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MICHRO NEURAL™ 3000

The sovereign compute foundation for Large Language Model (LLM) training, Foundation Model fine-tuning, and Generative AI inference at enterprise scale.

Density Defined

The Anvil Upon Which Intelligence Is Forged.

Built on Intel® Xeon® 6 P-cores (Granite Rapids-SP), the NEURAL 3000 eliminates memory bottlenecks for Transformer model training, LLM fine-tuning, and high-throughput Generative AI inference. Massive MRDIMM bandwidth ensures GPUs and vector engines remain fully fed.

128
Total CPU Cores
4TB
Max Memory (CXL)
8x
PCIe 5.0 GPU Slots
8800
MRDIMM MT/s
MICHRO NEURAL 3000 - 3U Foundation Model Training Server with Intel Xeon 6
Generative AI Optimized

Built for Foundation Models & LLMs

LLM Training Acceleration

Optimized for Transformer architectures and Large Language Model training with distributed parallelism across multiple nodes.

AMX Inference Engine

Intel® AMX acceleration for BF16/INT8 inference, enabling real-time Generative AI workloads with sub-millisecond latency.

Vector Database Ready

High-bandwidth memory architecture optimized for Vector Database operations, embedding generation, and RAG pipeline acceleration.

Technical Specifications

Enterprise-grade specifications for Generative AI workloads

Compute & Memory

  • •
    Dual Intel® Xeon® 6 P-core sockets — up to 128 cores per CPU (256 cores total)
  • •
    16× DDR5 / MRDIMM slots per node — 8800 MT/s bandwidth, up to 2TB per node
  • •
    CXL 2.0 Type 3 memory expansion — up to 4TB/node for massive model support
  • •
    Intel® AMX acceleration — BF16 / INT8 inference for Transformer models

Expansion & Networking

  • •
    8× PCIe Gen 5.0 x16 slots — for GPU acceleration and AI accelerators
  • •
    100G/400G networking — optimized for distributed LLM training
  • •
    3U chassis with 4 independent nodes — hot-swap capability
  • •
    Direct-to-Chip liquid cooling — sustained Turbo frequencies 24/7

Generative AI Use Cases

Foundation Model Training

Train 20B-100B+ parameter models with distributed parallelism across multiple NEURAL 3000 nodes. Optimized for Transformer architectures and Large Language Model development.

LLM Fine-Tuning & RAG

Fine-tune pre-trained Foundation Models for domain-specific applications. Enable RAG (Retrieval-Augmented Generation) pipelines with high-speed Vector Database operations.

Multi-Modal AI Workloads

Support vision-language models, image generation, and multi-modal Generative AI with massive memory bandwidth.

Enterprise AI Inference

Deploy production Generative AI services with AMX-accelerated inference, supporting thousands of concurrent LLM requests per second.

Ready to Deploy Your AI Factory?

Connect with our team to configure the perfect NEURAL 3000 cluster for your Generative AI workloads.

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