CPUHPC • BeginnerDemo available
HPC Fundamentals
Understand cluster architecture, login nodes, compute nodes, CPU cores, memory, networking and shared storage.
₹799₹999
AI • HPC • Datacenter Engineering
MCR Tech helps organizations design, deploy and support AI Labs, HPC clusters, GPU infrastructure, Kubernetes environments, scientific computing platforms, enterprise storage and modern datacenter solutions.
Engineering Infrastructure for Modern Computing
MCR Tech provides infrastructure design, deployment, integration, optimization, training and technical support across AI infrastructure, HPC, GPU computing, enterprise servers, storage, networking, Kubernetes and scientific applications.
Core Services
Infrastructure services remain the primary focus — training complements the engineering work.
Operational support for HPC, AI, GPU and scientific computing clusters.
Explore service →GPU infrastructure for machine learning, deep learning and inference.
Explore service →CPU/GPU HPC environments for engineering and scientific workloads.
Explore service →Production and lab Kubernetes environments including GPU scheduling.
Explore service →AI Labs
Design the complete environment around GPU compute, CPU services, high-speed networking, shared storage, container platforms, Python environments, monitoring and user access.
Reference architecture
HPC architecture
HPC Cluster
Design login, management and compute nodes with Slurm or PBS scheduling, shared storage, monitoring and high-speed networking for engineering and research workloads.
Hybrid AI + HPC
Use scheduler-aware CPU and GPU partitions with shared storage, high-speed networking and Kubernetes/Slurm integration where appropriate.
Datacenter / AI Factory
Scale infrastructure in deliberate stages while keeping compute, storage, network, operating systems and workload platforms aligned.
Server & Lab Solutions
Integrated compute, storage, networking and applications.
View configuration options →Scientific Application Support
Support for installation, configuration and integration of scientific software stacks across CFD, molecular dynamics, computational chemistry, structural analysis, AI/ML, MPI and GPU computing.
Technology names indicate possible support scope and do not imply official partnership.
Application stack
Interactive Planning
Choose workload, compute, size, network, storage and scheduler. Send the architecture request directly to MCR Tech.
Example choices
MCR Tech Training Academy
HPC, AI infrastructure, Linux, Kubernetes, storage, Slurm and scientific computing courses from fundamentals through advanced operations.
Understand cluster architecture, login nodes, compute nodes, CPU cores, memory, networking and shared storage.
Hands-on cluster deployment, Linux administration, Slurm, monitoring, users, tuning and troubleshooting.
NFS, NAS, SAN concepts, NVMe, RAID, storage networking and performance engineering for clusters.
GPU infrastructure, CUDA concepts, AI workloads on HPC and GPU resource management with schedulers.
Kubernetes architecture, GPU scheduling, containers, persistent storage and hybrid HPC/Kubernetes operations.
Design CPU and GPU partitions with Slurm, Kubernetes, shared storage, high-speed networking and mixed workloads.
Course prices shown are configurable demo prices and can be managed from the database/admin panel.
Delivery Process
Why MCR Tech
Solutions are designed around workload, scale, performance and operational requirements.
Support across compute, networking, storage, operating systems, schedulers and applications.
Infrastructure designed around practical engineering and scientific computing requirements.
Start as a lab and evolve toward larger clusters and datacenter infrastructure.
Clear design, documented components and defined deployment scope.
Secure configuration practices across access, APIs and payment systems.
Defined support workflow for infrastructure, cluster and software issues.
Combine deployment services with technical training for your team.
Talk to MCR Tech about your workload, compute, storage, network and software stack.