GPU capacity
Select professional and data-center GPUs around model memory, concurrency, throughput and expansion.
GPU CLUSTERS & AI COMPUTE
Build private AI capacity that can grow in stages.
BrainFarm USA connects GPU compute, memory, storage and high-speed networking into a practical infrastructure plan for inference, retrieval, analytics, evaluation and approved model development.
THE COMPLETE COMPUTE PATH
A cluster performs only as well as its supporting architecture.
Cluster networking
Design suitable 25, 100 or 200GbE fabrics and low-latency data paths for multi-node workloads.
AI storage
Provide fast, resilient capacity for models, vectors, documents, checkpoints, logs and backups.
Management plane
Coordinate access, monitoring, workload placement, updates and operational visibility.
PHASED CAPACITY
Prove value first, then expand deliberately.
Single-node foundation
Focused private inference and RAG for a department or defined user group.
Multi-GPU system
More model memory and user concurrency inside a consolidated platform.
Multi-node cluster
Shared compute, storage and networking designed for broader organizational workloads.
MATCH CAPACITY TO DEMAND