eRacks Systems Tech Blog
Open Source Experts Since 1999
Private AI Servers, Restructured: The New eRacks Good, Better, Best Ladder
We have restructured the eRacks private AI server line into a clear Good, Better, Best ladder. The goal is simple: whatever size model you want to run, there is one obvious system for it, at a price that reflects what is actually inside the box. Prices on the mid-tier dropped substantially from the old line, because the new systems use current-generation parts and are sized honestly for the work.
First, the framing. Private AI means running large language models (LLMs, the software behind AI assistants) on hardware you own, inside your own building. Your prompts, your documents, and your model outputs never touch a cloud provider. You buy the system once, and there are no per-seat or per-token fees afterward. Every system in the line is air-gap ready (able to operate with no internet connection at all), which matters for legal, medical, financial, and government work.
Good: AILSA 2U, from $5,995
The AILSA is the entry point. It is a 2U system (a U is 1.75 inches of rack height) assembled, burned in, and certified by eRacks, with Intel Arc GPUs (graphics processing units, the chips that run AI models). The base build carries two Arc B50 low-profile cards for 32GB of VRAM (the GPU’s onboard memory, which holds the model), with larger Arc Pro options available in the configurator. It handles 70B-class models (roughly 70 billion parameters), which covers most private chat, coding, and RAG workloads (retrieval-augmented generation, where the model answers from your own documents).
Better: AISLING 4U, from $16,995
The new AISLING is the workhorse of the line. It pairs a 24-core AMD Threadripper 9960X with 128GB of ECC memory (error-correcting code memory, which detects and fixes memory errors) and a single 1600W power supply. The 4U chassis takes up to three dual-slot GPUs, which means 96GB of total VRAM with Intel Arc Pro B70 cards. That is enough headroom to run a 70B-class model at higher precision, serve more simultaneous users, or hold longer context windows.
Best: AILEEN 4U, from $21,995
The new AILEEN steps up to server-class silicon: a 32-core AMD EPYC 9355 with 12 memory channels and 192GB of ECC memory. The extra memory bandwidth feeds the GPUs and speeds up CPU-side work like document indexing. It takes up to four GPUs for 128GB of VRAM, and it has redundant 1+1 power (two supplies, either one can run the system alone). AILEEN also ships in custom colors: blue, black, white, or red. The blue unit is the one pictured here.
| Model | Form factor | GPU memory (VRAM) | From |
|---|---|---|---|
| AILSA | 2U | 32GB base, larger Arc Pro options | $5,995 |
| AISLING | 4U | up to 96GB (3 x Arc Pro B70) | $16,995 |
| AILEEN | 4U | up to 128GB (4 GPUs) | $21,995 |
The enterprise tier
Some buyers need validated OEM server systems rather than our eRacks-Certified workhorse builds, usually because their ops teams require out-of-band management (a dedicated channel for remote hardware control, such as IPMI, that works even when the operating system is down). For them, the AIDAN 2U EPYC starts at $13,895, and the AISHA 4U starts at $30,995 with support for up to 10 GPUs.
What every system includes
All five models ship with Ubuntu LTS and the open-source AI stack pre-installed: Ollama, Open WebUI, vLLM, llama.cpp, and PyTorch. Each unit is burned in (run under sustained load before shipping) and tested. You get browser access to your own models on day one: unbox, rack, log in.
Not sure which tier fits? Start with our private AI sizing guide, which walks through how much GPU memory and system RAM a given model actually needs. Then configure the system that matches.
joe July 5th, 2026
Posted In: AI Servers, News
Tags: AI server, AMD EPYC, AMD Threadripper, GPU server, Intel Arc Pro, Ollama, open source AI, private AI, self-hosted LLM, vLLM
Introducing the eRacks AI Server Lineup: RAM-First Local AI for the Real World
You Want Local AI
Tired of cloud AI bills that keep climbing? Worried about sending sensitive data to third parties? Want to run the latest open-source LLMs like DeepSeek, Llama, Mixtral, or Qwen — on your own hardware?
We’ve been getting a lot of questions about AI servers lately, so we’re excited to officially announce our RAM-optimized AI Rackmount Server lineup — four models designed from the ground up for local-first AI computing.
The Big Idea: RAM > GPU Hype
Here’s something the big vendors don’t want you to know: for many AI workloads — especially LLM inference, RAG pipelines, and vector search — total system RAM matters more than having the flashiest GPU.
