Code-free AI software platform for edge AI lifecycle
Blaize has unveiled the Blaize AI Studio offering, an open and code-free software platform to span the complete edge AI operational workflow from idea to development, deployment and management. AI Studio dramatically reduces edge AI application deployment complexity, time, and cost by breaking the barriers within existing application development and machine learning operations (MLOps) infrastructure that hinder edge AI deployments.
Eliminating the complexities of integrating disparate tools and workflows, along with the introduction of multiple ease-of-use and intelligence features, AI Studio reduces from months to days the time required to go from models to deployed production applications.
“While AI applications are migrating to the Edge with growth projected to outpace that of the Data Center, Edge AI deployments today are complicated by a lack of tools for application development and MLOps,” said Dinakar Munagala, Co-founder and CEO, Blaize. “AI Studio was born of the insights to this problem gained in our earliest POC edge AI hardware customer engagements, as we recognised the need and opportunity for a new class of AI software platform to address the complete end-to-end edge AI operational workflow.”
“AI Studio is open and highly optimised for the AI development landscape that exists across heterogeneous ecosystems at the edge,” added Dmitry Zakharchenko, VP Research & Development, Blaize. “With the AI automation benefits of a truly modern user experience interface, AI Studio serves the unique needs in customers’ edge use cases for ease of application development, deployment, and management, as well as broad usability by both developers and domain expert non-developers.”
The combination of AI Studio innovations in user interface, use of collaborative Marketplaces, end-to-end application development, and operational management, collectively bridge the operational chasm hindering AI edge ROI. Deployed with the Blaize AI edge computing hardware offerings that address unserved edge hardware needs, AI Studio makes AI more practical and economical for edge use cases where unmet application development and MLOps needs delay the pace of production deployment.
“In our work for clients, which may include developing models for quality inspection within manufacturing, identifying stress markers to improve drug trials or even predicting high resolution depth for autonomous vehicles, it is vital that businesses can build unique AI applications that prove their ideas quickly,” explained Tim Ensor, Director of AI, Cambridge Consultants. “AI Studio offers innovators the means to achieve this confidence in rapid timeframes, which is a really exciting prospect.”
The AI Studio code-free visual interface is intuitive for a broad range of skill levels beyond just AI data scientists, which is a scarce and costly resource for many organisations. ‘Hey Blaize’ summons a contextually intelligent assistant with an expert knowledge-driven recommendation system to guide users through the workflow. This ease of use enables AI edge app development for wider teams from AI developers to system builders to business domain subject matter experts.
With AI Studio, users can deploy models with one click to plug into any workflow across multiple open standards including ONNX, OpenVX, containers, Python, or GStreamer. No other solution offers this degree of open standard deployment support, as most are proprietary solutions that lock in users with limited options. Support for these open standards allows AI Studio to deploy to any hardware that fully supports the standards.
Marketplace support allows users to discover models, data and complete applications from anywhere – public or private – and collaborate continuously to build and deploy high-quality AI applications.
AI Studio supports open public models, data marketplaces and repositories, and provides connectivity and infrastructure to host private marketplaces. Users can continually scale proven AI edge models and vertical AI solutions to effectively reuse across enterprises, choosing from hundreds of models with drag and drop ease to speed application development
The AI Studio model development workflow allows users to easily train and optimise models for specific datasets and use cases, and deploy quickly into multiple formats and packages. With the click of a button, AI Studio’s Transfer Learning feature quickly retrains imported models for the user’s data and use case.
Blaize edge-aware optimisation tool, NetDeploy, automatically optimises the models to the user’s specific accuracy and performance needs. With AI Studio, users can easily build and customise complete application flows other than neural networks, such as image signal processing, tracking or sensor fusion functions.
As a complete end-to-end platform, AI Studio helps users deploy, manage, monitor and continuously improve their edge AI applications. Built on a cloud-native infrastructure based on microservices, containers and Kubernetes, AI Studio is highly scalable and reliable in production.
Blaize AI Studio Early Adopter Customers Results
In smart retail, smart city and industry 4.0 markets, Blaize customers are reportedly realising new levels of efficiency in AI application development and deployment using AI Studio. Examples include:
- Complete end-to-end AI development cycle reduction from months to days.
- Reduction in training compute by as much as 90%.
- Edge-aware efficient optimisations and compression of models with a < 3% accuracy drop.
- New revolutionary contextual conversational interfaces that eclipse visual UI.
AI Studio is available now to qualified early adopter customers, with general availability in Q1 2021. The AI Studio product offering includes licenses for individual seats, enterprise, and on-premise subscriptions, with product features and services suited to the needs of each license type.