Explore AIstify's latest reporting, research, and expert analysis tagged with "ai infrastructure", collected in one continuously updated archive.
Nebius Group (NASDAQ: NBIS) has launched Nebius AI Cloud 3.0 Aether, a platform designed to deliver enterprise-grade security and control for mission-critical AI workloads
Tensormesh emerges from stealth with $4.5 million in seed funding to commercialize its LMCache utility, designed to drastically improve AI inference efficiency on limited GPU resources.
Palantir and Lumen Technologies have entered a multi-year, $200 million partnership to deliver enterprise AI services using Palantir’s Foundry and AIP platforms.
Andrew Tulloch, co-founder of the $12 billion AI startup Thinking Machines Lab, has joined Meta after previously rejecting what reports described as a $1.5 billion offer — a figure Meta has since called ‘inaccurate and ridiculous.’
Oracle Cloud Infrastructure will deploy 50,000 AMD Instinct MI450 GPUs beginning in 2026, underscoring the growing competition to Nvidia in the global race for AI computing capacity.
A Virtual Private Cloud (VPC) lets businesses create a secure, isolated network within a public cloud – combining the control of on-premises infrastructure with the speed, scalability, and automation of cloud computing. This guide explains how VPCs work, their key components, benefits, and why they’ve become the foundation for modern applications and machine learning workloads.
OpenAI has announced a strategic partnership with Broadcom to design and deploy 10 gigawatts of custom AI accelerators, expanding its hardware ecosystem beyond Nvidia and AMD.
The hardware, software, and cloud systems that power AI development, enabling data processing, model training, and large-scale deployment across industries.
Cisco has introduced its P200 networking chip and matching router, designed to connect AI data centers over long distances with greater power efficiency and data synchronization.
Elon Musk’s AI startup xAI is reportedly raising up to $20 billion, with Nvidia committing as much as $2 billion in equity. A significant portion of the funding is tied directly to acquisition of Nvidia GPUs.
OpenAI’s computing agreements have now surpassed $1 trillion, spanning deals with AMD, Nvidia, Oracle, and more – a milestone that underscores the capital intensity driving AI infrastructure expansion.
AMD and OpenAI have entered a multi-year, 6-gigawatt partnership to deploy AMD Instinct GPUs and build next-generation AI infrastructure, marking one of the largest compute collaborations in the industry’s history.
OpenAI has entered into a strategic agreement with AMD to supply high-performance AI chips, diversify its hardware sources, and build next-gen compute capacity.
Nvidia and Fujitsu have entered into a strategic collaboration to co-develop AI robotics and foundational AI infrastructure in Japan, aiming for deployment by 2030 and a ‘human-centric’ model of innovation.
Microsoft has committed $33 billion to neocloud partnerships, including a $19.4B deal with Nebius, to secure GPU capacity and avoid looming AI infrastructure bottlenecks.