Compare Zebra Legacy vs. Zebra by Mipsology

Zebra Legacy is an all-encompassing synthesizer package created by u-he, featuring the acclaimed Zebra2 synthesizer, its ZebraHZ variant, and an extensive collection of sound sets, including The Dark Zebra, which collectively offers more than 4,300 presets. Renowned for its adaptability, Zebra2 includes four wavetable oscillators, four FM oscillators, and a variety of filters and modulation capabilities, earning it a prominent place among sound designers and composers, especially in the film industry. The ZebraHZ version, which was developed in partnership with composer Hans Zimmer, introduces enhanced functionalities like Diva filters and polyphonic compressors, which significantly improve its sound design potential. This comprehensive suite provides support for multiple formats, including VST2, VST3, AU, AAX, and CLAP, and it is compatible with various operating systems such as macOS, Windows, and Linux. Additionally, it contains NKS-ready presets designed for seamless integration with Native Instruments hardware. Notably, existing users of Zebra2 can upgrade to Zebra Legacy and enjoy all its features without any additional charge, making it an exceptional value for current fans of the software. The extensive library of presets allows for a diverse range of sounds, ensuring that musicians and producers can find inspiration for their projects.

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.