AI Model Training on NVIDIA B200

Orion AI Training is a high-performance environment for training large AI models, designed for teams that require speed, stability, and full control over compute resources.

Why Orion AI Training

Training large AI models is a costly and resource-intensive process. Every hour of slow or constrained training translates into lost time, wasted energy, and increased budget consumption.

With most global cloud platforms:

• GPU resources are shared
• performance is software-throttled
• access to the latest hardware is region-restricted

Orion AI Factory is built to remove these limitations.

Bare-metal Blackwell performance

Within Orion AI Factory, models are trained on dedicated NVIDIA DGX B200 nodes, with no resource sharing and no throttling.

This delivers:

• full GPU performance per training job
• predictable and stable throughput
• efficient distributed training at scale

Powered by the Blackwell B200 architecture, training workloads can run up to 3x faster compared to the previous generation (H100).

Why you shouldn't wait for global cloud regions

Many teams in the region:

wait months for access to new hardware
receive older GPU models
operate under limited quotas

With Orion AI Factory, you get:

priority access to Blackwell infrastructure
full resource availability
local support and operational control

Train today - not "when the region becomes available."

Training cluster architecture

The training environment is designed for stability and scalability:

NVIDIA DGX B200 systems

400Gbps InfiniBand network infrastructure

Kubernetes orchestration

Run: AI scheduling for optimal GPU resource allocation

Support for multi-node and large-scale training

Usage models

Consumption-based

For short-term training and testing. Pay by the hour, with no commitments.

Reserved resources

Reserve GPU capacity for a one-year period. Lower cost and guaranteed availability.

Dedicated cluster

Monthly lease of assigned GPU nodes. Ideal for organizations with continuous AI training workloads.

Who this training is for

Teams training LLMs and foundation models

Growing AI startups

Enterprise and research centers

Organizations with large datasets and regulatory requirements

If training time is critical for you - this is the infrastructure for your AI workloads.

Sovereign storage for AI models and containers

Your AI models, Docker images, and pipelines are critical intellectual property. Orion AI Factory provides a private, sovereign container registry, located directly next to compute and inference resources. Key benefits:

Zero latency access

Local NVMe storage enables model loading in seconds

Security and access control

Registry available only within the AI Factory environment

IP protection

No exposure to public container registries

NVIDIA NGC proxy cache

Faster access to NVIDIA models and frameworks

Built for CI/CD and MLOps

No data ever leaves the infrastructure

Your models remain fully protected, instantly available, and under your complete control.

Train models without limits and without waiting.

Launch a cluster Move straight to model production

Train models at a speed that makes a difference.