New: GPU servers launch in minutes; A100, H100 and RTX 4090 in stock

Model training

We train your model on your data, on our GPUs

LLM fine-tuning, image model training, embedding models for enterprise search: the Oxisec team runs it from data preparation to deployment, and training runs on our H100 and A100 class servers. The model is yours.

  • Model weights and all outputs are handed over to you.
  • No data is sent to third-party AI services.
H100 80 GB Large model training and multi-GPU jobs
A100 80 GB Fine-tuning and long training runs
RTX 4090 24 GB Image models and quick experiments
NVLink · NVMe Parallel training, fast data flow

Services

What do we train?

We start from open-weight models, shape them with your data and measure with your own test set.

LLM fine-tuning

We fine-tune open models such as Llama, Qwen and Mistral on your data (LoRA, QLoRA, full SFT). It learns your company’s language, documents and rules.

Enterprise search and RAG

We train an embedding model and re-ranker for your documents and build a secure question-answering layer.

Image and video models

We train models such as Stable Diffusion and Flux for your products or brand; LoRA and DreamBooth pipelines.

Classification and prediction

Small, fast models for jobs like spam scoring, document classification and demand forecasting.

Evaluation and safety

We measure the model with your test sets, run hallucination and data-leak tests and report the results.

Deployment

We serve the trained model as an API on our GPU server or hand it over with its weights to your environment.

Hardware

Where does training run?

Multi-GPU servers, high-bandwidth memory and fast NVMe storage. The same infrastructure for a one-hour fine-tune and for training that takes days.

Process

From data to a working model

  1. Data preparation

    We collect, clean, label the data together and mask personal data.

  2. Training

    Experiments run on our GPU servers; we share each run’s metrics with you.

  3. Evaluation

    We measure with your own test set; we do not deploy before the target is met.

  4. Deployment and upkeep

    API or hand-over; if you wish, Oxisec EYE keeps watching the model’s quality and cost.

Data security

Your data and your model belong to you

  • Training data is kept in an isolated environment and deleted when the project ends.
  • Model weights and all outputs are handed over to you.
  • No data is sent to third-party AI services.
  • An NDA and a data processing record are standard.

Two ways

Let’s talk about your model

Describe your dataset, goal and timeline; we come back with scope, GPU time and a quote.