Future Of AI Infrastructure

Worldwide IT spending is expected to climb 14.2% to $6.37 trillion in 2026 as enterprises and hyperscalers invest heavily in AI infrastructure, cloud platforms and next-generation data centres

Artificial intelligence is reshaping enterprise computing in ways that traditional IT was never designed to support. As AI moves into production, organisations are discovering that success depends as

As enterprise AI moves from experimentation to large-scale deployment, organisations are discovering that technology alone isn't enough. Long-term success depends on the right expertise, the right exe

For many organisations, proving that AI works is no longer the challenge. The real test is turning promising pilots into enterprise-wide capabilities that deliver consistent business value.

Moving AI from isolated pilots to enterprise-wide deployment requires more than powerful models - it demands infrastructure that can keep costs, complexity and performance in balance.

Geopolitical shifts and national concerns quietly reshape global AI, driving a subtle balance between local control and innovation

The venture capital firm's investments in TensorWave and Neysa reflect its belief that compute, cloud, power and security infrastructure will capture AI's long-term value

From ageing servers to unprepared employees, new Kyndryl research shows enterprise AI is stalling on the same problem: readiness, not intelligence

The partnership will combine L&T Vyoma's sovereign AI infrastructure with Fortanix's data security platform and Nvidia Confidential Computing technology

Ookla's latest report finds India's 5G performs well on downloads but falls behind on upload speeds and latency, two network characteristics increasingly critical for AI applications

Use cases raise questions around permissions and security, as deployments progress beyond proof-of-concept

Yotta has raised $150 million at a ₹37,000 crore valuation to expand its AI infrastructure, scale GPU capacity and support its pre-IPO growth plans

Bank for International Settlements says AI has supported global growth, but warns that opaque financing, rising debt and trillion-dollar infrastructure spending could become a systemic financial risk

Thirty-five nations, including India, have signed on to the US initiative to build trusted and resilient supply chains to power artificial intelligence (AI) technologies. At the second Pax Silica Summit held in Washington on Thursday, 35 nations signed the Joint Statement on AI Opportunity, aligning behind a pro-growth, pro-innovation regulatory approach for the AI era, said Jacob Helberg, US Under Secretary of State for Economic Affairs. "A commitment to trusted supply chains, to mobilising the private sector, and the infrastructure that will power the next century," he said. Argentina, Germany, the Netherlands, Chile, Costa Rica, Greece, Kazakhstan, Panama, and the European Union joined the Pax Silica initiative on the sidelines of the Summit. India is represented at the Summit by S Krishnan, Secretary, Ministry of Electronics and Information Technology, Nagraj Naidu, Additional Secretary (Americas) in the Ministry of External Affairs, and representatives of the Indian industry.

From ChatGPT to Claude: AI fuels a record $8-trillion unicorn economy

Micron's upbeat outlook and strong AI-driven demand for memory chips pushed its market value past Meta and briefly close to Tesla's

A JP Morgan report tracking AI readiness across four global indices finds India strong on research and talent, but trailing on infrastructure, adoption and government deployment

A JP Morgan report tracking AI readiness across four global indices finds India strong on research and talent, but trailing on infrastructure, adoption and government deployment

SK Hynix plans a $29.4 billion US listing to expand chip capacity, as soaring AI demand fuels one of the biggest share sales in history

Mukesh Ambani said Reliance Intelligence will commission 120 MW of AI infrastructure by end-2026, supporting more than 200,000 H100-equivalent GPUs at scale