Why? Because large language models need to fit somewhere. If your model doesn’t fit in VRAM, it spills into system RAM. If it doesn’t fit there, you’re swapping to disk — and that’s game over for performance.
Our servers are built around this insight. We focus on massive RAM capacity combined with COTS (Commercial Off-The-Shelf) GPUs — the cards you can actually buy, at prices that won’t require board approval.
Meet the Family
So far, we’ve got four models, each named after Celtic / Gaelic names that happen to start with “AI” (we couldn’t resist):
Model Form Factor Max RAM GPUs Starting Price Sweet Spot
eRacks/AILSA 2U 512GB Up to 3 (LP) $4,995 SMBs, solo devs, 200-600B+ models
eRacks/AIDAN 2U 3TB Up to 3 $9,995 Small teams, 800B+ models, RAG
eRacks/AINSLEY 4U 2TB Up to 4 $14,995 R&D, training, fine-tuning
eRacks/AISHA 4U 6TB Up to 8 $19,995 Enterprise, hosting, all MoE models
eRacks/AILSA — The Entry Point
“Affordable Innovative Local Server for Artificial Intelligence” 😄
AILSA is our compact 2U starter — perfect for startups, researchers, and developers who want local AI without the sticker shock. With up to 512GB RAM and 3 low-profile GPUs (Intel Arc B50 or NVIDIA RTX 5060 LP), it punches well above its weight class for inference workloads.
Best for: Private chatbots, development sandboxes, entry-level RAG, running 600B+ parameter models locally.
eRacks/AIDAN — “The RAMstack”
AIDAN steps up to Dual AMD EPYC processors and up to 3TB of DDR5 ECC RAM. This is the machine for teams doing serious vector search, RAG pipelines, or serving LLMs to multiple users.
Best for: Small-to-medium teams, 800B+ models, retrieval-augmented generation, production inference.
eRacks/AINSLEY — The R&D Workhorse
Our 4U Threadripper-based system with up to 4 full-size GPUs and 2TB RAM. AINSLEY is built for the folks who need to train, fine-tune, and experiment — not just run inference.
Best for: Research labs, AI/ML startups, fine-tuning on private datasets, local experimentation.
eRacks/AISHA — The Beast
“Advanced Intelligent Server for High-RAM AI”
When you need to go all-in: up to 6TB RAM, up to 8 GPUs, and dual Intel Xeon or AMD EPYC processors. AISHA handles the largest MoE (Mixture of Experts) models, multi-tenant deployments, and enterprise-scale AI infrastructure.
Best for: Enterprise hosting, 800B+ models, multi-user deployments, running every MoE model out there.
Why Local? Why Now?
A few reasons we’re seeing massive demand for on-prem AI:
Privacy — Your data never leaves your building
Cost control — No per-token fees, no surprise bills
No rate limits — Run as many queries as your hardware can handle
Model freedom — Run any open-source model: Llama, DeepSeek, Mistral, Qwen, Gemma, and more
Customization — Fine-tune on your own data without uploading it anywhere
100% Open Source Ready
All our AI servers ship with Ubuntu and Ollama pre-installed, plus your choice of models (Llama, DeepSeek, Qwen, etc.). We also support custom preconfigurations:
• PyTorch, TensorFlow, JAX
• Hugging Face Transformers
• LangChain, vLLM, LM Studio
• OpenWebUI, LibreChat
• Milvus, Chroma (vector databases)
• Docker / Podman for containerized workflows
And of course — Rocky Linux, Fedora, Debian, or whatever distro you prefer. It’s your hardware.
COTS GPUs: No Vendor Lock-In
We spec readily available GPUs — NVIDIA RTX 30×0/40×0/50×0 series, professional A-series cards, Intel Arc, and AMD options. No waiting 6 months for an allocation. No $30k price tags for a single card. Swap, upgrade, or scale on your terms.
Ready to own your AI stack?
👉 Check out the full AI Server lineup – eracks.com/products/ai-rackmount-servers/
👉 Contact us for a custom quote
We’re happy to help you figure out the right balance of RAM, GPU, and storage for your specific workloads. That’s what we do.
Get Started: eRacks.com/contact
j
joe January 17th, 2026
Posted In: AI, Deep Learning, LLM, Local AI, Ollama, Open Source, Rackmount Servers, RAG, Technology
Tags: AI, Deep Learning, DeepSeek, EPYC, eRacks, eRacks Partner, GPU, Llama, LLM, Local AI, Machine Learning, Ollama, Open Source, Rackmount Servers, RAG, Threadripper