Nvidia in talks to give credit support for Nscale's deal with Anthropic
Nvidia is reportedly discussing providing billions of dollars in credit guarantees to Nscale to support a data center for Anthropic.
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Nvidia is reportedly discussing providing billions of dollars in credit guarantees to Nscale to support a data center for Anthropic.
Despite the release of the high-performing Gemini 4 Carbon model, Alphabet suffered a massive stock drop due to investor concerns over AI spending.
Alphabet's quarterly filing reveals future commitments for data centers, energy, and computing exceeding $1 trillion.
Avendus Capital reports that India's new-age manufacturing sector is well-positioned to benefit from a $3 trillion global AI investment cycle.
HPE is using Alletra Storage MP X10000 to address GPU memory limitations by offloading inference state.
Synology will hold its Solution Day 2026 in Mumbai to discuss data infrastructure for AI adoption.
Siemens identifies significant growth opportunities in India as the country expands its AI factories and data center capacity.
Microsoft's Azure cloud platform generated $33.2 billion in quarterly revenue, up 48% year-over-year, driven by strong demand for cloud and AI services.
Altera announced the Agilex 2X portfolio of field-programmable gate arrays and system-on-chip devices designed for AI infrastructure, robotics, and edge systems.
Oracle will offer Google's TPUs on its cloud platform starting 2027 and integrate OpenAI's ChatGPT into its business software, expanding AI capabilities across its product suite.
GitHub is expanding its infrastructure by 4 million CPU cores and 160 petabytes of storage while launching Copilot Fusion, an intelligent routing system that selects the optimal AI model based on task difficulty and cost-performance tradeoffs.
Amazon reports strong AWS demand driven by AI labs like Anthropic and OpenAI, with capacity largely booked through 2028 despite planned $220 billion capex spending.
L&T's Vyoma.AI breaks ground on a 52 MW AI-ready data centre in Chennai as part of its gigawatt-scale expansion plan across India.
India is developing a dedicated data centre policy to support AI infrastructure expansion while balancing power availability and local concerns. The government expects $200 billion in investment as capacity is forecast to reach 8 GW by 2030.
Political opposition to data centers in the U.S. is creating unusual cross-party coalitions, driven by concerns over energy use, land use, and environmental costs despite their role in AI infrastructure.
India's AI ecosystem faces investor skepticism on hardware and deeptech, but opportunities emerge in specialized AI infrastructure layers beyond raw compute power.
SK Hynix predicts memory shortages will persist through 2030, driven by AI adoption and infrastructure investment, positioning the company to boost profits despite capacity constraints.
Oracle announced expansion of its AI compute capabilities on its cloud platform, adding NVIDIA GPUs, Google TPUs and Cerebras inference technology alongside existing infrastructure.