Nvidia today announced it has agreed to acquire Run:ai, a Kubernetes-based workload management and orchestration software provider. Terms were not released but TechCrunch reported the price of the acquisition was approximately $700 million, according to sources.
RAVEL Announces Orchestrate GenAI Software and Support for AMD GPU Accelerators
April 4, 2024 by Leave a Comment
Seattle – April 4, 2024 – RAVEL Inc (formerly StratusCore) today announced the release of RAVEL Orchestrate GenAI, built to provide IT and DevOps administrators with a single-screen interface for managing the assembly and deployment of complex content creation and generative AI environments across teams and pipelines, whether local or remote. RAVEL is also working […]
Granulate to Launch Free Autonomous Kubernetes Cost Optimization
August 15, 2022 by
Tel Aviv August 11, 2022- Granulate, an Intel company, developer of autonomous workload optimization solutions, announced the upcoming launch of a free cost-reduction solution, gMaestro, a workload and pod rightsizing tool for Kubernetes cost optimization. The offering provides DevOps, SREs, and FinOps teams full visibility into their K8s clusters allowing them to eliminate over-provisioning and […]
Agnostiq Launches Orchestration Platform for Quantum and HPC
January 26, 2022 by
Toronto — January 26, 2022 — Agnostiq, Inc., a quantum computing SaaS startup, announced Covalent, an open-source workflow orchestration platform designed specifically for quantum computing and HPC technologies. Covalent aims to make quantum and high performance computing resources more accessible. “Covalent started out as an internal tool for our quantum algorithm research team.” says Agnostiq’s head […]
LLNL, IBM and Red Hat to Explore Standardized Resource Management Interface for Cloud HPC
April 28, 2021 by
Lawrence Livermore National Laboratory (LLNL), IBM and Red Hat are combining to develop best practices for interfacing high-performance computing (HPC) schedulers and cloud orchestrators, an effort designed for supercomputers that take advantage of cloud technologies. Under a recently signed memorandum of understanding (MOU), the organizations said researchers aim to enable next-generation workloads by integrating LLNL’s […]
