The Backbone of Intelligent Apps
Great models need great infrastructure. We design, build, and manage the high-performance computing environments required to train, fine-tune, and serve AI models at scale.
Reliability for AI Workloads
Running AI in production is different from running a web app. It requires specialized hardware (GPUs/TPUs), massive data throughput, and low-latency inference. Without optimized infrastructure, costs can spiral out of control and performance can suffer.
We implement MLOps (Machine Learning Operations) best practices to automate the lifecycle of your models. From data versioning to automated retraining pipelines, we ensure your AI systems are reproducible, robust, and easy to maintain.
At Devionary, we help you navigate the cloud landscape. Whether you need a serverless setup for sporadic workloads or a dedicated Kubernetes cluster for high-traffic inference, we architect the right solution for your budget and performance goals.
Our Infrastructure Services
MLOps Implementation
Building CI/CD pipelines for machine learning. Automating model training, testing, and deployment to production.
Model Serving
Deploying models as scalable APIs using technologies like TensorFlow Serving, TorchServe, or NVIDIA Triton.
GPU Cloud Management
Optimizing cloud resources (AWS EC2, Google Cloud TPUs) to maximize performance while minimizing costs.
Model Monitoring
Tracking model performance in real-time. Detecting data drift and accuracy degradation to trigger retraining.
Edge AI Deployment
Optimizing models (quantization, pruning) to run efficiently on edge devices like mobile phones or IoT sensors.
Feature Stores
Implementing centralized repositories for ML features to ensure consistency between training and inference.
Infrastructure tech stack
Orchestration
- • Kubernetes (K8s)
- • Kubeflow
- • Ray
- • Docker
Serving & Inference
- • NVIDIA Triton
- • TensorFlow Serving
- • vLLM (for LLMs)
- • FastAPI
Monitoring & Registry
- • MLflow
- • Prometheus / Grafana
- • Weights & Biases
- • AWS SageMaker
Ready to scale your AI?
Let's build the robust infrastructure your models deserve.