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AI FactoryAI FactoryAI Factory – already hereThe AI Factory is no longer a concept — it’s a reality.
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NeoCloudNeoCloudAI Factory – already hereThe AI Factory is no longer a concept — it’s a reality.
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SolutionsSolutions
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CompanyCompany
Foundational model training
Unleash industrial-scale AI compute without compromise, training foundation models at sovereign scale on bare-metal GPU infrastructure with full hardware control and industrial-grade performance. Build trillion-parameter models, optimize large datasets, and iterate faster on GPU clusters purpose-built for AI.
Industrial-scale
GPU clusters
A private GPU cloud built for foundation model training, with thousands of NVIDIA GPUs connected through high-speed interconnects and scalable from small prototypes to 100K+ GPU deployments.
Direct hardware control
Workloads run directly on the hardware, without virtualization overhead, enabling full configuration control and consistent, predictable performance for large-scale training.
Sovereign infrastructure
Data, compute, and orchestration stay fully within your control, operating in compliant regions with strict boundaries around data residency, security, and intellectual property at all times.
01
Plan & architect
Together with specialists, the required GPU setup is defined based on model size, dataset characteristics, and the chosen parallelism strategy. This results in a tailored cluster design that balances performance, scalability, and cost efficiency.
02
Provision bare-metal clusters
Dedicated GPU hardware is deployed with the latest accelerators, high-bandwidth interconnects, and essential training frameworks. With direct bare-metal access, teams can start training immediately, without virtualization layers affecting setup or performance.
03
Run & optimize training
Training runs with full hardware control, using preferred schedulers such as Slurm, Kubernetes, or custom solutions. GPU utilization, network throughput, and training progress are continuously monitored and optimized throughout execution.
04
Evaluate, iterate & deploy
Trained models are evaluated against benchmarks or custom metrics, refined through fine-tuning, and prepared for production. Once validated, models are deployed to inference clusters or integrated into downstream pipelines.
Reduces latency and variability
Increases usable GPU throughput
Improves cost predictability
16
x
faster*
50
%
cheaper*
The AI Factory advantage
With bare-metal access to sovereign GPU infrastructure and tooling designed for industrial-scale training, the AI Factory is where foundation models are born and hardened. From research to production-grade models, it provides the performance, control, and governance modern AI builders demand.
