Sheet 01Version 5db82d6 · 11/13/2026 · all Rust

Local AI is an archipelago. This is the continent.

LexiSuite is everything needed to run AI models on hardware you own, built as one system: an inference engine measured faster than llama.cpp on large models and long contexts, the control panel that runs the whole machine, an OS that boots from a USB stick, and a kernel designed around inference. One codebase. Nothing in the cloud.

Free for private, research and educational use · $100 per instance per year commercially

Sheet 02Measured, not claimed

Watch it outrun llama.cpp.

Both lanes stream text at the speed each engine measured on the same Radeon RX 7900 XTX, with the same model file and the same settings: the 27B cases on 11/13/2026 against llama.cpp release b12318, the others on 11/10/2026 against release b12230. Pick a case. One of them is a case we lose.

LexiEngine
generation after the first token
llama.cpp
Vulkan, flash attention
253ktokens of context answered by a 27B model on one 24 GB card. llama.cpp b12318 lost the device before 134k, twice in two attempts.
+48%generation ahead of llama.cpp at 509,000 tokens deep, and prompts processed almost twice as fast.
1.92Mlines of Rust in 340 crates: kernel, OS, engine and Panel in one codebase.
16,395tests. About 4,200 of them exist to prove that something is refused.

Sheet 03Why nothing else is like it

Every layer, one maker.

Running models on your own hardware normally means assembling an inference server, a chat front end, a Linux distribution, a hypervisor, quantization and training scripts and monitoring, each from a different project. You are the ferry between the islands. LexiSuite is every one of those layers, built to the same rules, tested together and shipped as one image.

LayerNormally assembled fromIn LexiSuite
Inference enginellama.cpp, Ollama, vLLM, LM StudioLexiEngine. Original Rust engine with its own GPU kernels, not a wrapper. llama.cpp can be installed beside it from the Panel, so you can repeat every comparison yourself.
Control and chatOpen WebUI, a dashboard, SSHLexiPanel. One authenticated GUI for every operation on the machine, from the first model download to the GPU's power cap.
Operating systemUbuntu, Debian, ProxmoxLexiOS. Boots straight into the Panel. Firewall verified at boot, signed updates with rollback, a self-test on every start.
KernelLinux, general purposeLexiKernel. Rust, Linux ABI, inference-first scheduling. Linux 7.4 is the other boot entry on the same stick.
APIsWhatever the server offersOpenAI Chat, Completions and Responses, Anthropic Messages, embeddings, rerank, and typed decisions that return a probability for every option.
TuningHand-edited flags, forum postsBenchmarks against a reference engine, an optimizer that keeps only measured winners, and re-quantization to fit the card you have.
Training and VMsPython environments, QEMULoRA fine-tuning from the Panel, and a safe-Rust virtual machine monitor with GPU passthrough.

Sheet 04The platform

Four territories, one border.

Plate I

LexiEngine

Ahead of llama.cpp on large models

Our own Rust inference server: GGUF models on Vulkan (AMD, Intel, NVIDIA), CUDA and CPU. Speculation for greedy and sampled requests, contexts up to 1,048,576 tokens, no memory budget to set. Serves Qwen3, Qwen3.5 and 3.8, Gemma 4 and DeepSeek-V2.

Plate II

LexiPanel

Release candidate

Model library and downloads, instances per GPU, chat, benchmarking and auto-tuning, fitting, training, GPU tuning and power caps, statistics, crash evidence, files, a terminal, users and API keys, fleets and virtual machines. One page, tabs across the top.

Plate III

LexiOS

Release candidate

An appliance OS on Linux 7.4 that boots from a USB stick straight into the Panel. First-boot setup from a browser, Secure Boot with a development certificate, and a self-test that says what it could and could not prove.

Plate IV

LexiKernel

Boots real hardware

A Rust kernel with a Linux ABI: inference-first scheduling, VRAM admission, an IOMMU required by design. It has booted a real laptop from USB and served the Panel to another machine. Its own driver now starts a physical RX 7900 XTX as far as running a command buffer with an interrupt-delivered fence; GPU inference still goes through a Linux guest.

It is developed every day by its author as their own primary AI platform.

Sheet 05The Panel

The whole machine, in one page.

Every picture is the real Panel. Open the live demo and click through it yourself.

