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Description
Altair® Grid Engine stands out as a premier distributed resource management system that effectively streamlines workloads and resource allocation across numerous data centers, significantly boosting performance, productivity, and overall efficiency. By optimizing application throughput and resource performance, it enables organizations to enhance their return on investment and achieve results more swiftly, all while maximizing the use of shared computing resources across on-premises, hybrid, and cloud environments. Among its notable features is advanced GPU support, which ensures optimal utilization of GPU resources both locally and in cloud settings, along with cloud-optimized capabilities that facilitate seamless deployment and scaling of dedicated and hybrid high-performance computing clusters. The system is also recognized for its proven scalability, maintaining high performance even in clusters with over a million cores or virtual CPUs. Furthermore, Altair® Grid Engine provides robust monitoring and reporting tools that allow users to effectively track resource consumption, coupled with license-aware scheduling designed to efficiently manage and share costly application licenses, ensuring organizations can fully leverage their investments in technology. This comprehensive approach makes it an indispensable tool for organizations seeking to maximize their computational efficiency.
Description
Zipher is an innovative optimization platform that autonomously enhances the performance and cost-effectiveness of workloads on Databricks by removing the need for manual tuning and resource management, all while making real-time adjustments to clusters. Utilizing advanced proprietary machine learning algorithms, Zipher features a unique Spark-aware scaler that actively learns from and profiles workloads to determine the best resource allocations, optimize configurations for each job execution, and fine-tune various settings such as hardware, Spark configurations, and availability zones, thereby maximizing operational efficiency and minimizing waste. The platform continuously tracks changing workloads to modify configurations, refine scheduling, and distribute shared compute resources effectively to adhere to service level agreements (SLAs), while also offering comprehensive cost insights that dissect expenses related to Databricks and cloud services, enabling teams to pinpoint significant cost influencers. Furthermore, Zipher ensures smooth integration with major cloud providers like AWS, Azure, and Google Cloud, and is compatible with popular orchestration and infrastructure-as-code (IaC) tools, making it a versatile solution for various cloud environments. Its ability to adaptively respond to workload changes sets Zipher apart as a crucial tool for organizations striving to optimize their cloud operations.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Apache Airflow
Azure Data Factory
Databricks
Google Cloud Platform
Microsoft Azure
Slack
Terraform
dbt
Integrations
Amazon Web Services (AWS)
Apache Airflow
Azure Data Factory
Databricks
Google Cloud Platform
Microsoft Azure
Slack
Terraform
dbt
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Altair
Country
United States
Website
altair.com/grid-engine
Vendor Details
Company Name
Zipher
Founded
2023
Country
United States
Website
zipher.cloud/
