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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

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.

Description

ZebraCM is a more compact variant of Zebra2, featuring a curated selection of modules arranged in a straightforward layout. Despite its smaller size, ZebraCM proves to be a capable synthesizer, packed with sufficient functionality to engage users before they transition to the full capabilities of Zebra2. This version was specifically created for the readers of Computer Music magazine. It includes two wavetable oscillators, each containing 16 different waveforms, along with integrated sync and spectral filtering options. Users can take advantage of up to 16 voices, with modes available for duophonic, monophonic, and legato play. The synthesizer also features noise types such as white, pink, digital, and crackles. Additionally, it boasts 20 different modes that cover an array of filter types, including lowpass, bandpass, notch, shelf, and all-pass. For modulation, ZebraCM offers three LFOs and two ADSR envelopes that include rise and fall sustain controls. Effects like chorus, delay, and reverb are also incorporated, enhancing its sound design capabilities. The user interface is both resizable and skinnable, adjustable between 70% and 200% of its original size, allowing for personalized workspace arrangements. Furthermore, ZebraCM comes with a generous collection of 221 factory presets, giving users a solid foundation to explore its sonic possibilities.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 
Caffe Yes 
TensorFlow Yes 
Zebralette No 

Integrations

Amazon Web Services (AWS) No 
Caffe No 
TensorFlow No 
Zebralette Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Mipsology

Country

United States

Website

mipsology.com

Vendor Details

Company Name

u-he

Founded

2001

Country

Germany

Website

u-he.com/products/zebracm/

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

Product Features

Alternatives

Alternatives

Podolski Reviews

Podolski

u-he
Neural Designer Reviews

Neural Designer

Artelnics