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AI & HPC

Validated NVIDIA stacks and HPC platforms with RDMA/NFS pipelines-scale from PoC to supercluster with liquid-cooling options.

Vendors we implement & support

NVIDIA

OVX/HGX reference designs, AI Enterprise, CUDA toolchain

Dell Technologies

GPU servers and OVX platforms for training/inference

Lenovo

OVX/HGX GPU platforms, Neptune DLC cooling for dense racks

HPE

Cray EX/HPC & GreenLake for AI

NetApp

AI validated designs with NFS over RDMA, data pipelines

IBM

Spectrum Scale (parallel file) and HPC scheduling stacks

Customer outcomes

GenAI Training

Scaled to multi-GPU nodes with RDMA fabric

Outcome: 2.1x faster epoch time; stable thermals with DLC.

Vision Analytics

Edge-to-core data pipeline feeding GPU farm

Outcome: 35% ingest improvement; 28% lower $/training.

HPC Research

Parallel file + Slurm acceleration for CFD

Outcome: 1.6x I/O throughput; 20% less queue wait.

Products we deploy

Cisco

Intersight

SaaS control plane for UCS/HyperFlex and multi-vendor integrations.

Dell Technologies

OpenManage Enterprise + iDRAC

Server lifecycle automation and OOB management.

HPE

OneView + iLO

Templates and REST automation for servers and composable systems.

Lenovo

XClarity Admin

Fleet provisioning, updates, and monitoring for ThinkSystem/ThinkEdge.

Schneider Electric (APC)

EcoStruxure IT (DCIM)

Cloud/hybrid DCIM for power/thermal monitoring and capacity.

Vertiv

Liebert UPS (EXM/ETM)

Modular, scalable UPS for edge to core with analytics.

Lenovo / Vertiv

RDHx (Rear-Door Heat Exchanger)

Row-level passive/active RDHx to capture heat at rack.

Various (CoolIT/Lenovo/HPE)

Direct Liquid Cooling (DLC) + CDU/XDU

Closed-loop cold-plate systems for high-density racks.

Key Features that Define AI & HPC

Validated GPU Platforms (OVX/HGX)

Reference architectures for training/inference with correct CPU:GPU ratios, power, and airflow.

High-Throughput Storage Paths

NFS over RDMA, NVMe-oF, and parallel file systems to keep GPUs saturated.

Data Pipeline & MLOps

Ingest, curate, and stage datasets with versioning; integrate with MLflow/K8s where appropriate.

DLC / Efficient Cooling

Direct liquid cooling and rear-door heat exchangers for dense AI racks.

Scheduling & Orchestration

Slurm/K8s with topology-aware placement and MIG partitioning on GPUs.

Observability & Tuning

Per-GPU telemetry, NCCL diagnostics, profiles for batch size/num workers.

Cyber Resilience for AI Data

Immutable snapshots, rapid restore, and secure staging for sensitive datasets.

Scalability & Multi-Site

Scale-out fabrics, interconnect planning (RoCE/InfiniBand), and DR-ready object tiers.

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