AI ML - Infra360

AI/ML success depends on modern cloud infrastructure

Operational gaps in cost control, compliance, and performance make it harder for AI/ML teams to scale models reliably.

of enterprises require 3+ months to deploy AI models into production, slowing innovation.

report GPU infrastructure costs exceeding budgets by 25% or more

of teams face failures in managing training-to-inference pipelines effectively

of AI-related security breaches stem from misconfigured datasets or APIs

of machine learning models lose measurable accuracy within 90 days without automated retraining

of enterprises cite compliance and governance as the biggest blocker to scaling AI initiatives

The reality AI and ML platforms face when scaling complex workloads

AI and ML platforms face increasing challenges in managing infrastructure, performance, and governance. Training and inference workloads demand significant GPU capacity while pipelines struggle to meet unpredictable spikes in usage. Limited visibility across distributed environments makes it harder to control drift, downtime, costs, and compliance risks. The real challenge lies in maintaining accuracy, reliability, and efficiency as workloads scale and regulatory demands evolve.

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Cloud Engineering

Data Engineering

Cloud Modernization

Cloud
FinOps

Multi Cloud Security

Kubernetes Security

Platform Engineering

Site Reliability Engineering

Eliminating AI and ML infrastructure barriers for production-ready models

AI and ML platforms demand environments built to handle intensive model training, real-time inference, and rapid data movement without sacrificing security or compliance. Streamlined architectures reduce operational overhead and simplify deployment, enabling teams to deliver accurate models to production faster and more reliably.

Automated model deployment pipelines

Streamline model packaging, validation, and deployment using CI/CD workflows integrated with tools like Kubeflow, MLflow, or ArgoCD. Enable reproducible builds and faster rollouts into production environments.

Dynamic GPU and resource optimization

Implement GPU-aware scheduling and autoscaling within Kubernetes clusters to manage training and inference workloads efficiently. Allocate compute resources based on demand while preventing overprovisioning.

Secured data pipelines and access controls

Protect sensitive AI datasets and model artifacts with TLS encryption, secrets management, and scoped RBAC policies. Enforce compliance with SOC 2, HIPAA, and GDPR requirements without slowing down model delivery.

Resilient inference and training environments

Design fault-tolerant infrastructures for AI pipelines with multi-zone deployments, automated failovers, and disaster recovery policies. Maintain uninterrupted performance during training or real-time inference surges.

Pipeline observability and performance insights

Enable end-to-end visibility into AI workloads with tools like OpenTelemetry, Prometheus, and Grafana. Monitor GPU utilization, latency, and data drift to proactively address performance issues before they impact accuracy.

Infrastructure automation for AI operations

Manage model training and serving environments at scale with Infrastructure as Code using Terraform or Pulumi. Automate cluster provisioning and configuration for consistency, security, and version-controlled workflows.

Accelerate AI and ML operations with managed solutions designed for complex workloads

Continuously optimize pipelines with telemetry insights, drift detection, and automated tuning to improve throughput and model reliability.

Automated model deployment

Automates packaging, validation, and rollout of ML models into production for predictable, zero-downtime releases.

Integrated security and compliance

Secures datasets and model artifacts while enforcing encryption, RBAC, and compliance policies directly in pipelines.

24/7 incident response and recovery

Detects anomalies in real time and remediates failures proactively to maintain uptime and model accuracy.

Streamlined workload migration

Moves models, datasets, and pipelines into GPU-optimized, containerized environments with automated rollback and validation.

Cost intelligence and optimization

Tracks GPU usage, training costs, and inference spend while applying autoscaling and quotas to control AI infrastructure costs.

Continuous pipeline tuning

Uses telemetry, drift detection, and automated adjustments to improve throughput, reduce latency, and enhance model accuracy.

Full List of Industries We Serve

Infra360 Highlights

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Complex applications deployed on AWS using EKS/ECS

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Cloud migrations successfully completed

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DevOps projects executed on AWS and Azure

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Certified cloud architects delivering expert solutions

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Applications optimized across different industries

Testimonials

From DevOps engineers to CISOs, CTOs, CFOs, SREs and CEOs. Infra360 is loved by all!

Vineet Sharma

Co-Founder & CTO at iCubesWire

Our Cloud Modernization journey was seamless with Infra360 expertise. Their expertise in automating infrastructure, containerization with EKS, and implementing CI/CD processes has been transformative. This has positively impacted on our developer productivity, system reliability, and scalability. Infra360 played a pivotal role in propelling our startup to new heights in the cloud era.

Kumar Saurav

Co-Founder & CTO @ Vodex.ai

Choosing Infra360 for our AWS to GCP migration was a strategic move after we get GCP credits. We have achieved seamless cloud relocation with their expertise. Infra360 made the process efficient and cost-effective, aligning our business with the right cloud solutions. We're grateful for their support in navigating this transformative journey.

Chetan Vinchhi

Managing Director, Uptycs India

Infra360 has helped us built an important feature for our cybersecurity platform Uptycs related to AWS IAM which is an advanced version of AWS IAM Policy Simulator. This innovative solution has helped us serving our enterprise clients with detailed insights into user and resource-level permissions. I am amazed with their expertise with services like AWS IAM. Infra360 has delivered a solution we are genuinely proud of.

Ashwini Anand Pillutla

Founder and CEO @ Monsoon CreditTech

Teaming up with Infra360 was a pivotal decision for us. Their cybersecurity prowess, from SSO to teleport VPN and DLP solutions, played a crucial role in bolstering our digital fortifications. What truly distinguishes them is their unwavering dedication to achieving SOC2 compliance. Thanks to Infra360, we've not only strengthened our security stance but also earned the trust of our stakeholders. They've been a true game-changer in our journey towards financial innovation.

Hasib Malik

Co-founder & CEO @ CreditBook

Partnering with Infra360 for our Cloud Modernization and Containerization journey was a game-changer. Their team brought a perfect blend of expertise and personal commitment to our project. The result? A transformed, agile infrastructure that exceeded our expectations. Kudos to Infra360 for making our transition to the cloud seamless and future-ready!

Vipin Singh

EVP & Group Head Of Engineering at REA India

Partnering with Infra360 was instrumental in transforming our infrastructure. Their expertise facilitated a smooth migration from server-based deployments to highly efficient Kubernets solutions. This has helped us with enhanced uptime, exceptional reliability, and unparalleled scalability. Our IT capabilities have reached new heights, thanks to Infra360.

Nishant Kumar

Head of Insurance @ GoTo Financial

I have been consistently impressed with Deepak's leadership skills and ability to manage complex projects with ease. What sets Deepak & his team apart is their ability to collaborate effectively with cross-functional teams, including developers, QA engineers, and project managers. He is always willing to lend a helping hand and work tirelessly to ensure that our projects are completed on time and within budget. He is an excellent communicator and have a natural talent for explaining complex technical concepts in a way that is easy to understand.

Anshul Shrivastava