Compute Sample Clauses

Compute. You and Your Users will receive a designated level of Compute to accommodate the number of Users included under Your paid subscription. You may choose to upgrade the level of Compute You have at any time by following the steps set forth in Section 2(H)(2) below. You cannot decrease Your Compute until the end of the current paid subscription term.
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Compute. Ai h ( h ( IDi ), h ( PW i , r )), Bi h (TID i , X k ) † h ( PW i , r ), Ci h ( IDi , X k ) † h ( h ( IDi ) † h ( PW i , r )). Store TIXx Xxxoses IDi
Compute. Compute is provided via Kubernetes, a powerful and mature Linux container management system. This is setup, provisioned and configured by the following project: h ttps://xxxxxx.xxx/xxxxx-xxxxxxxxx/xxxxxxxxx-x0x This provides resources and compute required to run the execution and search framework. This project also bootstraps the kubernetes cluster with internal networking, service discovery and a bastion for deployments
Compute. Re g i h ( DID i , PWR i ), SNj Stores{IDSX x , Pj , Sran}
Compute ability to run virtual machine(s) on a cluster of Faction supported hypervisors; provided the Customer has provisioned with sufficient resources and are configured in a redundant failover manner; replacement of failed computer hardware within 4 hours of detection.
Compute. Clock speed of the proposed VM’s to should be of latest generation CPU processor with 2.4GHz clock speed. The VMs shall support 64- bit operations.
Compute. To be announced.
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Compute. Because Your, and every Customer’s, workloads and processes are different, it is impossible for Actian to predict the amount of AU-Hours You will need when using the Services. Actian encourages You, and You have had the opportunity, to try Your typical workloads in the Services before committing to use the Services in production or for commercial purposes long-term. Actian’s measurement of Your use of the Servies is the definitive measurement, for all purposes under this Agreement.
Compute. Compute allows to define a node allocation strategy for a workload, depending on an optimization criterion, such as execution time, cost or even reproducibility. These strategies rely on the definition of the workload to study (list of jobs with their characteristics in terms of node, CPU, RAM, execution time) to estimate the global cost of running it on a target platform. Current implemented strategies are:
Compute. Re g i = h ( DID i , PWR i ), b.P = PS ⊕ S . PWR = h ( PW , r ) x x x xxx
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