Foundation Models are not bought — they are built. MICHRO infrastructure breaks the memory bottleneck that slows Large Language Model (LLM) training, Transformer fine-tuning, and Multi-Modal AI workloads.
Train, fine-tune, and deploy Foundation Models behind your own firewall with zero data egress. Enable Transformer architectures, Vector Databases, and RAG (Retrieval-Augmented Generation) pipelines.
Multiplexed Rank DIMMs (MRDIMMs) push up to 8800 MT/s, feeding GPUs 30% faster than standard DDR5 servers. Essential for Transformer model training and LLM inference workloads.
Xeon 6 + AMX accelerates Vector Database search, embedding generation, and dense retrieval, making your RAG (Retrieval-Augmented Generation) pipelines fast enough to operate in real time with sub-millisecond latency.
From data preparation to production deployment
Prepare training datasets for Large Language Model development with high-speed storage and memory bandwidth.
Train Foundation Models and Transformer architectures with distributed parallelism across NEURAL 3000 clusters.
Fine-tune pre-trained LLMs for domain-specific applications with RAG pipeline integration.
Deploy Generative AI services with AMX-accelerated inference and Vector Database operations.
Train 20B-100B+ parameter Foundation Models with distributed parallelism. Optimized for Transformer architectures and Large Language Model development.
High-bandwidth memory architecture optimized for Vector Database operations, embedding generation, and semantic search.
Enable RAG (Retrieval-Augmented Generation) pipelines with real-time Vector Database search and dense retrieval capabilities.
Connect with our team to design your sovereign Generative AI infrastructure for Foundation Model training and LLM deployment.