Boost up your Data Science projects by leveraging your HPC resources.
Ryax takes care of HPC's tedious processes and deploys your Data Science onto untapped horizons, fast.
Drop your Data Science workflows to HPC
Ryax enables you to abstract HPC's complexity and harness supercomputing resources for high-performance Data Science effortlessly: no installation on the HPC cluster, no interference on the cluster's normal usage and no change in the Data Science algorithms code required, it's as simple as a drag & drop.
Your key Data Science frameworks, deployed to HPC in a few clicks
Data Scientists need state-of-the-art and ever-changing libraries for their work, but HPC systems are very rigid not allowing easy and frequent modifications. Ryax unlocks this issue by enabling dynamically adaptive (and root-less) environment deployment (supporting Data Science dependencies on HPC).
Interconnect the IT world with HPC, securely
HPC is a world of its own, but its power is invaluable since it can empower Data Science projects for more efficient and accurate executions: with Ryax, ingest any data from any data source, app or external service, offload computations on HPC and deliver it safely where it needs to go.
Benefit from full observability of workflows and executions
Ryax was built with a full-observability mindset, comprising detailed histories for workflow deployments, execution logs, and more. Native timeline views give you opportunities to tweak and optimize treatment chains even further.