Kubeflow

Slash Cloud Costs for Kubernetes Workloads by 80% with Exostellar's Infrastructure Optimizer

Retrieved on: 
Tuesday, March 19, 2024
Organization, Environment, Workflow, Running, Art, SLA, PostgreSQL, DevOps, EKS, Kubeflow, Project Jupyter

SANTA CLARA, Calif., March 19, 2024 /PRNewswire/ -- Cut cloud bills and boost efficiency with Exostellar's Infrastructure Optimizer for Kubernetes, opening for early access today!

Key Points: 
  • SANTA CLARA, Calif., March 19, 2024 /PRNewswire/ -- Cut cloud bills and boost efficiency with Exostellar's Infrastructure Optimizer for Kubernetes, opening for early access today!
  • "Exostellar's solution is a game-changer for running stateful applications on Kubernetes," says Tony Shakib.
  • "Exostellar's Infrastructure Optimizer is a game-changer for organizations running stateful applications on Kubernetes," says Tony Shakib, CEO of Exostellar.
  • Built for DevOps, SysAdmins, and FinOps, this infrastructure optimizer tackles the pain points of managing Kubernetes infrastructure.

Rafay Launches Infrastructure Templates for Generative AI to Help Enterprise Platform Teams Bring AI Applications to Market Faster

Retrieved on: 
Tuesday, November 7, 2023
Software, Technology, Internet, Artificial Intelligence, Cloud, System, Kubeflow, LLM, Tradition, Azure, EKS, SVP, Microsoft, Automation, Documentation, Synthetic media, Slurm Workload Manager, RBAC, Generative, AKS, Multitenancy, Environment, Ben Goertzel, GPU, OpenAI, SLURM, Graphics processing unit, ML, Gartner, Risk management, Video game, Sales, Medical device, Kubernetes, Rafay Baloch, AI

Rafay’s GenAI templates simplify the environment setup for deploying AI applications so platform teams can take the lead in AI development, and empower developers and data scientists to harness the full potential of AI.

Key Points: 
  • Rafay’s GenAI templates simplify the environment setup for deploying AI applications so platform teams can take the lead in AI development, and empower developers and data scientists to harness the full potential of AI.
  • Enterprise platform teams benefit from the following capabilities:
    Self-Service Experience: Developers and data scientists can deploy, view and manage their GenAI applications and infrastructure in isolation using self-service workflows via Rafay and Spotify Backstage.
  • can create and destroy environments (but not templates built by platform teams) and operate them in isolation, governed by RBAC.
  • Support for Traditional AI Platforms: Rafay also supports traditional AI frameworks such as SLURM, KubeFlow and MLflow.

HPE Opens Global Center of Excellence for HPE Ezmeral Software in Greece

Retrieved on: 
Tuesday, May 2, 2023
Data Management, Technology, Other Technology, 5G, Networks, Hardware, MLOps, COE, SQL, Health, Apache Spark, HPE, Telecommunications, TAFE Queensland, Apache Airflow, Apache, Government, Organization, Hewlett Packard Enterprise, Machine learning, Presto, Artificial intelligence, AI, Internet, Transport, NYSE, Apache Superset, Data science, Creative industries, Medical device, Kubeflow, Banquet

“Enterprises across the globe are launching analytics and AI/ML initiatives, but most lack the in-house IT and data science talent to deliver at scale,” said Mohan Rajagopalan, vice president and general manager, HPE Ezmeral Software. “With this new CoE, HPE is strengthening our commitment and investment in the open-source tools and data science talent necessary for customers to operationalize analytics and AI across their enterprise. The new team brings together the most talented group of developers from the Kubeflow community with deep containers and data skillsets -- naturally complementing our Unified Analytics and Data Fabric offerings.”

Key Points: 
  • Hewlett Packard Enterprise (NYSE: HPE) today announced a significant investment to establish new Global Center of Excellence (CoE) for HPE Ezmeral Software in Athens, Greece.
  • This new global CoE will be integrated into the HPE Ezmeral Software business and enhances its global support capabilities for enterprise customers.
  • Greece is a burgeoning global hub of innovation with a dynamic ecosystem of technology companies and is encouraging investment in the technology sector.
  • “We are delighted to establish this new HPE Global Center of Excellence in Greece and take advantage of the available software talent and growing technology ecosystem in the country,” said Michalis Kassimiotis, managing director, HPE Greece & Cyprus.

Sealing Technologies Introduces the GN 7000

Retrieved on: 
Monday, October 3, 2022
Solution, GN, Record, Service-Disabled Veteran-Owned Small Business, Federation, Dynamic Sealing Technologies, Inc., AMD, Time, Running, Technology, Knowledge, TensorFlow, Engineering, Apache Spark, CEO, Multimedia, DCO, Automation, Hypervisor, Apache, A100, TB, NVIDIA, 2020 United States federal government data breach, Machine learning, DPU, Travel, AI, Morpheus, Kubeflow, Medical device, Video game console

COLUMBIA, Md., Oct. 3, 2022 /PRNewswire/ -- Sealing Technologies, Inc. (SealingTech), a Veteran Owned Small Business (VOSB) that provides innovative cybersecurity solutions, introduces the GN 7000.

