Sold by: CloudNatix
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Accelerating the AI journey for enterprises 10X by providing AI/LLM infrastructure as a service built on optimized K8s.
Overview
CloudNatix offers a comprehensive SaaS platform that simplifies Kubernetes cluster management across cloud and on-premise environments. With patented features like auto-piloting and cluster right scaler, CloudNatix helps businesses reduce costs (>35%) and improve operational efficiency (3X-6X).
To further drive AI adoption among enterprises, CloudNatix provides an LLM Infrastructure as a Service solution. Built on top of years of sophistication of our Kubernetes platform, this enables organizations to quickly train and deploy AI models using open-source options like Llama, all while ensuring data privacy. Our platform works on-prem or any of the major CSPs. CloudNatix is part of Nvidia's inception program. With advanced technologies, we are reducing AI development and operational costs by up to 50%, and dramatically reducing the TTM from several months to a week, CloudNatix empowers organizations to innovate faster and achieve greater ROI.
The CloudNatix platform monitors infrastructure utilization, and automates optimization, across single and multiple Cloud providers. Our enterprise-grade solution (including HA, monitoring etc.) delivers a level of DevOps automation only seen in hyperscale tech companies for their internal operations. Using this platform, our customers have been able to reduce infrastructure spend by as much as 50%. At the same time, with a single management pane, Developer and DevOps teams can manage legacy and container / microservice-based applications in a more cohesive and scalable fashion.
Key capabilities and benefits of CloudNatix platform include:
Get up and running with a one stop AI infrastructure in your VPC in minutes
- Benefit: Minimize GPU spend and unmatched cost efficiency Streamline AI/ML training, fine-tuning, and inference across any cloud or on-prem A single management pane scaling to thousands of clusters across several clouds
Serve from any open source model using OpenAI compatible APIs
- Benefits: No changes to AI applications Use the models that give you the best performance.
Cluster Controller for Connecting to any K8s or VM environment - CloudNatix Cluster Controllers supports AWS, Azure, GCP, EKS, AKS, GKE, vSphere as well as any existing K8s clusters
- Benefit: Integrate and Manage your Multi-K8s and Multi-Cloud footprint across disparate compute environments in minutes.
CloudNatix Dashboard to Observe your Global Cost, Efficiency & Operations
- Benefit: View and Govern spend, efficiency & operations across multiple K8s and VM clusters. Unified financial ops, access management and governance using Logical Orgs and Namespaces across multiple clusters.
CloudNatix Insights for Understanding optimization opportunities with actionable recommendations
- Benefit: ML Powered recommendations that Automates Capacity Planning and Cost optimization for Legacy and Cloud Native (K8s) Workloads using a variety of techniques such as: (1) VM Right-Sizing (2) Automated Continuous K8s Pod Right-Sizing (3) K8s Cluster Right-Scaling (4) Automated Spot fleet re-balancing (5) Automated idle capacity harvesting
CloudNatix Autopilot for continuous, automated capacity & cost optimization
- Benefit: -- Reduce cost and improve MTTR with human-in-the-loop impact analysis of ML Insights. -- Maximize cost savings and SLO with continuous Autopilot of Virtual Machines, Kubernetes Pods and Clusters
CloudNatix Operations Manager for increasing DevOps productivity via federation and automation
- Benefit: -- Reduce MTTR while Operating across multiple K8s and VM Clusters in a unified way leveraging machine generated insights. -- Improve DevOps productivity w.Unified Access, Security, Quota, Budget Management across multiple clusters with Federated -- Logical Orgs and Projects that span multiple clusters. -- Unified access plane that consolidates connectivity, authentication, authorization and audit across a diverse fleet into a single platform. Some of the benefits are easy access to Console or Logs of any Pod across any cluster using a single click - helping you find needles in a haystack of pods.
For custom pricing, EULA, or a private contract, please contact contact@cloudnatix.com , for a private offer.
Highlights
- Get up and running with a comprehensive AI infrastructure (training, fine-tuning and inference) set up in your VPC in under 10 minutes.
- Understand your global cost, efficiency and operations with a 5 minute set-up. Continuously optimize capacity, cost and availability using CloudNatix Autopilot
- Improve hybrid cloud management using a single CloudNatix management pane, that consolidates connectivity, authentication, authorization and audit log across a diverse fleet of clusters.
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Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
CN for Kubernetes (10) | Annual subscription,usage based,commitment and volume discounts apply | $379.60 |
CN for Kubernetes (1000) | Annual subscription,usage based,commitment and volume discounts apply | $32,266.00 |
CN for VMs (10) | Annual subscription,usage based,commitment and volume discounts apply | $109.50 |
CN for VMs (1000) | Annual subscription,usage based,commitment and volume discounts apply | $9,307.50 |
Dimension | Cost/unit |
|---|---|
Price per CPU Core hour for K8s CPU cores under management | $0.052 |
Price per CPU Core hour for VM CPU cores under management | $0.015 |
Dimensions summary
This platform bills by the CPU core hour, split between two workload types: Kubernetes cores and virtual machine (VM) cores under management. You pay separately based on how many cores of each type you run. The annual subscription options group into Kubernetes plans and VM plans, each offered at 10-core and 1000-core commitment levels. Pricing is usage-based, so charges scale with the cores you manage. Larger commitment levels unlock volume discounts. You can combine Kubernetes and VM dimensions to match your mix of container and virtual machine infrastructure.
Top-of-mind questions for buyers
A CPU core hour is one CPU core managed by the platform for one hour. The platform meters each core under management, whether it belongs to a Kubernetes cluster or a virtual machine. Kubernetes cores and VM cores are counted separately, each priced by its own per-core-hour rate.
Both dimensions bill independently and appear on the same invoice. Your Kubernetes core hours and VM core hours each accrue at their own rate. The one that dominates depends on your mix. If you run mostly containerized workloads, Kubernetes core hours drive most of the cost; VM-heavy environments shift cost toward VM core hours.
Billing meters cores under management by the hour. The platform can auto-shutdown virtual machines when they are not needed and restart them later. When a VM is powered off, it is not actively managed, so it does not accrue per-core-hour charges during that time.
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Support Website - https://www.cloudnatix.com/support CloudNatix Support team
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