The Panel's Status tab: a 27-billion-parameter model serving on a Radeon 7900 XTX beside a second instance on an RTX 2060, with live throughput.
StatusWhat is running on which card, live.
The Optimize tab's results: measured candidates and the one that was kept.
OptimizeSettings are kept only when a measurement says so.
The GPU tuning tab: clocks, voltage and a power cap for the card.
GPUClocks, voltage and power caps per card.

Sheet 06Get there

A USB stick, a browser, a model.

Download

Take the image from the download page: one image of about 350 MB that carries the kernel, the OS, the engine and the Panel. No account, no licence key.

Write and boot

On Linux one command checks the image, writes it and reads it back: sudo bash install-to-usb.sh. On Windows or macOS use any image writer. Boot the PC from the stick.

Open the Panel

The machine's screen shows an address. Open it from any browser on your network, create the administrator, download a model and chat, or point an OpenAI or Anthropic client at it.

Sheet 07Surveyed and unsurveyed

What is proven, and what is not.

Proven

  • Ahead of llama.cpp b12318 on a 27B model at a 262,144-token context at every depth measured (11/13/2026): generation 17% to 25% faster and prompts read 27% to 29% faster up to 33,000 tokens, and 134,000-token and 253,000-token prompts answered where llama.cpp lost its device. Ahead of b12230 on a 9B model at a 524,288-token context at every depth (11/10/2026).
  • The test set on the source of the current image (5db82d6), 11/13/2026: 4,154 engine, 568 server, 2,346 Panel, 1,611 LexiOS and 1,730 LexiKernel tests, 0 failed, and the 149 CUDA kernel comparisons on an RTX 2060. The engine and Panel compiled for Windows and Apple silicon with no errors on 11/12/2026 (compile check only).
  • The USB image passed every boot of its virtual-machine qualification, including refusing a tampered kernel.
  • LexiKernel’s own driver started a physical RX 7900 XTX up to a command buffer whose completion arrives by interrupt.
  • LexiKernel’s own driver started a physical RTX 2060: the card’s firmware runs, a command channel is accepted, and its copy engine copied a page correctly (11/12/2026, bring-up build).
  • LexiKernel booted a real laptop from USB and served the Panel to another machine.
  • LexiKernel booted a Ryzen desktop (MSI X570, Ryzen 9 5900X) from USB on 11/12/2026: both NVMe drives and the 2.5G Realtek card bind, the Panel is served to another machine, and the USB keyboard works on the local console.
  • LexiEngine served a 27B model at a 200,000-token context to an agent application on another machine, tool calls included.

Not yet

  • Short prompts on small models: llama.cpp is still about 14% ahead on DeepSeek-V2-Lite.
  • The Secure Boot image on a physical Secure Boot PC.
  • GPU inference on LexiKernel without its Linux driver guest: its own XTX driver has not run a shader yet.
  • This week's engine work measured on the RTX 2060.
  • The RTX 2060 under LexiKernel beyond a copy job: no graphics or compute context, no shader, no model on that card yet.
  • Windows and macOS: nothing has been linked or run there yet.

Support the project

Keep it free for everyone else.

LexiPanel is free for private, research and educational use, and it stays that way. Supporter packs fund the work — and every one of them ships you real seed from Black Pine Genetics.

Supporter

3 random seed packs

Three full packs of Black Pine Genetics seed, selected at random from current stock and shipped to you.

Supporter · Plus

5 random seed packs

Five full packs, selected at random from current stock and shipped to you. The best value per pack.

Supporter · Patron

10 random seed packs

Ten full packs, selected at random from current stock and shipped to you. The deepest support tier.

Commercial licence

Per instance, per year

Required for commercial deployment. Free for private, research and educational use — nothing to buy and nothing to register. There is no licence key and no activation: licensing runs on the honour system. Includes no physical goods.

Supporter packs include physical goods shipped from Black Pine Genetics and are available to adults 21 and over only, in jurisdictions where such seed may lawfully be sold and received. Seed selection is random and cannot be chosen.

Sheet 08Licence

Free to use. Fair to sell on.

Free for private, research and educational use. Commercial use is $100 per instance per year, which includes support and priority fixes for problems specific to your hardware. No licence keys and no usage checks: commercial users are trusted to buy what they use. White-label is available under the commercial licence. The source code is proprietary.

Private, research, educationFree
Commercial$100 / instance / year
Licence keys, activationNone
RunsOn-prem, air-gapped, your cloud