One platform to operate the full AI lifecycle
training · inference · agents
Nucleaton™ gives infrastructure teams one system to operate the full AI lifecycle—from resource scheduling and cluster operations to production inference and agents—while you keep control of your infrastructure, policies, and data.
Turnkey GPU Cluster Management
A unified software layer designed to eliminate the complexity of manual hardware management.
Large-Scale Training & Inference
Purpose-built orchestration for deep learning models and high-throughput model serving.Automated Fault Management
Real-time hardware telemetry that automatically isolates faulty nodes to prevent job crashes and wasted compute hours.Dynamic Resource Allocation
Instantly reallocate compute between training cycles and inference endpoints to eliminate idle GPU waste.GPU Management Across Every Workload
Nucleaton™ is a turnkey AI infrastructure orchestration platform for GPU-heavy workloads that enables teams to deploy, operate, and monetize AI clusters. It unifies scheduling, observability, access control, and usage-based cost attribution into a single control plane designed for training, inference, and large-scale experimentation on GPU clusters.
AI Companies
Accelerate Time-to-Inference. Stop burning seed capital on infrastructure engineering. Launch models on production-grade stacks immediately.
Data Centers
Maximize Compute Monetization. Convert idle hardware into revenue-generating AI-as-a-Service (AIaaS) with multi-tenant isolation.
Enterprises
Private Cloud Sovereignty. Deploy secure, on-premise AI workloads with built-in audit logs and cost attribution.
Infrastructure Built for the GPU Budget
While standard cloud tools manage general-purpose VMs, Nucleaton™ is engineered for the high-stakes reality of AI compute. Nucleaton™ automates cluster operations and workload execution while your infrastructure team decides what runs, where it runs, and what gets priority.
By providing granular cost attribution and hardware-agnostic resilience across AWS, private clouds, and on-premise servers, we turn unpredictable infrastructure spend into a predictable operational cost.
Many AI clusters operate at less than 50% capacity when not actively training, leading to costly inefficiencies. C-Gen.AI mitigates this by dynamically allocating idle compute power for inference workloads, ensuring that AI resources are continuously utilized rather than sitting idle."
Sami Kama, CEO, C-Gen.AI
FAQs
Insights, expertise, and vision driving the next generation of AI solutions
Maximize your RoI on AI infrastructure
Stop managing infrastructure and start scaling. Request a live demo of Nucleaton™ today.
Led by a world-class team.
Nucleaton is built by engineers who have run large-scale AI training and inference systems in production.
- 17 years at CERN
- Inventor, TensorFlow-TensorRT Integration (NVIDIA)
- Inventor and Architect, AWS SageMaker
- Inventor and Architect, AWS SageMaker Hyperpod
- Creator, world's first distributed AI profiler, Sagemaker Profiler
- Former Head of HPC & MLOps, Stability AI
- Managed one of the world's largest AI training clusters
- Co-Founder & Engineering Lead, LAION
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