Compare PTT Express vs. Zebra by Mipsology

You can seamlessly link various employees across multiple departments using an array of Zebra mobile devices, ranging from compact handheld units to robust full-size mobile computers, vehicle mounts, and beyond. The implementation of this PTT solution is remarkably straightforward—there's no need for server or PBX integration. Once the PTT Express voice client is activated on compatible Zebra devices, employees will benefit from the immediate accessibility offered by PTT communications. Moreover, the deployment of the voice client is user-friendly; customers have the option to utilize either ActiveSync or Zebra's mobile device management solutions for installation. This system not only secures voice communications but also lets you select the appropriate security level for various types of communications, supporting open, WEP, and WPA-TKIP-PSK modes. With such flexibility and ease of use, businesses can enhance collaboration and efficiency across their teams.

Mipsology's Zebra acts as the perfect Deep Learning compute engine specifically designed for neural network inference. It efficiently replaces or enhances existing CPUs and GPUs, enabling faster computations with reduced power consumption and cost. The deployment process of Zebra is quick and effortless, requiring no specialized knowledge of the hardware, specific compilation tools, or modifications to the neural networks, training processes, frameworks, or applications. With its capability to compute neural networks at exceptional speeds, Zebra establishes a new benchmark for performance in the industry. It is adaptable, functioning effectively on both high-throughput boards and smaller devices. This scalability ensures the necessary throughput across various environments, whether in data centers, on the edge, or in cloud infrastructures. Additionally, Zebra enhances the performance of any neural network, including those defined by users, while maintaining the same level of accuracy as CPU or GPU-based trained models without requiring any alterations. Furthermore, this flexibility allows for a broader range of applications across diverse sectors, showcasing its versatility as a leading solution in deep learning technology.