DevOps Services
Infrastructure, automation, and monitoring tailored for AI and high-performance computing
Custom GPU & AI Task Monitoring
We design and deploy advanced monitoring solutions specifically for NVIDIA GPU workloads, capturing GPU temperature, utilization, memory usage, and AI job status with real-time dashboards and alerts.
CI/CD for Machine Learning
Implement automated training, model testing, versioning, and deployment pipelines with tools like GitHub Actions, GitLab CI, MLflow, and Kubernetes operators.
Infrastructure as Code
We automate cloud and on-prem environments using Terraform, Ansible, and Helm — making deployments reproducible, scalable, and consistent across teams.
GPU Cluster Orchestration
Deploy and manage GPU-enabled clusters using Kubernetes or Slurm for AI/ML training and inference at scale — including NVIDIA Docker and MIG support.
Containerized Environments
Create lightweight and reproducible environments with Docker and Podman, optimized for deep learning toolchains like PyTorch, TensorFlow, or CUDA-based applications.
Remote Deployment & Secure Access
Set up robust remote access to HPC nodes, private GPU servers, or cloud-based instances with SSH tunneling, VPNs, and reverse proxies like NGINX for seamless and secure operations.