Open Source – eRacks Systems Tech Blog

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

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