CIQ Completes Testing of Popular Machine Learning Frameworks Utilities and Libraries for Artificial Intelligence
CIQ, the company building innovation with Rocky Linux unveiled new capabilities of software subscriptions available in the CIQ Mountain offering. CIQ tested popular machine learning frameworks TensorFlow and PyTorch as well as other artificial intelligence utilities and libraries including Jupyter notebooks to ensure execution on top of the HPC software stacks. The newly tested capabilities expand the set of key applications and functions compatible with the HPC subscriptions .
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“We are demonstrating that the HPC software infrastructure fits the range of workloads from classic HPC simulations to the newer AI use cases. This is especially valuable to support the rapid rise of blended workflows where classic HPC and AI work in conjunction,” says Brock Taylor, vice president of high performance computing and strategic partners at CIQ.
Additionally, CIQ has also worked with Intel to provide optimized AI tools for Intel architectures, including the toolsets noted above. This joint effort will promote using these tools in cloud deployments and also in conjunction with the CIQ HPC software stacks available as subscriptions in CIQ Mountain.
Taylor continued, “the collaboration with Intel also allows us to provide optimizations that Intel has made under the hood as a value-add service. This partnership fits perfectly with the CIQ mantra to empower people.”
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CIQ Mountain is a global repository that provides software and artifact delivery and lifecycle management for turnkey solutions at any scale and across different infrastructure types, both on premises and in the cloud. All assets in the Mountain repository are certified, tested and backed by enterprise-level support from CIQ experts. The offering launched in May with a set of certified and supported assets and turnkey solutions such as Rocky Linux images, verifiable packages, containers, individual applications and microservices with their associated configurations.
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