Vertical Data

Contact Us

Vertical Data

Managed Services

Overview

Our Managed AI Infrastructure Services combine innovative software solutions with a localized support network to ensure maximum uptime, performance, and efficiency for AI hardware in data center environments. From AI model deployment to real-time system monitoring and proactive maintenance, we provide a fully managed experience, allowing enterprises to focus on AI innovation rather than infrastructure management.

Key Features & Specifications

  • 24/7 AI Hardware Monitoring & Optimization – Intelligent software continuously tracks GPU performance, power efficiency, and thermal conditions.

  • On-Site Technical Support – A localized service team ensures rapid response times for hardware troubleshooting, upgrades, and maintenance.

  • Automated Orchestration & Workload Balancing – AI-driven resource allocation optimizes training and inference workloads for peak efficiency.

  • Predictive Maintenance & Failover Protection – Advanced analytics detect potential failures before they happen, reducing downtime.

  • Hybrid & Multi-Cloud AI Management – Seamless integration with on-premise, colocation, and cloud AI deployments.

  • Security & Compliance Enforcement – Continuous monitoring to meet SOC 2, ISO 27001, HIPAA, and GDPR security standards.

  • Power & Cost Efficiency Analysis – Optimize AI infrastructure for total cost of ownership (TCO), power consumption, and operational efficiency.

  • AI Model Performance Benchmarking – Test and refine models on different hardware setups to ensure optimal inference/training performance.

 

Performance & Scalability

  • Guaranteed 99.99% Uptime – SLA-backed service ensures uninterrupted AI compute availability.

  • Real-Time AI Performance Optimization – Intelligent workload balancing maximizes GPU/accelerator efficiency.

  • Scalable Infrastructure Management – Supports single-node AI servers to multi-rack supercomputing clusters.

  • Dynamic AI Resource Allocation – Auto-scales resources based on training and inference demand spikes.

Security & Compliance

  • Enterprise-Grade AI Security – Implements zero-trust security models, encrypted data pipelines, and role-based access control.

  • Automated Security Patching – Ensures AI infrastructure remains up-to-date against evolving threats.

  • Regulatory Compliance Monitoring – Enforces compliance with GDPR, HIPAA, and government AI security standards.

  • AI Workload Isolation – Prevents data leakage and cross-model contamination for sensitive AI applications.

Integration & Compatibility

  • Vendor-Agnostic Support – Manages AI infrastructure from NVIDIA, AMD, Untether AI, and custom AI accelerators.

  • End-to-End Software Integration – Seamless compatibility with TensorFlow, PyTorch, Kubernetes, and MLOps platforms.

  • Data Pipeline & Storage Optimization – Ensures high-speed connectivity between compute, storage, and networking layers.

  • Edge & Cloud Hybrid Deployment – Supports on-prem data centers, colocation facilities, and cloud-based AI infrastructure.

Industries & Use Cases

  • Enterprise AI Compute Management – Fully managed AI infrastructure for Fortune 500 companies, AI research labs, and cloud providers.

  • Financial Services & AI Trading – Ensures low-latency inference uptime for algorithmic trading and fraud detection.

  • Healthcare & Life Sciences – Supports AI-driven diagnostics, medical imaging, and drug discovery compute.

  • Autonomous Vehicles & Robotics – Maintains edge AI deployments for real-time sensor fusion and perception models.

  • Retail & E-Commerce AI – Optimizes personalization algorithms, recommendation engines, and supply chain AI.

  • Government & Defense AI – Ensures secure, mission-critical AI model execution with on-prem and colocation deployments.

Vertical Data