Key Points: 
  • COLUMBIA, Md., Oct. 3, 2022 /PRNewswire/ -- Sealing Technologies, Inc. (SealingTech), a Veteran Owned Small Business (VOSB) that provides innovative cybersecurity solutions, introduces the GN 7000.
  • SealingTech's GN 7000 analytics node artificial intelligence (AI) and machine learning (ML)edge server is an enhanced version of the standard SN 7000.
  • The GN 7000 provides enterprise AI/ML capabilities in a form factor that allows for Cyber Defenders to easily travel and maintain positive control of potentially sensitive data.
  • The SealingTech GN 7000 has the latest NVIDIA AI GPU, an A100, an NVIDIA BlueField-2 DPU, a 64-core AMD processor, multiple 100Gbps network ports, and up to 128TB of storage.

D2iQ™ Streamlines Smart Cloud-Native Application Deployments with Kaptain AI/ML 2.0

Retrieved on: 
Tuesday, May 10, 2022
CNCF, AKS, Philippine Council of Evangelical Churches, Kubeflow, DKP, Khosla Ventures, CTO, EKS, Microsoft, Organization, Amazon, Artificial intelligence, Helm, Knowledge, Machine learning, Multimedia, Microsoft Azure, Data science, Hewlett Packard Enterprise, Catalog, ML, AI, AWS, Intelligence, Medical device, Video game console, Kubernetes

SAN FRANCISCO, May 10, 2022 /PRNewswire/ -- D2iQ, the leading enterprise Kubernetes provider for smart cloud-native applications, today announced version 2.0 of Kaptain AI/ML, the enterprise-ready distribution of open-source Kubeflow that enables organizations to develop, deploy, and run artificial intelligence (AI) and machine learning (ML) workloads in production environments.

Key Points: 
  • By simplifying the deployment and full lifecycle management of AI and ML workloads at scale, Kaptain AI/ML 2.0 accelerates the impact of smart cloud-native applications.
  • These new capabilities provide more productivity, flexibility, and choice when deploying Kaptain AI/ML in Kubernetes environments.
  • D2iQ accelerates Day 2 success for smart cloud-native applications on enterprise Kubernetes.
  • D2iQ investors include Andreessen Horowitz, Hewlett Packard Enterprise, Khosla Ventures, Koch Disruptive Technologies, Microsoft, and T.Rowe Price Associates, Inc. Find us at http://www.d2iq.com .

Arrikto Launches Kubeflow as a Service Giving Data Scientists Instant Access to a Complete MLOps Platform

Retrieved on: 
Tuesday, May 10, 2022
Workload, Twitter, Metadata, Fortune 500, DevOps, VMware, Organization, Machine learning, Automated machine learning, MLOps, View, IBM, Rakuten, ROI, CEO, SAN, Multimedia, Mobile phone, Kubeflow, Google

SAN MATEO, Calif., May 10, 2022 /PRNewswire/ -- Arrikto, the leader in machine learning on Kubernetes, today announced the availability of their Kubeflow as a Service offering, an on-demand MLOps platform that turns complex machine learning workloads on Kubernetes into a point-and-click operation. With Arrikto's Kubeflow as a Service, data scientists can now gain access to a complete MLOps platform, in just minutes without having to have any special knowledge of the underlying infrastructure.

Key Points: 
  • With Arrikto's Kubeflow as a Service, data scientists can now gain access to a complete MLOps platform, in just minutes without having to have any special knowledge of the underlying infrastructure.
  • To help close these skills and infrastructure management gaps, Arrikto's Kubeflow as a Service abstracts away the complexity of running an MLOps platform on Kubernetes.
  • Kubeflow as a Service comes with a free 14-day trial that makes it easy for both data scientists and DevOps engineers to evaluate Kubeflow as a potential MLOps platform for their organization.
  • Its Enterprise Kubeflow platform helps bring machine learning models to market faster by realizing the MLOps potential of Kubeflow, enabling data scientists to build and deploy machine learning models faster, more efficiently, and securely.

Announcing Kubeflow 1.5: Delivering Simplified Machine Learning Operations and Cost Controls

Retrieved on: 
Thursday, April 14, 2022
TensorFlow, CEO, XGBoost, Automated machine learning, Unified, UI, Fortune 500, Rakuten, Apache MXNet, Twitter, MPI, Leadership, Machine learning, SAN, Student, VMware, IBM, MLOps, Graphics processing unit, Central processing unit, Multimedia, PyTorch, View, Memory, Management, Cryptocurrency, Google, Kubeflow

SAN MATEO, Calif., April 14, 2022 /PRNewswire/ -- Today, Arrikto, the leader in machine learning on Kubernetes, participated in the announcement of Kubeflow 1.5, the latest version of the open source MLOps platform, with contributions from Google, Arrikto, IBM, Twitter and Rakuten, alongside numerous other contributors. Kubeflow 1.5 delivers lower infrastructure costs, and helps simplify the operation of the end-to-end machine learning platform. Originally developed by Google, Kubeflow is a complete MLOps toolkit, including integrated components for model development, model training, multi-step pipelines, AutoML, serving, monitoring, artifact management, and experiment tracking.

