Neutree — AI Infrastructure
Enterprise Private AI Platform for Training, Fine-Tuning & Inference
Neutree is Arcfra's open-source enterprise AI platform that provides a unified VM + Kubernetes environment for hybrid AI workloads. GPU pool management, model registry, and private model-as-a-service deployment — all on your own infrastructure.
What is the Neutree — AI Infrastructure?
Neutree addresses the critical challenge of enterprise AI: how to train, fine-tune, and deploy AI models on private infrastructure without sending sensitive data to public cloud AI services. Deeply integrated with AECP, Neutree provides GPU pool management that allocates NVIDIA A/H-series accelerators across training, fine-tuning, and inference workloads dynamically. The built-in model registry tracks model versions, datasets, and training parameters — ensuring reproducibility and compliance. Dataset management tools handle data ingestion, preprocessing, and versioning, while the vector database integration supports RAG (Retrieval-Augmented Generation) applications. With application-level micro-segmentation and unified observability, Neutree delivers production-grade AI environments that keep your data within your perimeter.
Technical Specifications
Key Features
- GPU pool management & dynamic scheduling
- Private model training, fine-tuning & inference
- Built-in model registry & version control
- Dataset management & preprocessing pipeline
- High-performance NVMe storage for AI lifecycle
- Vector database integration for RAG apps
- Application-level micro-segmentation
- Unified monitoring, logging & alerting
How the Neutree — AI Infrastructure Benefits Your Organization
Real, measurable advantages that translate into operational efficiency, cost savings, and risk reduction.
Keep Sensitive Data Private
Train and deploy AI models on your own infrastructure — patient records, financial data, and proprietary information never leave your perimeter.
Maximize GPU Utilization
GPU pool management dynamically allocates accelerators across training, fine-tuning, and inference — eliminating idle GPU waste and reducing costs.
Reproducible AI Pipelines
Model registry tracks every version, dataset, and hyperparameter configuration — ensuring experiments are reproducible and auditable for compliance.
Production-Grade Performance
NVMe-optimized storage, InfiniBand networking, and GPU direct access deliver the I/O performance that AI workloads demand — not the bottlenecks of generic cloud VMs.
Secure AI by Design
Micro-segmentation isolates AI workloads at the application level. A breach in one model training job cannot access another — containing risk automatically.
From Experiment to Production
The same platform supports research experimentation, model fine-tuning, and production inference — no re-platforming or data migration between phases.
Challenges We Solve
Every product in our portfolio addresses specific operational pain points. Here is how the Neutree — AI Infrastructure solves yours.
Public cloud AI services require sending sensitive data (patient records, financial data, proprietary IP) to third-party servers — a compliance and security risk.
Neutree runs entirely on your private AECP infrastructure. All data, models, and training processes remain within your perimeter — zero external data exposure.
GPU resources are expensive and often sit idle when not actively training, wasting significant budget on underutilized hardware.
GPU pool management dynamically allocates NVIDIA accelerators across training, fine-tuning, and inference workloads — maximizing utilization and reducing waste.
AI experiments are difficult to reproduce because teams lose track of which dataset version, hyperparameters, and code were used for each model.
The built-in model registry automatically tracks every model version with its associated dataset, parameters, and training code — full reproducibility with one click.
Moving AI models from research to production requires re-platforming, creating data migration headaches and deployment delays.
Neutree supports the entire AI lifecycle on one platform — from experimentation to production inference — with no re-platforming or data movement required.
Ideal Use Cases
Industries Served
Ready to Deploy the Neutree — AI Infrastructure?
Contact our team for a personalized consultation, product demonstration, or tailored quote for your organization.