Sold by: SiMa Technologies
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Palette Edgematic is a no code, graphical user interface SaaS solution for creating and deploying edge ML pipelines on SiMa.ai's Machine Learning system on Chip (MLSoC) platform. The solution features a library of precompiled ML models to quickly get accustomed to the MLSoC's capabilities and provides for entire ML pipelines to be processed on multiple embedded processors with a simplified interface.
Overview
Palette Edgematic transforms the ML developer's user experience in creating and analyzing edge ML pipelines using a drag and drop approach. Palette software then builds an execution pipeline with the click of a button that efficiently targets the MLSoC heterogeneous architecture. Edgematic Graphical User interface (GUI) provides a no code methodology for creating edge ML designs. The Palette core software can then build and deploy this resulting code to a remotely accessible edge ML client device or to a local device.
Palette Edgematic Canvas
SiMa.ai changes the entire approach to effortless ML edge development by delivering a no code, visual programming tool with Palette Edgematic. Using a canvas to graphically drag and drop models and processing elements provides a developer with a methodology to create a computer vision pipeline in minutes. Using this Evaluator Edition, Edgematic users evaluate the extensive SiMa library of ML models and application pipelines with push button compilation and deployment capability. The pipelines are built using the Model Library and pre and post processing plug-ins from the catalog in the associated window in the Edgematic Canvas. This no code capability extends to plug-ins for data sources and syncs to run data sets through actual edge devices, evaluating their KPIs, and then modifying and iterating these pipelines without detailed embedded programming.
Model Library
Palette Edgematic provides a reference library of models targeting common ML network models that are quantized, compiled, and optimized by the Edgematic compiler. Users can execute over 100 different models covering object detection, tracking, and classification, then evaluate their Key Performance Indicators (KPIs) in minutes on actual silicon.
Highlights
- ML Edge Development in a no code/low code platform
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Pricing
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Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
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Dimension | Description | Cost/month |
|---|---|---|
Palette Edgematic | GUI based no-code development tool for migrating ML pipelines | $200.00 |
Dimension | Description | Cost/unit |
|---|---|---|
additional_req | Additional running allocation requests | $0.10 |
Dimensions summary
This contract-based listing has two dimensions. The Palette Edgematic dimension gives you the core no-code development tool for migrating machine learning pipelines to edge hardware. The additional running allocation requests dimension is an add-on you purchase on top of that base tool. It lets you increase how many running allocation requests you can make. Pricing scales as you add these extra requests to your contract. You buy the base tool first, then add allocation capacity based on your workload needs.
Top-of-mind questions for buyers
It is a no-code, graphical development tool for migrating machine learning pipelines to edge hardware. You compile models, then build and deploy them to edge devices without manual coding. The environment handles model conversion, optimization, and packaging so you move from a trained model to a running edge application.
A running allocation request is a unit of running capacity you reserve on top of the base tool. Each additional request raises how many concurrent running allocations you can hold. You count them by the number of extra requests you add to your contract, and cost scales with that quantity.
Both charges apply on the same contract. The Palette Edgematic base tool is a required starting charge. The additional running allocation requests add on top of it. The base tool sets your floor cost. Your allocation request quantity then drives how the total scales with workload demand.
www.sima.ai
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Delivery details
Software as a Service (SaaS)
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Resources
Vendor resources
Support
Vendor support
SiMa will be happy to address any issues encountered using Edgematic.
help@sima.ai
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