuracy with INT8 efficiency and FP32 precision, optimizing performance and power.
  • Real-Time Inference: Designed for low-latency, real-time AI processing on edge devices with minimal space and power requirements.
  • Diverse Product Line: Includes DX-M1, DX-M1M (Q4 2025), DX-V3 (Q4 2025), DX-H1 PCIe Cards, and the upcoming DX-M2 for Generative AI.
  • Developer Support Program (DX TechBridge): Offers 10 hours of technical support, SDK tools, quick start guides, video courses, and early access to new chips.
  • Mass Production Plan: Provides 50 hours of unlimited technical support, a dedicated engineer, and AI optimization assistance for scaling projects.
  • Evaluation Kits Available: Free worldwide shipping for evaluation kits, allowing hands-on testing of AI modules.
  • Universal Compatibility: Works seamlessly with both x86 and ARM-based architectures.
  • Sustainable Innovation: Reduces AI energy use and emissions by 90%, supporting environmental responsibility.
  • Global Recognition: Honored as a Silicon 100 company (EETimes), awarded Product of the Year (EETimes 2024), Must-See Company at CES 2025, and AI Chip Best Company by Frost & Sullivan.
  • Strategic Partnerships: Collaborates with industry leaders like Wind River, AIC, Nota AI, Biostar, Virtium, DFI, and Hyundai Motor/Kia Corporation.

Pricing: deepx.ai offers evaluation kits and developer programs with accessible entry points, including the DX TechBridge Program for early adopters. While specific pricing details are not publicly listed, the company provides product inquiries through a contact form, suggesting a tailored, usage-based or subscription model for commercial deployment. The availability of evaluation kits and technical support programs indicates a freemium or trial-based adoption approach for developers and innovators.

Conclusion: deepx.ai is a transformative force in edge AI, combining unprecedented performance, efficiency, and sustainability. With a robust suite of AI chips and modules, developer-focused support, and global accolades, it empowers engineers and enterprises to build smarter, greener, and more scalable AI solutions at the edge.

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