Fully Managed Containerized ML at Scale
RedFort Tech Managed Kubernetes delivers high-performance, GPU-powered clusters purpose-built for machine learning, deep learning, and AI workloads. Deploy your private Kubernetes cluster in minutes—not months. We provision, configure, and optimize your environment with the latest CUDA, NVIDIA, and Kubernetes integrations—then hand over full kubectl access so you stay in control while we handle uptime, scaling, and security.
Key Features
Single-tenant clusters preconfigured with CUDA, NVIDIA Container Toolkit, and ML frameworks. High-availability control-plane VMs with GPU worker nodes running directly on bare metal.
Native Kubernetes scheduling optimized for GPU workloads. Automatic resource detection ensures pods are deployed on the right GPU types without manual tuning.
Expand or contract GPU nodes in minutes through the RedFort Tech Cloud Console or via API—perfect for burst training and dynamic workloads.
Comprehensive monitoring, metrics, and logs are built in. Visualize workload health and GPU utilization across your cluster in real time.
Isolated VPC deployment with RBAC, SSO federation, and encrypted networking for maximum data protection and compliance readiness.
Get real engineer-to-engineer support (9×5) and 24×7 hardware escalation from Kubernetes and CUDA specialists—not chatbots or ticket loops.
Use Cases
Large Model Inference
Run massive models with predictable latency. Optimize for throughput, batch size, and performance per watt.
Generative AI applications for text, image, and audio.
Scaling ML infrastructure as your customer base grows.
Why RedFort Tech Managed Kubernetes
Purpose-engineered GPU infrastructure, zero DevOps overhead, and transparent technical support. We streamline deployment so your teams can train, fine-tune, and deploy AI models faster, scaling effortlessly as your operations grow.
