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AI Rackmount Servers

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AI Rackmount Servers

AI Rackmount Servers

Contact us today for a custom-tailored AI server quote, at less than other vendors are charging / quoting - here's what we have available now, or in the works soon-to-be-released:

📌 Local-First AI, Redefined

RAM-Optimized Rackmount AI Servers

For LLMs, MoE, Diffusion, Vector search, Deep Learning / Custom Training, & Open-Source AI stacks

🔧 Our current models, Built Around RAM, Not GPU Hype

Model	Chassis	GPUs	CPU(s)	Max RAM	Best For
eRacks/AILSA	2U (3U/4U avail.)	Up to 3	Ryzen or Threadripper	512GB	SMB, Small office, Solo devs, 200B-600B+ LLMs, Whisper, SD
eRacks/AIDAN	2U	Up to 3	up to 2 EPYC	3TB	SMB, Med office, small dev teams, 800B+ LLMs, MoE, Training
eRacks/AINSLEY	4U	Up to 4	Threadripper	2+TB	Local high-usage, R&D teams, 671B+ models, training, fine-tuning, MoE
eRacks/AISHA	4U	Up to 8	Up to 2 Xeon or 2 Epyc	6TB	Hosting, 800B+ LLMs, RAG, Training, local agents, all MoE models, more

✅ Key Features

RAM-first design: Keep large models in-memory
COTS GPUs: Compatible with RTX 50x0/40x0/3090, A4000–A6000, AMD GPUs, Intel High-RAM Arc A-Series and Battlemage GPUs (COTS=Common Off-The-Shelf)
Open-source OS, Open Source ready: Ships with Ubuntu, Ollama, LibreChat, Docker, Llama, DeepSeek, Qwen, more on request
Runs 100% locally: No cloud fees, no rate limits, ever! Full data control, full privacy!
Scalable architecture: Upgrade GPUs, RAM, and storage on YOUR terms
Servers for all models and uses - Small-to-medium models, large models, training, multi-user / hosting, etc

🧠 Use Cases

Local models - DeepSeek, LLaMA, Mistral, Mixtral, Zephyr, Gemma, LLaVA, Neural Chat, Qwen, Devstral, more
MoE (Mixture of Experts) models, requiring loads of RAM
Add / Configure your own MCP severs / clients as desired
Stable Diffusion XL / ComfyUI workflows
RAG & embedding pipelines (LangChain, Chroma, vLLM)
In-house AI chat, summarization, and agents
Fine-tuning & Training — Axolotl, Unsloth, Kohya, LLaMA-Factory
Developer sandboxes for experimentation and tuning
See list of popular Ollama models here: https://ollama.com/library

🛠️ Custom builds available:
We’ll help you configure the ideal layout for your GPU mix, LLM targets, and power constraints.

📞 Contact us today to get a quote, or ask about consulting on your needs -

eRacks/AILSA

The eRacks/AILSA is the entry tier of the eRacks AI server line - a 2U rackmount workstation with 32GB total inference VRAM across two Intel Arc B50 16GB low-profile GPUs. Built on AMD Ryzen and AM5 with ECC UDIMM, AILSA runs 7-13B parameter language models comfortably for development, prototyping, and small-team RAG workloads.

Default config: 2x Intel Arc B50 16GB LP, AMD Ryzen 5 9600X, 64GB DDR5 ECC UDIMM, Ubuntu 26.04 LTS. Linux of your choice. Hardware you own.

Starting at $5995

eRacks/AIDAN

The eRacks/AIDAN packs 32GB of inference VRAM into a 2U rackmount workstation, powered by a single Intel Arc Pro B70 32GB GPU and an AMD EPYC server CPU. AIDAN is sized for individual ML engineers and small dev teams running 13-32B parameter models at full precision (or 70B with 4-bit quantization).

Default config: 1x Intel Arc Pro B70 32GB, AMD EPYC 9015 8-core, 64GB DDR5 ECC RDIMM, 500GB NVMe boot. Linux of your choice. Hardware you own.

Starting at $13895

eRacks/AINSLEY

The eRacks/AINSLEY brings 128GB unified inference VRAM to a 4U rackmount form factor at a mid-tier price point. Four Intel Arc Pro B70 32GB cards on a Threadripper PRO 7000 platform host 70-billion-parameter models with room for KV cache, request batching, and parallel users.

Default config: 4x Intel Arc Pro B70 32GB (128GB total VRAM), AMD Ryzen Threadripper PRO 7000 24-core, 128GB DDR5 ECC RDIMM, 4U chassis. Linux of your choice. Hardware you own.

Starting at $21995

eRacks/AISHA

The eRacks/AISHA is the flagship of the eRacks AI line - a 4U Supermicro SYS-421GE-TNRT barebone shipping with 128GB of unified inference VRAM across four Intel Arc Pro B70 32GB cards, expandable to 256GB total VRAM with four more cards in the same chassis. Built for production AI hosting: 70B-class models in full precision, 405B-class models with quantization, multi-tenant inference at scale.

Default config: 4x Intel Arc Pro B70 32GB (128GB total VRAM), dual Intel Xeon SP, 192GB DDR5 ECC RDIMM, quad 2700W Titanium redundant PSUs. Linux of your choice. Hardware you own.

Starting at $30995