AI • HPC • Datacenter • Scientific Computingsupport@mcrtech.co.in
ENGINEERING SERVICES

Infrastructure engineering across
compute, network and storage.

Design, deployment, operations, training and support for AI, HPC, virtualization and scientific computing environments.

01
Linux and server support

IT Support

Linux system administration, server troubleshooting, patching, service configuration, security-aware operations and documentation.

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02
AI, GPU and HPC operations

Cluster Support

Cluster health checks, node configuration, scheduler troubleshooting, compute, storage, network, user access and workload support.

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03
Architecture through handover

New Cluster Deployment

Requirement discovery, architecture, hardware planning, OS deployment, scheduler configuration, testing, documentation and handover.

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04
Collaborative AI environments

Setup AI Labs

Plan GPU workstations and servers, shared datasets, storage, networking, Python environments, containers and monitoring.

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05
Training and inference infrastructure

Setup AI Cluster

Design shared GPU infrastructure around workload scheduling, datasets, runtime environments, operations and user access.

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06
CPU and GPU compute environments

Setup HPC Cluster

Plan login and management nodes, Slurm or PBS scheduling, MPI, shared storage, high-speed networking and scientific applications.

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07
Containerized infrastructure

Kubernetes Platforms

Kubernetes environments for containerized workloads, persistent storage, GPU scheduling and operational monitoring.

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08
Scheduling and resource management

Slurm Support

Controller and compute node configuration, partitions, resource requests, workload policies and day-to-day administration.

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09
Batch workload management

PBS Support

PBS scheduler setup, queues, compute resources, user workflows and workload troubleshooting.

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10
Connected data infrastructure

Storage & Networking

NFS, NAS, SAN, TrueNAS, local NVMe, storage networking, capacity planning and data-protection architecture.

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11
Connected data infrastructure

Storage & Networking

NFS, NAS, SAN, TrueNAS, local NVMe, storage networking, capacity planning and data-protection architecture.

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12
High-performance shared data

Parallel Filesystems

Architecture and operations for parallel filesystem categories such as Lustre and BeeGFS, subject to workload and compatibility review.

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13
Proxmox and lab environments

Virtualization & Private Infrastructure

Proxmox-based virtualization planning, virtual machines, networking, storage integration, backup planning and operational support.

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14
Reproducible software environments

Scientific Application Support

Application installation, Python packages, MPI and GPU environment troubleshooting, compatibility and performance guidance.

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15
Integrated infrastructure layers

Datacenter Infrastructure

Plan compute, racks, network, storage, management, monitoring and operational service layers around workload requirements.

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16
Integrated AI infrastructure

AI Factory

Coordinate accelerated compute, fabric, storage, software platforms and operational controls for AI workloads.

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Training & Knowledge Transfer
17
Practical technical learning

Training & Knowledge Transfer

HPC, AI, Linux, Slurm, PBS, Kubernetes, storage, networking, GPU infrastructure and scientific computing training.

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DELIVERY MODEL

One technical workflow from design through support.

MCR Tech India can engage at one layer or across the infrastructure stack, depending on the agreed project scope.

DiscoverWorkload, scale, users, performance and operational requirements
DesignCompute, network, storage, OS, scheduler and applications
DeployInstallation, configuration, integration and validation
OperateDocumentation, training, support and troubleshooting
NEED A TECHNICAL REVIEW?

Start with your workload and constraints.

Share existing infrastructure, scale, target performance, team skills and operational goals.

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