GPU Cards
The compute heart of every accelerated system. We work across current accelerator generations — from data-center training GPUs to inference-optimized cards — matched to your model size, memory footprint and throughput targets.
HARDWARE & PLATFORMS / MCI WORLD
The full intelligent computing stack.
From GPU cards to cooling, storage to software — every layer of an compute infrastructure estate, specified and integrated as one system.
CATALOG
Twelve building blocks.
One integrated system.
Each category below is a layer of a real accelerated deployment. Configurations, quantities and availability are confirmed with the team for every engagement.
Accelerated Servers / Rack Servers
GPU-dense server platforms engineered for training and inference clusters. Rack-scale systems with high-speed interconnect, validated thermals and remote management for production estates.
Accelerated Workstations
Desk-side accelerated systems for data science, model development, simulation and design teams — enterprise GPUs with workstation reliability, before workloads graduate to the cluster.
CPUs
Host processors that feed the accelerators. Core count, memory channels and I/O lanes are balanced against the GPU count so the host never starves the compute.
RAM / High-Bandwidth Memory
System memory and HBM configurations sized for large models and datasets. Memory capacity and bandwidth often decide what a GPU can actually deliver — we size it deliberately.
Networking / NICs / SuperNICs
The fabric that turns servers into a cluster. High-speed NICs and SuperNICs with RDMA keep multi-node training synchronized and inference latency low.
DPU / PCIe / Interconnect
Data processing units offload networking, storage and security work from the CPU, while PCIe topology and GPU-to-GPU interconnect define how fast data moves inside each node.
Cooling & Power
High-density compute racks demand engineered cooling — air, liquid or hybrid — and power distribution designed for sustained accelerator load, not nameplate averages.
Storage
Training data, checkpoints and model artifacts need fast, resilient storage. From NVMe-local to parallel file systems, sized to keep GPUs fed instead of waiting.
Edge Computing / Embedded Hardware
Inference where the data is born. Ruggedized and embedded compute modules for factories, vehicles, defense platforms and remote sites — connected back to the core when needed.
Enterprise Software & Platforms
The stack above the metal: orchestration, model frameworks, MLOps tooling, monitoring and security — so hardware capacity becomes usable, governed computing capability.
Companies / OEMs / ODMs
We source and integrate across leading original equipment and design manufacturers, selecting the right platform partner for each build rather than forcing a single vendor.
NEXT STEP
Specify your build.
Tell us the workload and we will come back with an indicative configuration across these layers.