Key Points: 
  • Kubeflow 1.5 delivers lower infrastructure costs, and helps simplify the operation of the end-to-end machine learning platform.
  • Running production machine learning workflows at scale is notoriously expensive due to outsized requirements on CPUs, GPUs, storage, and memory.
  • To learn more about Kubeflow 1.5, the Kubeflow project and Arrikto's enterprise-grade distribution of Kubeflow visit: https://www.arrikto.com/
    Arrikto is the leader in machine learning on Kubernetes.
  • Its Enterprise Kubeflow platform helps bring machine learning models to market faster by realizing the MLOps potential of Kubeflow, enabling data scientists to build and deploy machine learning models faster, more efficiently, and securely.

85% of Enterprises Have Yet to Cross the Chasm to Full Kubernetes and Cloud Native Adoption, According to Industry Global Survey from Canonical

Retrieved on: 
Wednesday, June 30, 2021
Cloud computing, Computing, Cloud infrastructure, IT infrastructure, Cloud Native Computing Foundation, Kubernetes, DevOps, Cloud native computing, Mirantis, Kubeflow

The report also includes insights from experts at Amazon, Google, the Cloud Native Computing Foundation, Weaveworks, Cloudbees, and HCL Technologies, whom Canonical brought together to assess the results.

Key Points: 
  • The report also includes insights from experts at Amazon, Google, the Cloud Native Computing Foundation, Weaveworks, Cloudbees, and HCL Technologies, whom Canonical brought together to assess the results.
  • Showing the multi-dimensional nature of todays cloud native technology landscape, the survey found that while 45.6 percent of respondents report using Kubernetes in production, only 15.7 percent use Kubernetes exclusively.
  • Nearly 78 percent of respondents reported at least one hybrid or multi-cloud use case in production in their organization.
  • The top users of Kubernetes and cloud native technologies are SRE/DevOps engineers, followed by infrastructure architects, back-end developers, and full-stack developers.

Statehub Launches Kubernetes Stateful App Mobility Service

Retrieved on: 
Wednesday, June 30, 2021
Cloud computing, Free software, Computing, Cloud infrastructure, Kubernetes, Cloud Native Computing Foundation, Kubeflow

TEL AVIV, Israel, June 30, 2021 /PRNewswire/ -- Statehub (previously known as Replix.io ), the pioneer in stateful Kubernetes management, announced today the launch of a fully managed app mobility platform that enables companies to easily deploy and manage stateful Kubernetes applications.

Key Points: 
  • TEL AVIV, Israel, June 30, 2021 /PRNewswire/ -- Statehub (previously known as Replix.io ), the pioneer in stateful Kubernetes management, announced today the launch of a fully managed app mobility platform that enables companies to easily deploy and manage stateful Kubernetes applications.
  • With Statehub we have created just that experience and leveled the playing field between stateful and stateless Kubernetes deployments."
  • Statehub is disrupting the cloud market by changing the way companies use Kubernetes," said Avi Shillo, Co-founder & CEO of Statehub.
  • Statehub provides a fully managed app mobility platform that enables companies to easily deploy and manage stateful Kubernetes applications by replicating data in real-time across vast geographical locations, making data stateful application mobility quick, flexible, and easy.

Statehub Launches Kubernetes Stateful App Mobility Service

Retrieved on: 
Wednesday, June 30, 2021
Cloud computing, Free software, Computing, Cloud infrastructure, Kubernetes, OpenShift, Kubeflow

Statehub's fully managed app mobility service, in private beta, enables easy deployment and management of stateful Kubernetes applications

Key Points: 
  • Statehub's fully managed app mobility service, in private beta, enables easy deployment and management of stateful Kubernetes applications
    TEL AVIV, Israel, June 30, 2021 /PRNewswire/ -- Statehub (previously known as Replix.io ), the pioneer in stateful Kubernetes management, announced today the launch of a fully managed app mobility platform that enables companies to easily deploy and manage stateful Kubernetes applications.
  • With Statehub we have created just that experience and leveled the playing field between stateful and stateless Kubernetes deployments."
  • Statehub is disrupting the cloud market by changing the way companies use Kubernetes," said Avi Shillo, Co-founder & CEO of Statehub.
  • Statehub provides a fully managed app mobility platform that enables companies to easily deploy and manage stateful Kubernetes applications by replicating data in real-time across vast geographical locations, making data stateful application mobility quick, flexible, and easy.