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Average Ratings 0 Ratings
Description
MJUC stands out as Klanghelm's most ambitious plugin to date, with nearly two years dedicated to thorough research and development efforts. This extensive process involved analyzing every variable-mu implementation available to ensure that the essence of tube compression was encapsulated within a single processor. To honor the rich diversity of compression topologies, three distinct models have been designed, each offering a unique glimpse into the evolution of tube compression through the ages. Each model features its own dedicated signal path and control set, allowing for tailored manipulation of sound. For those looking to refine their audio further, the unique TIMBRE and DRIVE knobs provide options to adjust the overall tone and saturation for each model, where DRIVE influences both the input and output transformers as well as the saturation levels of the tube gain stages. The TIMBRE knob adds an additional layer of versatility, allowing MJUC to function effectively as a tone shaper. This thoughtful design makes it an invaluable tool for any audio engineer seeking rich, dynamic sound profiles.
Description
NetsPresso serves as an advanced platform for optimizing AI models with a strong focus on hardware awareness. It facilitates on-device AI applications across various sectors, making it an essential tool for developing hardware-aware AI models. The incorporation of lightweight models like LLaMA and Vicuna allows for highly efficient text generation capabilities. Additionally, BK-SDM represents a streamlined version of Stable Diffusion models. Vision-Language Models (VLMs) effectively merge visual information with natural language processing. By addressing challenges associated with cloud and server-based AI solutions—such as limited connectivity, high expenses, and privacy concerns—NetsPresso stands out in the field. Furthermore, it operates as an automated model compression platform, effectively reducing the size of computer vision models to ensure they can function independently on smaller and less powerful edge devices. By optimizing target models through various compression techniques, the platform successfully minimizes AI models while maintaining their performance integrity. This dual focus on efficiency and effectiveness positions NetsPresso as a leader in the field of AI optimization.
API Access
Has API
API Access
Has API
Integrations
Arduino IDE
Arm MAP
Intel SceneScape
LaunchX
MQX RTOS
NVIDIA AI Enterprise
Python
Qualcomm AI Hub
Raspberry Pi OS
Integrations
Arduino IDE
Arm MAP
Intel SceneScape
LaunchX
MQX RTOS
NVIDIA AI Enterprise
Python
Qualcomm AI Hub
Raspberry Pi OS
Pricing Details
€24 one-time payment
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Klanghelm
Founded
2011
Country
Germany
Website
klanghelm.com/contents/products/MJUC.html
Vendor Details
Company Name
Nota AI
Founded
2015
Country
South Korea
Website
www.nota.ai/netspresso