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Technical data sheet

Models & hardware

Your model is created by fine-tuning an open base model: Qwen3.5-9B for size M, Qwen3.8-27B for size L. Fine-tuning runs in 8-bit precision (FP8); the model ships in NVFP4 (4-bit) for Blackwell cards and in BF16 for all other supported cards.

M

Balanced standard for most departments: broader knowledge base, more nuanced answers.

Base model
Qwen3.5-9B
Model size
9B
Data volume
ZIP upload up to 8 GB
What it can realistically do

The 9B model is the recommendation for one coherent area of the business with consistent language: one product area, one department, one set of rules. It summarises longer documents, writes emails, quotes and internal texts in your company's style, and answers questions across a larger knowledge base, including nuanced and ambiguous questions. It distinguishes stable company knowledge from day-to-day figures: it does not assert prices, stock levels or contact details; it points to the reliable source. Limits: for very large knowledge bases or particularly analytical tasks, the 27B is the right choice.

L

The largest model, for large knowledge bases and demanding questions.

Base model
Qwen3.8-27B
Model size
27B
Data volume
ZIP upload up to 16 GB
What it can realistically do

The 27B model is intended for companies that consolidate a lot of knowledge and need high answer quality. It works across very large document sets and keeps track over very long conversations and documents thanks to a native context of 262,000 tokens; it covers 201 languages. It suits tasks where an answer has to connect several threads. Limits: it is focused on your knowledge, not a universal model like the large cloud services; in return it runs entirely locally and belongs to you. Its hardware requirement is the highest.

Applies to both models: fine-tuned in FP8, shipped for your hardware in NVFP4 (4-bit) or BF16, and built on an Apache 2.0 base with full transfer of rights including a certificate of ownership.

Recommended hardware

The following NVIDIA systems serve as a guide for operation on your own hardware; our setup program checks your hardware and selects the right path for your model. You choose the hardware freely, or we plan and deliver your server, from these systems to individually designed HPC GPU servers.

Recommended

NVIDIA DGX Spark

GB10 Grace Blackwell Superchip

Our recommendation for most: compact as a book, quiet, sits on a shelf and carries your fine-tuned model with headroom.

AI performance
up to 1 petaFLOP (FP4)
Memory
128 GB unified (CPU + GPU, LPDDR5X)
Processor
20 Arm cores (GB10)
Concurrent users
small teams, approx. 5–15 active chats smoothly
Storage
4 TB NVMe
Networking
10 GbE, Wi-Fi 7, ConnectX-7 (200 Gb/s)
Multi-user
one shared instance
Form factor
150 × 150 × 50.5 mm, approx. 1.1 litres
More compute

NVIDIA DGX Station

GB300 Grace Blackwell Ultra Superchip

For substantially more compute: several teams, larger models, one device. Data-centre class in a tower under the desk.

AI performance
up to 20 petaFLOPS (FP4)
Memory
748 GB coherent (incl. HBM3e GPU memory)
Processor
72-core NVIDIA Grace
Concurrent users
entire departments, 100+ active chats smoothly
Storage
NVMe SSD, configuration-dependent
Networking
ConnectX-8, up to 800 Gb/s
Multi-user
up to 7 isolated instances (MIG)
Form factor
tower, liquid-cooled

User figures: concurrently active chats at our model sizes (9B–27B), conservatively estimated. The systems serve as a guide.

Prefer not to buy the hardware yourself? We deliver it ready-configured. Hardware from IonKon

Recommended hardware for local operation · IonKon