matlab online server™ lets you host matlab online™ on-premises or in your cloud environment. with matlab online, your users can run matlab® from their web browsers without downloading, installing, or configuring desktop software on their own computers.
matlab online server uses a microservice architecture that supports both horizontal and vertical scaling based on your hardware configuration. to ensure efficient resource usage, you can configure your hardware to account for variable or infrequent matlab usage. the server integrates with your existing network file system and authentication services.
matlab online provides access to the full matlab programming language and desktop environment, as well as to matlab add-on products.
get instant access to matlab
access matlab without any downloads or installations—just sign in with your organizational credentials to get started. use matlab on-the-go, in group settings like conference rooms, and on chromebook™ notebook computers.
co-locate matlab with data
perform in-place analysis of data and eliminate overhead associated with downloading large datasets. preserve data integrity and ensure alignment with data governance principles by complying with organizational requirements on data export and other industry-standard regulations.
install on-premises or in the cloud
install and host matlab online server on-premises, including air-gapped scenarios, or cloud environments on virtual or bare-metal infrastructure. centrally manage versions of matlab and add-on products.
integrate with your infrastructure
define user access by integrating with your identity management systems through ldap or saml. specify storage profiles on your nfs drives or persistent volumes to provide per-user storage, shared storage, or a combination of the two.
provide differentiated access to resources
configure matlab online server to provide access to high-performance instances with resources like gpus. create multiple resource pools to provide flexibility in versions of matlab and hardware capabilities.
acceleration and deployment
speed up your code by using gpu and multicore processors for supported functions. use matlab coder™ to generate standalone ansi-compliant c/c code from functions in wavelet toolbox™ that have been enabled to support c/c code generation. generate optimized cuda® code to run on nvidia® gpus for supported functions.