Concurrent Private AI
Serve more simultaneous chat, summarization and analysis requests with greater responsiveness.
MID-LEVEL PRIVATE AI PLATFORM
AI Business Node
Twice the entry-level GPU capacity for growing teams, multiple departments, larger knowledge collections and heavier day-to-day private AI use.
4× NVIDIA L4 GPUs96GB installed GPU memory1TB DDR5 ECC memory4U A100-ready platform
BRAINFARM USA AI BUSINESS NODE
MID-LEVEL AI
96GB GPU MEMORY
96GB GPU MEMORY
4U SUPERMICRO DDR5 GPU SUPERSERVER
WHAT IT DOES
More private AI capacity for a growing organization.
Document Intelligence at Scale
Process larger OCR, indexing, classification and summarization queues without interrupting daily use.
Multi-Department RAG
Maintain separate approved knowledge areas for sales, operations, HR, service, accounting and engineering.
Multiple AI Workflows
Run private chat, embeddings, document processing and background automation at the same time.
PRIVATE BY DESIGN
Your company data stays onsite. The AI reaches outside only when you allow it.
BrainFarm USA installs and configures an autonomous private AI platform on a server located inside your company. Your files, prompts, model responses, embeddings and RAG knowledge base remain within your company-controlled network instead of being uploaded to a public AI service.
On-Premises Intelligence
The AI models, company documents and knowledge base operate locally. Employees connect through the company network, keeping sensitive information under company control.
Firewall-Controlled Internet Access
When current outside information is required, the AI makes an authorized outbound request through the company firewall. Security rules can limit websites, block sensitive content and log activity.
Approved RAG Expansion
Requested information returns to the private system. Once reviewed and approved, it can be indexed with its source and date in the company’s private RAG knowledge base.
The result: internet-connected usefulness without giving a public AI provider unrestricted access to internal information. Retrieval and additions to the RAG knowledge base follow company security and approval policies.
THE MID-LEVEL ADVANTAGE
What the Business Node adds over the entry-level system.
The AI Business Node keeps the same private software, onsite data control and practical business focus as the Starter Node, then increases the resources that determine model capacity, responsiveness and simultaneous workload handling.
It is especially good for:
- Growing organizations that need several departments using private AI throughout the day.
- More simultaneous chat, RAG search, summarization and document-analysis requests.
- Larger company knowledge collections with separate permissions and department indexes.
- Running different models or AI services for different business functions.
- Background OCR, embedding and indexing work while employees continue using interactive AI.
- More complex optimized models and longer-context workloads than the entry-level system handles comfortably.
- Organizations preparing for an eventual in-chassis move to the A100 high-end configuration.
What the four L4 GPUs make possible
Four NVIDIA L4 GPUs provide 96GB of installed GPU memory and twice the L4 inference capacity of the entry-level system. The software stack can distribute models and requests across the GPUs and use supported multi-GPU techniques when a workload requires them. GPU memory does not automatically behave as one single 96GB card, so final model sizing and concurrency are validated against the customer’s actual workload.
It is not the right system for:
- Training a new large foundation model from scratch.
- Running the largest models at full precision with maximum performance.
- Hundreds of users performing heavy AI work simultaneously.
- Workloads that already require A100-class HBM memory, bandwidth or Multi-Instance GPU isolation.
CURRENT-GENERATION DDR5 PLATFORM
A 4U foundation that can become the high-end A100 system.
The Business Node uses the same Supermicro SYS-421GE-TNRT3 chassis selected for the BrainFarm USA high-end system. Supermicro lists support for L4, L40S, A100 and H100-class PCIe GPUs, providing substantial power, cooling and in-chassis expansion headroom.
MID-LEVEL CONFIGURATION
4U AI Business Node
Supermicro SYS-421GE-TNRT3
PROCESSORS2× Intel Xeon Gold 6530 · 64 cores / 128 threads total
GPU4× NVIDIA L4 24GB · 96GB installed GPU memory
MEMORY1TB DDR5-5600 ECC RDIMM · 16× 64GB
OS STORAGE2× 1.92TB enterprise SSDs · mirrored
AI & DOCUMENT STORAGE6× 3.84TB enterprise SSDs · approximately 23TB raw
NETWORKINGDual 10GbE onboard + dual-port 25GbE AIOM · 100GbE optional
POWER & COOLING4× 2700W redundant Titanium PSUs · 8 heavy-duty hot-swap fans
EXPANSION12 drive bays · up to 8 single- or double-width PCIe GPUs
IN-CHASSIS GROWTH PATH
- Business Node4× L4 · 96GB GPU memory · 1TB DDR5
- High-End A1002× A100 80GB PCIe · 160GB HBM2e · 1.5TB DDR5
- Engineered ExpansionAdditional validated A100, L40S or H100-class capacity
The high-end conversion stays in the same 4U chassis. Every GPU change is engineered and validated for risers, power cables, firmware, airflow, rack power and the exact OEM support matrix before commitment.
Power planning: this 4U platform uses 200–240V rack power. BrainFarm USA validates power circuits, receptacles, PDUs, cooling and rack placement as part of the final configuration.
CONSULTING, TRAINING & LIFECYCLE SUPPORT
BrainFarm USA stays with you after installation.
We help your people use the system, develop and improve the private AI, maintain the hardware and supply the components required to expand capacity.
Staff Consulting & Training
Role-based instruction for employees and administrators using your company’s real workflows and security policies.
AI Training & RAG Development
Knowledge preparation, indexing, retrieval rules, prompt refinement, testing and continued AI improvement.
Monthly Hardware Maintenance
System-health reviews, temperature, fan, memory, storage and GPU checks, preventive maintenance and capacity planning.
Upgrade Parts, Trade-Ins & Engineering
We supply validated DDR5 ECC RAM, NVIDIA GPUs, enterprise SSDs and compatible installation hardware. When you upgrade, BrainFarm USA will take eligible replaced parts in trade and apply their evaluated value as a discount toward the new parts.
IS IT THE RIGHT FIT?
Choose the Business Node when entry-level demand is no longer occasional.
Choose mid-level when you need
- More simultaneous users and department workloads
- Twice the L4 GPU and system-memory capacity
- Larger RAG collections and background document processing
- Multiple models or services running together
- A clean in-chassis path to the A100 high-end system
Move directly to high-end when you need
- Models that require more than 24GB on a single GPU
- A100-class HBM2e memory bandwidth
- Hardware-isolated MIG instances
- Heavier fine-tuning, analytics or scientific compute
- Maximum performance from large enterprise models
Concurrency depends on the workload: model size, quantization, context length, response length and document-processing activity all affect how many users can work comfortably. BrainFarm USA tests the intended software stack before delivery rather than promising a generic user count.
READY FOR MORE CAPACITY?
Let’s size the Business Node around your team.
Tell us about your users, models, documents, integrations and expected growth.