Skip to content

Your Foundation for Scalable AI

osol-ai-infrastructure

Build Reliable, Secure, and Performant AI Infrastructure

From model hosting to GPU clusters and data pipelines, Osol designs the backbone your AI needs to scale.

The Challenges We Solve

Organizations are pushing into AI, but infrastructure is often the bottleneck. We help you move forward.

osol-ai-gpu searicity

GPU Scarcity or Inefficient Use

AI teams lose time due to shared clusters, misallocation, or manual management.

osol-ai-model-deployment

Slow or Unreliable Model Deployment

Without MLOps, deploying and serving models creates downtime and delays.

osol-visibility

High Costs with No Visibility

GPU bills skyrocket without clear tracking of compute use per team or project.

osol-ai-workflow

Lack of Observability in AI Workflows

You can’t fix what you can’t monitor, and you can’t let model drift, latency, and behavior go unchecked.

osol-security

Security, Compliance & Privacy Risks

Data pipelines, model endpoints, and integrations with systems like SCADA or ERP must meet strict internal policies and regulatory standards like ISO 27001, SOC 2, and NIST.

The Benefits of Choosing Osol

We help you go beyond notebooks to production-ready, secure, and sustainable stacks.

Faster Training & Inference with the Right Hardware

Optimized GPU/TPU setups based on your workloads and models.

Mature MLOps for Repeatable Success

Version control, reproducibility, and automated CI/CD for every experiment.

Compliance Built into Data & Model Flows

Align with ISO 27001, SOC 2, and IEC 62443 standards through built-in audit trails, role-based access, encryption, and retention policies.

Lower Cloud Costs Through Smart Resource Allocation

Custom dashboards, alerts, and dynamic autoscaling keep costs under control.

Compliance Built into Data & Model Flows

Audit trails, role-based access, encryption, and retention policies from day one.

osol-ai-infra

Hybrid, Multi-Cloud & Edge Flexibility

Seamless orchestration across public clouds, on-premises data centers, and secure edge locations for complete control and low-latency processing.

Seamless Integration with Existing Platforms

Modernize your core operations by integrating AI infrastructure with your existing ERP, DCS, SCADA, and other business systems.

Reliable Operations with a Managed Support Model

Benefit from our proactive managed services, backed by guaranteed Service Level Agreements (SLAs) and clear KPIs, ensuring your AI infrastructure runs smoothly 24/7.

Our AI Infrastructure Management Services

Build the foundation for AI success with robust, scalable infrastructure designed for high-performance development and seamless deployment.

MLOps Pipeline Development

We engineer end-to-end automated pipelines that manage the entire model lifecycle. Our MLOps solutions implement CI/CD for machine learning, track model performance, detect drift, and include automated rollback and versioning systems to ensure your AI deployments are repeatable and reliable.

osol-Pipeline-Development
osol-Cloud, Hybrid & Edge Infrastructure Setup

Cloud, Hybrid & Edge Infrastructure Setup

Whether multi-cloud, hybrid, or at the edge, we build the high-performance environment your AI needs. We design and optimize scalable GPU clusters, orchestrate containerized workloads with Kubernetes, and implement secure edge computing solutions to reduce latency and improve security.

Data Lake & Feature Store Engineering

Powerful AI requires a solid data foundation. We engineer robust data lakes and feature stores with automated ingestion, real-time streaming, and batch processing capabilities. Our solutions ensure data governance, lineage tracking, and automated feature engineering to accelerate model development.

osol-Data Lake & Feature Store Engineering
osol-ai-model

AI Model Versioning & Experiment Tracking

Bring scientific rigor to your data science workflows. We implement comprehensive systems for model lifecycle management that allow your team to track every experiment, compare performance metrics, manage versions, and deploy models using A/B testing frameworks for automated evaluation.

AI Security & Governance

Deploy AI with confidence and control. We build security and governance directly into your infrastructure, implementing strict access controls, compliance frameworks for regulated industries, and privacy-preserving techniques. Our solutions include tools for model explainability and bias detection to ensure your AI is responsible and transparent.

AI Security & Governance
Enterprise Systems Integration

Enterprise Systems Integration

Bridge the gap between cutting-edge AI and your core operational systems. We ensure seamless and secure data flow between AI models and your existing platforms, including ERP, DCS, and SCADA systems, unlocking new efficiencies from your established infrastructure.

Managed AI Infrastructure & Support

Beyond setup, we offer a comprehensive managed service to ensure your AI infrastructure operates at peak performance. Our support model includes 24/7 monitoring, defined Service Level Agreements (SLAs), regular performance tuning, and security patching, freeing your team to focus on innovation.

Managed AI Infrastructure & Support

Why Osol for AI Infrastructure?

We don't just provide hardware or software; we architect and manage the end-to-end ecosystem that makes your AI initiatives successful.

Vendor-Agnostic, Best-Fit Solutions

Your infrastructure shouldn't be limited by a single vendor. As independent experts across AWS, Azure, GCP, and private cloud environments, we design the optimal, most cost-effective stack tailored to your specific models and business requirements, free from bias.

Deep Expertise at the AI-Infrastructure Nexus

We speak both languages fluently: AI and enterprise infrastructure. Our team understands the unique demands of training and inference workloads and knows how to build the resilient, automated MLOps pipelines required to support them at production scale.

Governance and Cost Control at the Core

We build with your budget and compliance needs in mind from day one. Our solutions provide granular visibility into compute costs, enforce security policies across the stack, and create audit trails to ensure your AI operations are both efficient and enterprise ready.

infra-ai

A Partnership Focused on ROI and Performance

We are more than architects; we are your partners in success. We provide clear ROI guidance, establish measurable Key Performance Indicators (KPIs), and back our managed services with robust Service Level Agreements (SLAs) to ensure your investment delivers tangible business value.

Case Studies

Operator Rounds Automation (ORA)

Operator Rounds Automation (ORA)

The development and application of Operator Rounds Automation at multiple plants improved their availability and assisted in safeguarding various critical assets.

Read More
Oracle Transportation Management (OTM)

Oracle Transportation Management (OTM)

The implementation of Oracle Transportation Management at Fatima Fertilizer facilities supports the management of all transportation-related activities throughout its global supply chain.

Read More

Frequently Asked Questions

Should we build our AI infrastructure on the cloud or on-premises?

The best choice depends on your specific needs regarding data gravity, security, cost, and scalability. We conduct a thorough analysis of your workloads and business requirements to recommend the right hybrid or dedicated strategy, ensuring you get the performance you need without overspending.

How do you help us optimize our use of expensive GPU resources?

We implement sophisticated scheduling, orchestration, and monitoring tools that provide full visibility into GPU utilization. Through right-sizing instances, automating resource allocation, and enabling fractional GPU use, we ensure you get maximum performance from every dollar spent on compute.

We already have a DevOps team. How does Osol work with them?

We act as a specialized extension of your team. We collaborate closely with your DevOps and IT staff, introducing MLOps best practices and tools that integrate seamlessly with your existing CI/CD pipelines. We handle the AI-specific complexities, empowering your team to manage the overall environment confidently.

What is MLOps, and why is it critical for our infrastructure?

MLOps (Machine Learning Operations) is the practice of automating and standardizing the entire machine learning lifecycle. It's critical because it makes your AI development process repeatable, reliable, and auditable—preventing model drift, enabling faster deployments, and ensuring your models perform consistently in production.

Let’s Build Your AI Infrastructure

Get the foundation you need to scale AI with confidence, security, and control.

Request Infrastructure Assessment