eRacks/AISHA - 128GB Unified VRAM Flagship AI Server, Dual Xeon, Supermicro 4U

The eRacks/AISHA is designed for organizations running large language models (LLMs), vector databases, RAG pipelines, and high-throughput AI workloads — without the inflated cost of proprietary GPU-heavy solutions.

Instead of chasing the latest ultra-expensive GPUs, eRacks/AISHA emphasizes massive memory capacity, flexible COTS GPU options, and full open-source software support — giving you a scalable, sustainable AI infrastructure that you fully own and control.

Although this model adheres to our naming convention for our AI servers, of Patterning after Gaelic / Celtic names with 'AI' in them, one of our guys suggested an acronym:  Advanced Intelligent Server for High-RAM AI :-D

Key Specifications

• Form Factor: 4U rackmount chassis

• CPU: Single or Dual Intel Xeon or AMD Epyc processors

• Memory: Up to 6TB DDR5 RAM

• GPU Support: Up to 10x COTS GPUs - NVIDIA / AMD / Intel

• Storage: Expandable NVMe + SATA SSD / HDD arrays

• Networking: Dual / quad 10 / 25 / 40 / 100GbE options

• Expansion: Multiple PCIe Gen4 / Gen5 slots for GPUs, NICs, accelerators

• Cooling & Power: Redundant high-efficiency PSUs, optimized airflow for dense GPU/RAM builds

Why Choose eRacks/AISHA?

• 🧠 RAM-First Design
  Train, fine-tune, or host 671B+ parameter LLMs locally with multi-terabyte RAM support.

• 🎮 COTS GPUs
  Deploy readily-available GPUs — from gaming-class cards to pro-grade accelerators — without vendor lock-in.

• 🔓 Open-Source Ready
  Optimized for PyTorch, TensorFlow, JAX, Hugging Face Transformers, Ollama, LangChain, Milvus, Weaviate and more.

• 🏢 Enterprise-Class Reliability
  ECC memory (available), redundant power, hot-swap drives, and modular expansion ensure long-term uptime.

• 🌍 Local + Private AI
  Run generative AI, LLM inference, and RAG pipelines securely, on-premises, with no dependency on cloud APIs.

Ideal Use Cases

• Hosting 671B+ parameter models locally

• Enterprise RAG + vector search platforms

• Multi-tenant AI / ML research clusters

• Fine-tuning LLMs on private datasets

• AI inference serving for internal or customer-facing apps

• Secure, compliant on-premise AI infrastructure

Customization & Services

eRacks specializes in custom system design. AISHA can be tailored with:

• Hybrid GPU configurations (NVIDIA, AMD, Intel, or mixed)

• Balanced storage arrays (NVMe scratch + HDD archival)

• Enhanced networking (RDMA, Infiniband, or 100GbE)

• Pre-installation of your preferred Linux distro + AI frameworks (Ollama, vLLM, Axolotl, LLaMA-Factory, Unsloth, Kohya, DeepSpeed, Open WebUI, AnythingLLM, ComfyUI, and more)

• Ongoing support, monitoring, and consulting packages

📞 Contact us today to configure your eRacks/AISHA and bring open, local AI into your enterprise.

Power: quad hot-swap 2700W Titanium power supplies, 10.8kW installed. In the standard 2+2 redundant mode (two supplies carry the load, two stand by) that is 5.4kW of fully-redundant capacity on 208-240V datacenter power: all ten GPU bays filled with 300W-class cards (Arc Pro B70, L40S, RTX PRO 6000 Max-Q) plus dual CPUs, with headroom. Ten 600W-class flagship cards run in the 3+1 mode; we spec the PSU mode and rack power (PDU, 208V circuit) for your exact build at order.

Pair it with an eRacks NAS: AISHA is all-flash (24x 2.5-inch bays, no 3.5-inch). Keep models on fast flash; put training data, datasets, and backups on 3.5-inch CMR drives (conventional magnetic recording) with predictable, monitorable wear and far lower cost per terabyte: see our rackmount NAS line.

Features & Specifications