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

GPU clusters, distributed compute, high-speed data pipelines, vector databases, and scalable architecture.

Design Your AI Infrastructure
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.
Ongoing Optimization
Cost → Performance → Reliability tuning
Model Deployment Infrastructure
Enable distributed training + real-time inference.

Engagement Models

  • Full AI Infra Implementation
  • GPU Cluster Setup
  • AI Platform Monthly Management

Tools & Technology Stack

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

Empower Your Software Delivery with Skyonix DevOps.

Accelerate innovation, reduce downtime, and scale with confidence.

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