![](https://granulate.io/wp-content/uploads/2024/01/image-24.png)
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Cut costs by up to 30%
Why Intel Granulate?
Lower capacity and cost through dynamic resource allocation.
No more manual monitoring and tuning by data engineering teams.
Faster processing within days of activation – no ongoing maintenance required.
Reduce the resources needed to complete data jobs.
Held to the high security standards of Intel and SOC2 certified.
Avoid high compute costs post-migration and reduce waste.
Intel IT Reduces CPU Utilization on Cloudera by 44% With Intel Granulate
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44%Reduction In CPU Utilization
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25%Memory Reduction
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1000+Unique Jobs Optimized
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1Week to results
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44%Reduction In CPU Utilization
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25%Memory Reduction
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1000+Unique Jobs Optimized
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1Week to results
Where does it work?
01. On-Prem
01. On-Prem
Optimizes highly secure infrastructures ideal for healthcare, financial and public sectors.
![](https://granulate.io/wp-content/uploads/2024/01/Rectangle-21331.png)
02. Hybrid & multi-cloud
02. Hybrid & multi-cloud
Delivers value on all major CSPs; bare-metal, VMs, containerized or any combination thereof, all in one platform.
![](https://granulate.io/wp-content/uploads/2024/01/Rectangle-21332.png)
03. Lift & shift
03. Lift & shift
Ideal for waste-free migrations to all major data platforms on the cloud, including Databricks, EMR, Dataproc, HDInsight and more.
![](https://granulate.io/wp-content/uploads/2024/01/Rectangle-21333.png)
How does it work?
Autonomous Runtime Optimization
With unique Java optimization capabilities, you can improve your Cloudera infrastructure’s performance, allowing data teams to run more jobs concurrently and increase throughput.
![](https://granulate.io/wp-content/uploads/2024/01/Throughput-_UI.png)
Dynamic Resource Allocation
By autonomously tuning big data workloads at scale, you’ll reduce costs for data management, processing, analytics and machine learning workloads.
![](https://granulate.io/wp-content/uploads/2024/01/Cost-Reduction_UI.png)
![](https://granulate.io/wp-content/uploads/2024/01/AICA.png)
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