Federator.ai GPU Booster^® and Federator.ai^®
AI-Powered Resource Optimization for GPU and MultiCloud Operations

Full-stack visibility, resilient operations, ESG-friendly, and continuous optimization

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Operation Simplicity

Offers a holistic view of available and used compute resources, combined with workload-pattern-aware insights, to enable efficient resource planning

Performance Resilience

Uses patented AI-based analytics to predict workload dynamics, accelerating applications with Just-in-Time Fitted compute resources as needed

Resource Efficiency

Tackles MultiTenant application workloads with ingenious resource configuration, maximizing resource efficiency while reducing carbon emissions

Holistic Visibility, Application-Aware Insights, and Multi-Layer Correlation Understanding

Federator.ai GPU Booster

Federator.ai

Maximizing GPU utilization for AI workloads and reducing training execution time by half to achieve efficiency and ESG goals

Simplifying the complexity of resource management and continuously optimizing operational costs and performance

Holistic Visibility, Application-Aware Insights, and Multi-Layer Correlation Understanding

Federator.ai GPU Booster

Maximizing GPU utilization for AI workloads and reducing training execution time by half to achieve efficiency and ESG goals

Federator.ai

Simplifying the complexity of resource management and continuously optimizing operational costs and performance

Testimonials

Chris Wright

CTO of Red Hat

An example of a partner who is doing incredible work in the AIOps space is ProphetStor.

Their solutions are being built on OpenShift and enhance its scaling and scheduling capabilities.

ProphetStor and AIOps help operation teams predict and optimize workloads and resources in your cluster.

Cody Richard

Global Partner Solutions Architect, Red Hat

Red Hat has put countless hours into curating our partner ecosystem and this includes Cloud Cost Management companies to help our customers manage their day 2 operations and onward.

Companies like ProphetStor run on our Red Hat OpenShift Container Platform to provide performance, cost and efficiency management at the workload level.

Orange

Willem Berroubache

Cloud and Security Engineer at Orange

Federator.ai can be easily installed on our Kubernetes clusters at Orange. Using Federator.ai, we now have the predictability of our workloads and clear visibility of the resource requirements for each of our applications.

Orange

Frédéric Klein

Manager of Cloud Department at Orange

Federator.ai's value propositions are quite compelling for any enterprise wanting to enhance efficiency and lower costs of their cloud operations (private, public, or hybrid).

Datadog

Ilan Rabinovitch

VP of Product and Community at Datadog

ProphetStor has combined Federator.ai's machine learning capabilities with Datadog's full stack monitoring data to simplify management of Kubernetes at scale.

Sysdig

Phil Williams

VP of Corporate Development & Alliances

Organizations are moving to containers and Kubernetes to ship cloud applications faster. However, the dynamic nature of these environments can lead gaps in visibility, which leads to poor resource planning.

By integrating metrics collected by Sysdig, ProphetStor can help make organizations operating Kubernetes-based environments more efficient and cost-effective.

Shasta Ho

CEO of Nextlink

ProphetStor helps customers have a smooth journey without worrying about the complexity, cost, and support of application resilience. Federator.ai solves the seemingly contradicting objectives, and we can develop solutions based on ProphetStor’s advanced Federator.ai platform to add value to our services further.

Philip Roberts

CEO of Cloudshape

Not Just Cloud Cost Saving, Application Residence! Federator.ai is the only solution that takes care of saving the cloud cost and ensuring application resilience at the same time.

Chung-Shuo Lin, managing director of Chunghwa Telecom, says Federator.ai provides operation resilience, operation reduction and Green IT.

Chung-Shuo Lin

Managing Director of Chunghwa Telecom Cloud System Department

Using Federator.ai’s ML-based resource recommendation engine allows us to provision our VM resources for operation resilience more accurately. Its benefits of reducing operational costs while making progress toward a low-carbon IT infrastructure at the same time.

We are also deploying Fedearator.ai to help our MSP business in helping our end users save their cloud spend and deliver our value-added services with automation and optimization for customers’ cloud operations.

Testimonials

Chris Wright

CTO of Red Hat

An example of a partner who is doing incredible work in the AIOps space is ProphetStor.

Their solutions are being built on OpenShift and enhance its scaling and scheduling capabilities.

ProphetStor and AIOps help operation teams predict and optimize workloads and resources in your cluster.

Orange

Willem Berroubache

Cloud and Security Engineer at Orange

Federator.ai can be easily installed on our Kubernetes clusters at Orange. Using Federator.ai, we now have the predictability of our workloads and clear visibility of the resource requirements for each of our applications.

Datadog

Ilan Rabinovitch

VP of Product and Community at Datadog

ProphetStor has combined Federator.ai's machine learning capabilities with Datadog's full stack monitoring data to simplify management of Kubernetes at scale.

Shasta Ho

CEO of Nextlink

ProphetStor helps customers have a smooth journey without worrying about the complexity, cost, and support of application resilience. Federator.ai solves the seemingly contradicting objectives, and we can develop solutions based on ProphetStor’s advanced Federator.ai platform to add value to our services further.

Chung-Shuo Lin, managing director of Chunghwa Telecom, says Federator.ai provides operation resilience, operation reduction and Green IT.

Chung-Shuo Lin

Managing Director of Chunghwa Telecom Cloud System Department

Using Federator.ai’s ML-based resource recommendation engine allows us to provision our VM resources for operation resilience more accurately. Its benefits of reducing operational costs while making progress toward a low-carbon IT infrastructure at the same time.

We are also deploying Fedearator.ai to help our MSP business in helping our end users save their cloud spend and deliver our value-added services with automation and optimization for customers’ cloud operations.

Cody Richard

Global Partner Solutions Architect, Red Hat

Red Hat has put countless hours into curating our partner ecosystem and this includes Cloud Cost Management companies to help our customers manage their day 2 operations and onward.

Companies like ProphetStor run on our Red Hat OpenShift Container Platform to provide performance, cost and efficiency management at the workload level.

Orange

Frédéric Klein

Manager of Cloud Department at Orange

Federator.ai's value propositions are quite compelling for any enterprise wanting to enhance efficiency and lower costs of their cloud operations (private, public, or hybrid).

Sysdig

Phil Williams

VP of Corporate Development & Alliances

Organizations are moving to containers and Kubernetes to ship cloud applications faster. However, the dynamic nature of these environments can lead gaps in visibility, which leads to poor resource planning.

By integrating metrics collected by Sysdig, ProphetStor can help make organizations operating Kubernetes-based environments more efficient and cost-effective.

Philip Roberts

CEO of Cloudshape

Not Just Cloud Cost Saving, Application Residence! Federator.ai is the only solution that takes care of saving the cloud cost and ensuring application resilience at the same time.

Testimonials

Technology Highlights

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AI-Driven Data Center Cooling Solutions: Google vs. ProphetStor

ProphetStor integrates AI-driven, application-aware resource management with smart liquid cooling to cut waste, boost performance, and achieve ESG.

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AI-Defined Data Center: A unified, intelligent system with V-VOG Capabilities

Explore how AI-driven automation transforms traditional data centers into AI-Defined Data Centers (ADDCs), optimizing efficiency, scalability, and sustainability.

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The Critical Role of Dynamic GPU Allocation in LLM Training

Discover how our technology and Kubernetes enhance efficiency, reduce costs, and promote sustainability through dynamic GPU resource allocation.

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