Enterprise Advisory
End-to-End AI Infrastructure Architecture
Deploying large language models (LLMs) and training pipelines requires massive computing power, specialized networking, and extreme file-system throughput. Our advisory team guides you from custom node specifications to final validation.
GPU Cluster Design
Custom server specifications for NVIDIA H100, A100, L40S, and Grace Hopper architectures tailored to your model training and inference workloads.
InfiniBand & RoCE Networking
High-speed, low-latency interconnects (400Gb/s+) using NVIDIA Mellanox switches to eliminate network bottlenecking during distributed training.
High-Throughput Parallel Storage
Implementation design for high-throughput filesystems (e.g., Ceph, WekaFS, GPFS) to ensure GPUs are continuously fed data without delay.
Orchestration & Virtualization
Deploying Slurm, Kubernetes, and Run:ai clusters for optimized workload orchestration, multi-tenancy, and maximum GPU utilization.
