HPC Cluster Engineering & Management.
High Performance Computing (HPC), CPU & GPU Clusters, Linux Administration, Slurm/PBS Scheduling, MPI Parallel Computing, High-Speed Networking and Shared Storage Solutions.
Review the scope against your environment.
MCR Tech provides High Performance Computing (HPC) cluster engineering, deployment, configuration, optimization and technical support for research institutions, universities, laboratories, engineering companies and enterprise computing environments. Our HPC solutions are designed to run compute-intensive workloads efficiently using multi-core CPUs, GPU accelerators, high-speed interconnects, parallel computing frameworks and centralized storage systems. **Our HPC Cluster Engineering Services Include:** 1. HPC Cluster Design & Architecture: Plan cluster architecture according to workload requirements, compute capacity, memory, storage, networking and scalability. 2. Linux Cluster Installation & Administration: Install and configure Linux-based compute nodes, head nodes, login nodes, user accounts, SSH access, permissions and system services. 3. CPU & GPU Compute Infrastructure: Configure CPU computing nodes, NVIDIA GPU systems, GPU drivers, CUDA environments and workload-specific compute resources. 4. Workload Scheduling & Resource Management: Deploy and configure Slurm or PBS job schedulers, job queues, resource allocation, partitions, job priorities and fair-share policies. 5. MPI & Parallel Computing: Configure MPI environments and support parallel applications that run across multiple compute nodes. 6. High-Speed Networking: Plan and troubleshoot Ethernet and InfiniBand networking, node connectivity, communication performance and cluster network configuration. 7. Shared & Parallel Storage: Configure NFS, NAS, SAN and suitable parallel storage solutions for datasets, application files, checkpoints and simulation results. 8. Scientific Application Deployment: Support the installation and configuration of scientific computing, engineering simulation, computational research and AI/HPC applications according to software requirements and licensing. 9. Monitoring & Performance Optimization: Monitor CPU, GPU, memory, storage, network utilization, job execution and cluster health to identify performance bottlenecks. 10. Security, User Management & Maintenance: Configure access controls, user environments, software modules, updates, backups and operational procedures. 11. Cluster Troubleshooting & Technical Support: Diagnose failed jobs, node connectivity issues, scheduler errors, software dependencies, GPU problems and performance bottlenecks. 12. Documentation & Knowledge Transfer: Provide configuration documentation, operational guidance and administrator training to help teams manage their computing infrastructure. **Who Can Benefit?** Universities, research laboratories, AI research teams, scientific computing groups, engineering organizations, data science teams and enterprises requiring scalable computing infrastructure. **Why Choose MCR Tech?** MCR Tech focuses on practical HPC engineering, Linux infrastructure, cluster deployment, workload scheduling, AI/GPU computing, storage, networking and ongoing technical support. Solutions can be planned according to project requirements, available hardware, workload characteristics and budget. For HPC cluster setup, infrastructure consulting, troubleshooting or technical support, contact support@mcrtech.co.in. Website: https://mcrtech.co.in
Work included, supported versions, access requirements, timing, commercial terms, validation and handover are agreed for each request. A service listing is not a guaranteed product compatibility or response-time commitment.
Technologies referenced in this service
What this service includes
- HPC Cluster Design and Architecture
- Linux Server Installation and Configuration
- CPU and GPU Compute Node Setup
- HPC Cluster Installation and Deployment
- Slurm Workload Manager Installation and Configuration
- PBS Job Scheduler Configuration
- MPI and Parallel Computing Support
- NVIDIA GPU Drivers and CUDA Setup
- High-Speed Ethernet and InfiniBand Networking
- NFS, NAS, SAN and Parallel Storage Configuration
- Scientific and Engineering Application Installation
- Cluster User Accounts and Access Management
- Job Scheduling and Resource Allocation
- HPC Performance Monitoring and Optimization
- Cluster Troubleshooting and Maintenance
- Linux System Administration
- HPC Security and Software Environment Management
- Cluster Documentation and Administrator Training
- Remote HPC Technical Support
- AI and GPU Computing Infrastructure Support
Potential use cases listed for this service
- Run large scientific simulations and computational workloads
- Accelerate AI and machine learning workloads using GPUs
- Execute parallel applications across multiple compute nodes
- Improve CPU and GPU resource utilization
- Manage computing jobs with Slurm or PBS
- Support university and research laboratory computing
- Run engineering, scientific and numerical simulations
- Process large datasets using HPC infrastructure
- Centralize software, user access and computing resources
- Improve cluster reliability and troubleshooting
- Scale computing infrastructure as workloads grow
- Support research, development and technical computing
- Optimize cluster performance and job execution
- Enable shared storage and high-speed node communication
- Simplify HPC administration and workload management
Related: reference architectures, HPC & AI applications, and cluster planning.
