Domyn builds Colosseum 355B, a sovereign AI foundation model, using NVIDIA DGX Cloud
Domyn (formerly iGenius), an Italian AI company serving highly regulated sectors such as financial services and public administration, used NVIDIA DGX Cloud with over 3,000 NVIDIA H100 GPUs to continue-pretrain Colosseum 355B, a 355-billion-parameter foundation LLM. Within one week Domyn had access to the dedicated infrastructure, and within two months completed continued pretraining, achieving 82.04% accuracy on the MMLU benchmark. The model powers Domyn's business intelligence agent, Crystal, a sovereign AI solution deployed on private infrastructure.
Overview
Domyn (formerly iGenius), an Italian AI company serving highly regulated sectors such as financial services and public administration, used NVIDIA DGX Cloud with over 3,000 NVIDIA H100 GPUs to continue-pretrain Colosseum 355B, a 355-billion-parameter foundation LLM. Within one week Domyn had access to the dedicated infrastructure, and within two months completed continued pretraining, achieving 82.04% accuracy on the MMLU benchmark. The model powers Domyn's business intelligence agent, Crystal, a sovereign AI solution deployed on private infrastructure.
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Inspect the highlighted sourceThe challenge
Domyn aimed to develop a state-of-the-art foundational LLM within a tight timeline but faced challenges accessing large-scale GPU clusters (thousands of GPUs) and securing support for highly scalable training frameworks.
The solution
Domyn collaborated with NVIDIA to build Colosseum 355B using NVIDIA DGX Cloud infrastructure with over 3,000 H100 GPUs on a dedicated, high-bandwidth RDMA-based network with 500 TB of Lustre-based high-performance storage and the NVIDIA NeMo Framework. Domyn used continued pretraining (CPT) in FP8 precision via NeMo Framework's Transformer Engine, followed by supervised fine-tuning and Direct Preference Optimization (DPO) using NVIDIA NeMo Aligner. The model powers Domyn's business intelligence agent, Crystal, a sovereign AI solution built as an end-to-end stack including database integration, AI-assisted configuration, LLM-powered orchestration for tool usage, query execution and generation, and private deployment infrastructure.
Reported business value
In less than one week, Domyn had access to dedicated large-scale infrastructure with over 3K GPUs, and within two months had completed continued pretraining for Colosseum 355B, achieving 82.04% accuracy on the MMLU benchmark in a 5-shot setting. By optimizing training configuration, Domyn improved Model FLOP/s Utilization (MFU) from an initial 25% to 40% in BF16, and accelerated the overall training step 1.15x by moving to FP8.
Sources
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