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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

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

Zebralette serves as our interpretation of a Trojan horse, offering a free synthesizer that showcases the remarkable oscillators of Zebra2. This enticing introduction might inspire you to explore Zebra2 further and consider an upgrade. If a single oscillator can produce such impressive sounds, envision the possibilities with four oscillators and the array of features that Zebra2 has to offer. Designed to ease you into Zebra2's complex interface, Zebralette simplifies the experience by focusing on just one oscillator along with a handful of essential features, earning it the nickname "the little Zebra." Once you have mastered Zebralette, transitioning to Zebra2 will feel effortless and assured. Notably, your presets from Zebralette can seamlessly transfer to Zebra2, enhancing your workflow. However, Zebralette is not merely a learning aid; it stands out as an exceptional synthesizer in its own right. By surrounding Zebra's spectral oscillator with fundamental modulation options and effects, Zebralette proves to be a powerful tool for sound design and creativity, making it a valuable addition to any musician's toolkit. The versatility it offers can ignite your imagination and push your sonic boundaries.

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 
ZebraCM No 

Integrations

Amazon Web Services (AWS) No 
Caffe No 
TensorFlow No 
ZebraCM 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/zebralette/

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

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