03
Mar
Enlight AIOps: A Unified Framework for AI Operations
Enterprises are increasingly adopting artificial intelligence initiatives and investing in GPU infrastructure, model development, and advanced analytics to support business transformation. However, operational complexity often increases as AI initiatives move beyond pilot environments. Fragmented tooling, rising GPU costs, governance requirements, and production bottlenecks can affect implementation timelines and cost efficiency. Enlight AIOps is designed to... Read More
02
Mar
The Rise of GPUs: The New Backbone of AI Development
For years, AI professionals measured the success of the domain in terms of better algorithms, larger datasets and more capable models. Compute was secondary. Today, large-scale computing power is a primary detail, especially for organizations that train and deploy AI models. GPUs were once treated as add?ons rather than the core engines behind AI. But... Read More
23
Feb
How Modern Data Centers Power AI at Scale in 2026
Artificial intelligence has shifted from pilot programs to production systems. In 2026, AI supports fraud detection in banking, predictive diagnostics in healthcare, automation in manufacturing, and citizen services in government platforms. This expansion is directly influencing data center trends 2026 across India and global markets. For years, infrastructure constraints limited large-scale AI adoption. Power density... Read More
23
Feb
AI in India: A Silent Revolution with Big Impact
There is something different happening in India right now. Not loud. Not in one press release. It is showing up in small decisions being made by enterprises, hospitals, farmers, bank managers and factory floors, all at once. The India AI Impact Expo 2026 did not create this moment, it simply named it. 1. From a... Read More
30
Jan
How To Choose a Cloud GPU Provider In 2026
The ability of GPUs (Graphics Processing Units) to analyze large volumes of data rapidly has led to an increase in their use in machine learning (ML) and artificial intelligence (AI) applications. GPUs are perfect for compute-intensive applications because they are excellent at parallel processing, in contrast to CPUs, which handle jobs sequentially. As processing demands... Read More
27
Jan
15 Critical DBaaS Migration Questions Every CTO Needs to Ask for a Successful Migration
As enterprises modernise application architectures, database cloud migration has become a central topic in technology planning discussions. Database-as-a-Service (DBaaS) is increasingly evaluated as an alternative to self-managed database environments, particularly for organisations seeking operational consistency, scalability, and governance alignment. However, migrating to DBaaS is not a simple infrastructure decision. It introduces changes in responsibility models,... Read More
23
Jan
Top 10 Cloud Infrastructure Trends for CTOs in 2026
By 2026, India’s technology landscape is moving beyond foundational digitisation towards intelligent, data-driven systems. Cloud infrastructure trends are increasingly shaping how enterprises adopt artificial intelligence, build smart infrastructure, secure cloud platforms, and process real-time data at scale. Across industries, organisations are leveraging evolving cloud infrastructure trends to support how enterprises, cities, and public services operate... Read More
17
Dec
10 Ways to Reduce GPU Cloud Spend and Get Better Performance
TL;DR (Quick Summary) – As AI, ML, and LLM workloads scale, GPU Cloud costs have become a major challenge for enterprises. High-end GPUs are expensive, and inefficient usage, idle clusters, and poor workload planning quickly inflate bills. This blog outlines 10 proven strategies to reduce GPU Cloud spend while improving performance—ranging from right-sizing GPU instances and... Read More
15
Dec
Sovereign AI Infrastructure Blueprint: How to Build It Right
TL;DR (Quick Summary) – India’s push toward Sovereign AI Infrastructure focuses on keeping data, compute, and AI governance within national boundaries. By combining locally hosted data layers, India-based GPU compute, sovereign model deployment, enterprise integration, and continuous compliance, organizations can build AI systems that align with regulatory, security, and strategic priorities. Platforms like ESDS GPUaaS... Read More
11
Dec
Private vs Public Cloud: Which Is More Compliant in India?
TL;DR (Quick Summary) – Indian businesses face tough regulatory requirements from RBI, IRDAI, CERT-In, and sectoral laws. In the Private vs Public Cloud debate, public cloud offers agility and scale but its shared responsibility model complicates compliance, audit control, and data residency. Private cloud delivers isolation, full visibility, audit-friendly logs, and India-hosted infrastructure—making it the... Read More