Run AI Infrastructure
Without DevOps Overhead
Nucleaton™ is a turnkey AI infrastructure orchestration platform for GPU-heavy workloads. Deploy, operate, and monetize AI clusters in minutes without dedicated DevOps or HPC teams.
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 platformfor GPU-heavy workloads that enables teams to deploy, operate, and monetize AI clusters without dedicated DevOps or HPC expertise. 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.
Nucleaton™ removes the bottleneck of manual infrastructure management for high-growth AI builders.
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. We eliminate the "Headcount Tax" by allowing you to operate complex GPU estates without the overhead of an expensive internal HPC engineering team.
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.
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