AI Infrastructure Service Delivery Framework

INTRODUCTION

Skyonix helps companies build AI-first infrastructure for:

Machine learning
LLM workloads
High-performance compute
Real-time inference

GPU-based clusters
Vector search
Data engineering pipelines

AI INFRA OFFERINGS

GPU Infrastructure Setup

GPU servers (A100, H100, L40S)
Cloud GPU clusters
Hybrid (GPU + CPU scaling)

AI Platform Architecture

Kubernetes for AI
Ray, KServe, MLflow integration
Distributed training setup

Data Infrastructure for AI

Data lakes
ETL pipelines
Feature stores
Vector databases (Pinecone, Milvus, Weaviate)

LLM Infrastructure

Model hosting
Fine-tuning infra
Retrieval-Augmented Generation (RAG) infra
On-prem or cloud

Scalable AI Deployment

High-volume inference
Autoscaling
GPU cost optimization

AI Infra Service Delivery Framework

Discovery & Architecture

Assess needs → Design infra blueprint.

Data & Compute Layer Setup

Deploy GPU, storage, and networking layers.

AI Platform & Pipelines

Set up K8s, Kubeflow, KServe, feature stores.

Model Deployment Infrastructure

Enable distributed training + real-time inference.

Ongoing Optimization

Cost → Performance → Reliability tuning

Git + Jenkins + GitLab CI + Terraform + Ansible + Docker + Kubernetes + Helm + Prometheus + Grafana + SonarQube + Azure DevOps + AWS CodePipeline + Git + Jenkins + GitLab CI + Terraform + Ansible + Docker + Kubernetes + Helm + Prometheus + Grafana + SonarQube + Azure DevOps + AWS CodePipeline

Build Future-Ready Infrastructure for AI, LLMs & High-Performance Workloads.