Related Products
|
||||||
About
Exostellar is a self-managed AI infrastructure orchestration platform built to simplify how enterprises run heterogeneous CPU and GPU environments. It intelligently handles scaling, scheduling, and optimization so AI developers and IT teams don’t have to manage infrastructure complexity manually. Exostellar unifies orchestration, optimization, and scalability into a single adaptive layer designed for hybrid and multi-cloud environments. The platform supports advanced CPU and GPU resource management, including just-in-time provisioning and AI-assisted scheduling. With autonomous right-sizing and smart workload tuning, Exostellar helps organizations maximize infrastructure utilization. It is vendor-agnostic and avoids lock-in, giving teams full control across clusters and clouds. By boosting efficiency and reducing costs, Exostellar significantly improves ROI for enterprise AI infrastructure.
|
About
Zipher is an autonomous optimization platform specifically designed to improve the performance and cost efficiency of Databricks workloads by eliminating manual tuning and resource management and continuously adjusting clusters in real time. It uses proprietary machine learning models and the only Spark-aware scaler that actively learns and profiles workloads to adjust cluster resources, select optimal configurations for every job run, and dynamically tune settings like hardware, Spark configs, and availability zones to maximize efficiency and cut waste. Zipher continuously monitors evolving workloads to adapt configurations, optimize scheduling, and allocate shared compute resources to meet SLAs, while providing detailed cost visibility that breaks down Databricks and cloud provider costs so teams can identify key cost drivers. It integrates seamlessly with major cloud service providers including AWS, Azure, and Google Cloud and works with common orchestration and IaC tools.
|
|||||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||||
Audience
Exostellar is ideal for enterprise AI infrastructure teams, ML engineers, platform engineers, and FinOps leaders managing large-scale CPU and GPU workloads across hybrid and multi-cloud environments
|
Audience
Data engineering and cloud infrastructure teams who run Databricks workloads and want to automate performance tuning and cost optimization with minimal manual effort
|
|||||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||||
API
Offers API
|
API
Offers API
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Free Trial
|
Pricing
No information available.
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationExostellar
Founded: 2019
United States
exostellar.io
|
Company InformationZipher
Founded: 2023
United States
zipher.cloud/
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
Integrations
Amazon Web Services (AWS)
Apache Airflow
Azure Data Factory
Databricks Data Intelligence Platform
Google Cloud Platform
Microsoft Azure
Slack
Terraform
dbt
|
Integrations
Amazon Web Services (AWS)
Apache Airflow
Azure Data Factory
Databricks Data Intelligence Platform
Google Cloud Platform
Microsoft Azure
Slack
Terraform
dbt
|
|||||
|
|
|