Blaize AI Studio Debuts
Blaize AI Studio offering is 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.
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 organizations. “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
The AI Studio model development workflow allows users to easily train and
optimize models for specific datasets and use cases, and deploy quickly into
multiple formats and packages. With the click of a button, AI Studio’s unique
Transfer Learning feature quickly retrains imported models for the user’s data
and use case. Blaize edge-aware optimization tool, NetDeploy, automatically
optimizes the models to the user’s specific accuracy and performance needs. With
AI Studio, users can easily build and customize complete application flows other
than neural networks, such as image signal processing, tracking or sensor fusion
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.
In smart retail, smart city and industry 4.0 markets, Blaize customers are realizing new levels of efficiency in AI application development and deployment using AI Studio.
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.