Large-Model Inference
Run larger and less aggressively quantized models with substantially more memory bandwidth per GPU.
HIGH-END A100 PRIVATE AI PLATFORM
AI Enterprise Node
High-bandwidth A100 acceleration for larger models, heavier concurrency, advanced analytics and demanding private AI workloads—while company data remains onsite.
2× NVIDIA A100 80GB160GB HBM2e GPU memory1.5TB DDR5 ECC memoryMIG-capable enterprise GPUs
BRAINFARM USA AI ENTERPRISE NODE
HIGH-END AI
160GB HBM2e
160GB HBM2e
4U SUPERMICRO A100 GPU SUPERSERVER
WHAT IT DOES
High-end private AI for demanding enterprise work.
Heavy Document Processing
Accelerate large OCR, classification, embedding, summarization and analytics pipelines.
Enterprise RAG
Support larger knowledge collections, advanced retrieval workflows and more simultaneous department use.
Advanced AI Workloads
Handle heavier inference, analytics, supported fine-tuning and multiple isolated GPU workloads.
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: high-end AI capability 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 HIGH-END A100 ADVANTAGE
What the Enterprise Node adds over the entry-level system.
The Enterprise Node moves beyond simply adding more L4 cards. Its A100 GPUs use high-bandwidth HBM2e memory, support Multi-Instance GPU partitioning and are designed for demanding AI, analytics and high-performance computing workloads.
It is especially good for:
- Larger language and multimodal models that do not fit comfortably on the entry-level system’s two 24GB L4 GPUs.
- Higher-throughput private chat and RAG across multiple teams or business units.
- Longer contexts, larger batches and less aggressively quantized model deployments.
- Advanced document intelligence, analytics, computer vision and scientific computing.
- Supported parameter-efficient fine-tuning and continued development of existing models.
- Separating workloads into hardware-isolated Multi-Instance GPU environments when supported.
- Organizations that need premium onsite AI performance without moving sensitive data to a public AI provider.
What the A100 GPUs make possible
Each NVIDIA A100 provides 80GB of HBM2e memory with approximately 1.9TB/s of memory bandwidth. Two cards provide 160GB of installed GPU memory and can be connected with a validated NVLink bridge when the workload and configuration support it. As with every multi-GPU system, memory is not automatically one pooled 160GB space; model parallelism, workload placement and MIG configuration determine how the capacity is used.
It is not the right system for:
- Training a brand-new frontier-scale foundation model from scratch.
- Replacing an 8-GPU HGX or multi-node AI cluster.
- Hundreds of simultaneous heavy users without additional infrastructure.
- Customers whose workload fits comfortably on the lower-cost L4 entry or mid-level systems.
CURRENT-GENERATION DDR5 / A100 PLATFORM
High-bandwidth GPU capability with room to expand.
The Supermicro SYS-421GE-TNRT3 is a current-generation 4U DDR5 platform with direct PCIe 5.0 CPU-to-GPU connectivity. Supermicro lists support for up to eight PCIe GPUs, including A100, L4, L40S, H100 and H100 NVL.
HIGH-END A100 CONFIGURATION
4U AI Enterprise Node
Supermicro SYS-421GE-TNRT3
PROCESSORS2× Intel Xeon Gold 6530 · 64 cores / 128 threads total
GPU2× NVIDIA A100 80GB PCIe · 160GB HBM2e installed
MEMORY1.5TB DDR5 ECC RDIMM · validated balanced population
OS STORAGE2× 1.92TB enterprise SSDs · mirrored
AI & DOCUMENT STORAGE6× 7.68TB enterprise SSDs · approximately 46TB 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
HIGH-END EXPANSION PATH
- A100 Baseline2× A100 80GB PCIe · 160GB HBM2e · 1.5TB DDR5
- Expanded A100Additional validated A100 capacity · more memory, throughput and MIG instances
- Next-Generation LaneL40S, H100 or H100 NVL PCIe; HGX/SXM systems quoted separately
Top-end GPU changes are not treated as drop-in upgrades. BrainFarm USA validates chassis support, risers, cabling, firmware, airflow, rack power, cooling, model architecture and supplier availability before customer commitment.
A100 deployment requirement: the system requires a validated 200–240V rack-power plan and appropriate room cooling. NVLink, MIG, model parallelism and GPU expansion are configured only when supported by the selected workload and software stack.
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 for continued expansion.
Staff Consulting & Training
Role-based instruction for employees, developers and administrators using your company’s workflows and policies.
AI Training & RAG Development
Knowledge preparation, retrieval design, model evaluation, supported fine-tuning and continuous 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, NVLink components 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 Enterprise Node when model size and workload intensity justify A100.
Choose high-end when you need
- More than 24GB of memory on an individual GPU
- A100 HBM2e bandwidth for demanding inference and analytics
- Hardware-isolated MIG environments
- Heavier concurrency, fine-tuning or scientific workloads
- Substantial onsite capacity with room for engineered expansion
Choose entry or mid-level when
- Your main use is private chat and document RAG
- Optimized 7B–14B models satisfy the workload
- Only a modest number of users work heavily at once
- Power, cooling and rack capacity are limited
- A100 memory bandwidth would sit mostly unused
Workload discovery comes first: BrainFarm USA benchmarks representative models, context lengths, user concurrency and document pipelines before finalizing the A100 configuration. This prevents customers from buying high-end hardware that their workload does not need—or undersizing a system that must support production use.
READY FOR HIGH-END PRIVATE AI?
Let’s validate the Enterprise Node against your workload.
Tell us about your models, users, datasets, security requirements and development plans.