AI & GPT 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 |
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eRacks/AILSA | 2U | Up to 3 | Ryzen | 512GB | SMB, Small office, Solo devs, up to 200B LLMs, Whisper, SD NOW AVAILABLE |
eRacks/AIDAN | 2U | Up to 3 | up to 2 EPYC | 3TB | SMB, Med office, small dev teams, up to 700B LLMs, MoE, Training COMING SOON |
eRacks/AINSLEY | 4U | Up to 4 | Threadripper | 2+TB | Local high-usage, R&D teams, 671B+ models, training, fine-tuning, MoE NOW AVAILABLE |
eRacks/AISHA | 4U | Up to 8 | Up to 2 Xeon or 2 Epyc | 6TB | Hosting, 671B+ LLMs, RAG, Training, local agents, all MoE models, more NOW AVAILABLE |
✅ Key Features
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RAM-first design: Keep large models in-memory
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COTS GPUs: Compatible with RTX 3090/40x0/50x0, A4000–A6000, Intel High-RAM budget GPUs (COTS=Common Off-The-Shelf)
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Open-source ready: Ships with Ubuntu, Docker, Ollama, LibreChat, more - Custom software / models on request, such as koboldcpp
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Runs 100% locally: No cloud fees, no rate limits, ever! Full data control, full privacy!
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Scalable architecture: Upgrade GPUs, RAM, and storage on YOUR terms
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Servers for all models and uses - Small-to-medium models, large models, training, multi-user / hosting, etc
🧠 Use Cases
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Local models - DeepSeek, LLaMA, Mistral, Mixtral, Zephyr, Gemma, LLaVA, Neural Chat, Qwen, Devstral, more
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MoE (Mixture of Experts) models, requiring loads of RAM
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Add / Configure your own MCP severs / clients as desired
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Stable Diffusion XL / ComfyUI workflows
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RAG & embedding pipelines (LangChain, Chroma, vLLM)
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In-house AI chat, summarization, and agentst
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Training - Kohya, others
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Developer sandboxes for experimentation and tuning
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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 a 2U rackmount AI server engineered for startups, researchers, and developers who want local-first AI computing without the extreme costs of datacenter-class GPU systems.
With massive RAM capacity and support for up to 3 low-profile, high-RAM GPUs, eRacks/AILSA is an affordable, compact, and powerful platform for running open-source AI frameworks, LLMs, and vector databases — all on your own hardware.
Although our naming convention for our AI servers is based on Celtic / Gaeilic names starting with AI, if you really want an acronym, here it is:
Affordable Innovative Local Server for Artificial Intelligence :-D

eRacks/AINSLEY
Chassis: eRacks/4U-GPGPU
Power Supply: 1500W+ PSU 80+ Gold
Motherboard: eRacks-certified AMD Ryzen Threadripper PRO motherboard
CPU: AMD Ryzen Threadripper PRO 5000/7000 series CPU
Memory: 8x 64GB DDR4 ECC/REG 512GB Total RAM
GPUs: 4x nVidia RTX 3090 / 40x0 / 50x0 GPUs
Hard Drives: 2x 18TB 3.5" 7200RPM hard drives:
- 36TB raw storage
- 18TB Usable storage, when Mirrored
OS Drive(s): 2x SSD or M.2 500GB-class, Mirrored
Network Interfaces: 2x 10GbE Intel Network Ports, RJ45
Operating System: Ubuntu Linux LTS
Warranty: Standard 1yr full / 3yr limited warranty, 5yr Manufacturer's HDD Warranty
AI Software: Ollama installed, Llama & Deepseek models, OpenWebUI, others on request

eRacks/AISHA
Meet eRacks/AISHA The Smarter AI Server for Real Workloads.
Tired of AI servers that cost more than your car and come preloaded with GPUs you can’t upgrade, don’t need, or can’t even buy? Meet eRacks/AISHA, a new kind of rackmount AI server—designed for developers, researchers, and AI engineers who value real memory, practical performance, and open-source flexibility over hype.
🧠 Big Brain, Not Big Budget
eRacks/AISHA is built to handle modern AI workloads—especially large language models (LLMs) and memory-intensive inference—by focusing on total system RAM, not just raw GPU horsepower. That means fewer compromises, less swapping, and better performance on workloads that demand fast access to massive in-memory datasets.
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