26
Oct
AI Factories Explained: The Next Era of Data Centers
TL;DR: AI factories are transforming traditional data centers into GPU-powered infrastructure designed for AI training, inference, and real-time intelligence. With advanced cooling, high-speed networking, and AI orchestration, they improve scalability, performance, and cost efficiency. ESDS supports this transformation through GPU-as-a-Service, SWARAJ Bodhi (AIOps), GPU Monitoring, SWARAJ Cloud, and integrated security solutions, enabling enterprises to accelerate... Read More
23
Oct
How AI-Powered Swaraj Security Solution Reduce Cyber Risk Across Enterprise IT?
TL;DR: ESDS Swaraj AI-Powered Cybersecurity Solutions help enterprises reduce cyber risks through intelligent threat detection, real-time monitoring, and advanced security management. The integrated security platform combines Swaraj Jatayoo (Database Activity Monitoring) to detect suspicious database activities, Swaraj Nandi (Privileged Access Management) to secure privileged accounts and control unauthorized access, and Swaraj Hansa (AI-Powered SIEM) to... Read More
15
Oct
SWARAJ Sethu: Unified DevSecOps Platform from Code to Production
TL;DR: SWARAJ Sethu is a unified DevSecOps platform from ESDS that brings source control, CI/CD, security scanning, infrastructure as code (Terraform and Ansible), multi-cluster Kubernetes, configuration, observability and governance into one connected environment, from code to production. This article explains how DevSecOps differs from DevOps, how DevSecOps tool sprawl causes context switching, broken handoffs and... Read More
15
Oct
How to Build an AI Factory in India: A Practical Blueprint
TL;DR: This is how to build an AI factory for Indian conditions: in a sequence, not from a box. Size it from the decisions it must produce and rent GPU capacity before you own any. Keep training data and model weights inside India by design. Run every model through one shared pipeline, with a governance... Read More
13
Oct
Real-Time AI Monitoring for Better Model Performance
TL;DR Summary : AI models can degrade silently in production due to data drift, model drift, infrastructure issues, latency, and changing user behaviour – even when systems appear healthy. Real-time AI monitoring continuously tracks model performance, data quality, infrastructure, application health, and operational signals to detect issues early. By connecting AI telemetry with business outcomes,... Read More
30
Sep
Top Enterprise Use Cases for GPUaaS in AI & HPC
TL;DR: This article explains what GPU as a Service (GPUaaS) is and why enterprises are adopting it: high GPU capital costs, procurement lead times, uneven utilisation, and access to the latest architectures. It covers six enterprise use cases (LLM training and fine-tuning, generative AI inference, computer vision, fraud detection, scientific computing/HPC, and recommendation engines), compares... Read More
28
Sep
What Is an AI Factory? Architecture, Benefits & Use Cases
TL;DR: An AI factory is a purpose-built environment that combines data pipelines, GPU compute, MLOps and governance to turn raw data into AI outputs reliably and at scale. This guide covers how it works, its architecture, benefits, industry use cases, and deployment options.An AI factory is a purpose-built computing environment that turns raw data into... Read More
22
Sep
AI-Powered SIEM Trends That Will Shape Security Operations in 2026
AI-powered security information and event management (SIEM) solutions enable practitioners to work far more efficiently and effectively than traditional SIEM solutions, which rely on manual processes to configure data ingestion, triage alerts, and create incident response playbooks, to name a few.Generative AI (GenAI) is used by the most sophisticated of these new SIEM solutions to... Read More
09
Sep
Why Enterprises Need AI-Driven Observability with SWARAJ Garuda and SWARAJ Jatayoo?
Enterprise IT environments have grown too complex for manual monitoring to keep pace. Applications now span microservices, containers, multiple databases, and hybrid infrastructure, and a single unmonitored gap can turn into downtime, a compliance gap, or a data breach. This is why AI-driven observability has moved from a nice-to-have to an operational necessity for enterprises... Read More
31
Jul
What Is Database Activity Monitoring (DAM) and How Does It Work?
By 2026, databases will have evolved to become the main storage place for the most valuable assets – the data itself. With an increasing amount of data produced by businesses, ensuring database security becomes even harder. The current enterprise operates in a hybrid, multi-cloud, and distributed environment, which makes standard security approaches not enough for... Read More
