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TECHFOCUZ HPC RENDER FARM

Techfocuz HPC Render farm is a high performance, multi-application rendering farm management solution.

Techfocuz HPC Render Farm was designed to handle a large number of jobs in the most efficient way. HPC Render Farm is regularly tested with millions of jobs.Techfocuz HPC Render Farm provide low latency, high throughput design, coupled with low network overhead, make it the best choice for large rendering farms with hundreds of rendering nodes.

Heterogeneous Hardware Platform

Techfocuz HPC Render farms are Linux based render farms . Techfocuz HPC Render farm also supports hyperthreading, dual-processor machines, and 64-bit machines for those who are looking for the extra performance edge.

Techfocuz HPC Render farm on Linux works on architecures like IBM Openpower, IBM i Series and P series and Intel Architecture.

Multi-Application Support

Techfocuz HPC Render Farm Support Maya, Mental Ray, Blender, BMRT, 3Delight and Pixie , and other applications on the same rendering farm concurrently, without having to split up the computing resources.Techfocuz HPC Render Farm can peacefully coexist with other renderer-specific job schedulers.

 

Fault Tolerant

In the event that some rendering nodes fail,Techfocuz HPC Render Farm automatically re-routes frames to other working rendering nodes to ensure progress.Techfocuz HPC Render Farm provides extensive error recovery features against network, system and user errors and ensures optimal use of all available resources for lights-out operation.

Techfocuz HPC Render Farm Consists of

  • Management software
    This software will help in building and managing HPC Linux cluster with complete monitoring facilities.

  •  Cluster Management Tools
    The Cluster Management tools integrated with the Techfocuz HPC Render farm helps to keep the cluster running automated, which involved a number of routine administration tasks. The cluster management tools can automate a number of task across a cluster or multiple clusters, and is also used to monitor the health of the cluster from the master node using the web-based interface.

  • Cluster Scheduling and Monitoring Tools
    The Cluster scheduling and Monitoring tools helps you run your cluster like a batch system,allowing the administrator or user to allocate cluster resources such as CPU time and Memory, on a job-by-job basis. Jobs are queued and run as resources become available , subject to the priorities we establish. The user will be able to add or remove jobs from the job queue as well as track the progress of their jobs. The administrator will be able to establish the priorities and manage the queue.

  • Benchmarking
    Different type of benchmarks are done to analyse the performance of the cluster in different categories.
    Application Domain Benchmarks that measure the performance that the cluster delivers to particular applications or kernels.
    1. Communication Specific Benchmarks , that measure the communication performance of the cluster.
    2. Architecture Specific Benchmarks that measure the performance of various subsystems of the clusters.
    3. The benchmarks are done based on the type of application running in the Techfocuz HPC render farm .

  •  Workload Management Tools
    When multiple people share a cluster, some type of workload management is needed. Actually, even one person running a large mixture of jobs may need help managing the work. A workload management . system ensures that every person (or job) gets their fair share of the cluster, and all resources get used efficiently. There are three distinct components to workload management: resource management, job management, and job scheduling which are integrated with Techfocuz HPC render farm.

  • Support & Consultancy Services
    Focuz infotech provides the remote and onsite support to successfully manage HPC render farms.

    We also provide Consultancy Services like

    >  System design

    >  Installation and integration

    > Support

    > Application optimization

 
For more details please contact at enquiry@focuzinfotech.com
 
          
 
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