GPU Compute
NVIDIA professional and data-center GPUs selected for model memory, throughput, concurrency and expansion.
PRIVATE AI DATA CENTERS
Own the infrastructure behind your AI capacity.
BrainFarm USA designs customer-controlled AI data-center infrastructure around real workloads—from a focused GPU deployment to multi-node environments supporting inference, retrieval, analytics, engineering and secure organizational knowledge.
DESIGNED AS A COMPLETE SYSTEM
Compute is only one part of an AI data center.
A successful deployment connects GPU capacity with CPU resources, memory, storage, networking, power, cooling, security and daily operations. We translate model size, user demand, document volume, latency and growth plans into a practical infrastructure design.
High-Speed Fabric
10, 25, 100 and 200GbE options and suitable low-latency interconnects for storage, cluster traffic and GPU-aware workloads.
Enterprise Storage
NVMe and resilient storage tiers for models, embeddings, source documents, logs, checkpoints and backups.
Power & Cooling
Rack density, redundant power, heat output, airflow and facility requirements considered before installation.
Security Architecture
Network segmentation, role-based access, encryption, audit logging and controlled data flows aligned with policy.
Operations & Support
Deployment, monitoring, maintenance, training, capacity reviews and upgrades that keep the platform useful.
RIGHT-SIZED INFRASTRUCTURE
From a private AI room to a multi-rack data center.
Begin with a dedicated appliance, expand into a departmental cluster or engineer rack-level capacity for demanding workloads. The goal is to match capital, energy use and operating complexity to measurable requirements.
Departmental AI
Focused systems for private chat, document search, RAG, OCR, summarization and workflow assistance.
Enterprise GPU Cluster
Multi-GPU and multi-node capacity for larger models, more users, evaluation and advanced analytics.
Data-Center Deployment
Rack-integrated compute, storage, switching, management and power designed for growth and serviceability.
DATA-CENTER SERVICES
Explore the infrastructure path that fits the project.
Private On-Premises Data Centers
Keep models, documents and sensitive workloads inside customer-controlled facilities.
GPU Clusters & AI Compute
Connect multi-GPU capacity with high-speed networking, storage and phased expansion.
Design Through Commissioning
Move from assessment and architecture through installation, testing and operational handoff.
Sustainable Modernization
Reuse qualified infrastructure, upgrade bottlenecks and recover value from displaced assets.
MISSION-DRIVEN USE CASES
Private data-center capacity for sensitive and technical work.
Aerospace & Defense
Controlled engineering records, specifications, program documents, proposals and lessons learned.
Government
Customer-managed knowledge systems for policies, procedures, archives, research and operations.
Robotics & AI Companies
Dedicated inference, retrieval, evaluation and development infrastructure.
Data-Center Operators
GPU planning, asset reuse, cluster expansion and lifecycle support for private AI capacity.
PLAN BEFORE YOU BUY
What we evaluate before recommending hardware.
Workloads
Models, context, quantization, inference volume, fine-tuning, RAG, OCR and analytics.
Users
Concurrency, latency targets, availability and expected growth.
Data
Document volume, retention, source systems, backups and model storage.
Facility
Rack space, voltage, redundant power, cooling, networking and physical security.
Governance
Identity, permissions, auditability, approved data flows and update procedures.
Lifecycle
Phased capacity, validated components, trade-in value and enterprise equipment reuse.
DATA-CENTER LIFECYCLE VALUE
Turn replaced infrastructure into upgrade value.
Data-center expansion often replaces usable GPUs, servers, RAM, SSDs and networking hardware. BrainFarm USA connects that upgrade cycle to Mac2MacOnline, where eligible equipment can be evaluated for trade-in and productive reuse.
Identify Replaced Assets
Document manufacturer, part number, configuration, quantity, condition and testing status.
Receive an Evaluation
Mac2MacOnline reviews market demand, reuse potential, logistics and lot condition.
Apply Recovered Value
Agreed trade-in value can help offset new BrainFarm capacity and phased expansion.
BUILD A PRACTICAL CAPACITY PLAN
Start with workloads, facility requirements and growth.
Tell us what the data center must support, what already exists and what level of control is required.