Nvidia is rolling out DGX Cloud Lepton, a platform that connects AI developers with GPU access available through various cloud providers. Nvidia calls it “a compute marketplace” that offers tens of thousands of GPUs through a global network that features Nvidia Cloud Partners (NCPs). Among them: CoreWeave, Crusoe, Firmus, Foxconn, GMI Cloud, Lambda, Nebius, Nscale, Softbank Corp. and Yotta Data Services — offering Nvidia Blackwell and other architecture GPUs. Developers can tap into GPU compute capacity in specific regions for both on-demand and long-term computing, Nvidia says, adding that it expects leading cloud computing providers to eventually sign on. Continue reading DGX Cloud Lepton: Nvidia’s New GPU Compute Marketplace

Nvidia has teamed up with Abu Dhabi investment firm MGX to establish what they’re predicting will be Europe’s largest AI data center complex. The partners have also reached out to French firms with a goal of creating a 1.4 gigawatts capacity campus near Paris. The announcement was made at the Choose France Summit in Versailles in a joint statement with investment firm Bpifrance SACA and regional AI startup Mistral AI. On a related note, Cisco chose France as the location for one of its Global AI Hubs, planting a flag for the development of energy-efficient, AI-ready infrastructure. Continue reading Nvidia, Cisco Plan Massive AI Data Center Projects in France

Nvidia is joining forces with Foxconn to build Taiwan’s first supercomputer. Foxconn, the world’s largest contract manufacturer of electronics, will implement the system through its subsidiary Big Innovation Company, which specializes in advanced tech solutions for enterprise. The supercomputer will leverage 10,000 Nvidia Blackwell GPUs, providing “orders-of-magnitude faster performance, compared with previous-generation systems,” said Nvidia CEO Jensen Huang in his Computex keynote. Huang also announced a new initiative that will let companies build semi-custom chips and talked-up desktop supercomputers in the works with Acer and Asus. Continue reading Nvidia, Foxconn Plan to Build an AI Supercomputer in Taiwan

Stability AI has released an AI model that generates stereo audio that is quick and lightweight enough for mobile devices. Called Stable Audio Open Small, the open-source model is the result of a collaboration between the AI startup and chipmaker Arm. While there are several AI-powered apps that generate audio — Suno and Udio among them — most rely on cloud processing, thus can’t be used offline. Stability says Stable Audio Open Small is also IP safe due to being trained entirely on audio from the royalty-free libraries Free Music Archive and Freesound. Continue reading Stability AI Releases a Fast Stereo Audio-Generator for Mobile

IBM plans to invest $150 billion over the next five years to fuel the U.S. economy. Included in the spending plan is more than $30 billion devoted to research and development for mainframe and quantum computers to be manufactured in the U.S. The announcement comes as President Trump is pressing global companies to invest more here, including with trade tariffs that threaten to make products manufactured overseas more expensive to sell at home. IBM CEO Arvind Krishna says the company has “been focused on American jobs and manufacturing since our founding 114 years ago.” Continue reading IBM Unveils 5-Year Plan for $150B in Manufacturing and R&D

China’s Huawei Technologies is getting ready to test its newest AI processor, which the company believes is powerful enough to replace high-end chips from U.S. rival Nvidia, whose top-tier products are prohibited from export to China due to a trade embargo. Huawei’s AI ambitions suggest a superpower competition over semiconductors gearing up despite the U.S. government’s attempt to stymie Beijing. Huawei expects to receive its first samples of its latest AI processor, the Ascend 910D, as early as next month, and is reportedly casting about for tech firms capable of testing it out. Continue reading Huawei’s Processor Could Chip Away at Nvidia Market Share

TSMC introduced its new logic process technology, A14, at the company’s North America Technology Symposium in California. Designed to drive AI forward with faster computing and greater power efficiency, the 1.4nm A14 process is expected to be a boon to smartphones, expanding their on-board capabilities. The company says A14 is an improvement over TSMC’s N2 2nm node, set to go into volume production later this year. TSMC plans to begin producing chips using the A14 process in 2028 for AI clients including Nvidia, the company told reporters and analysts on the eve of its conference. Continue reading TSMC Says New A14 Tech Will Make ‘Smartphones Smarter’

Nvidia has released NeMo microservices into general availability with version 25.4, pivoting its profile from a modular toolkit for creating custom generative AI models to emphasizing it as a platform for building AI agents at scale. As AI agents have become an in-demand commodity, Nvidia is leveraging the fact that NeMo’s capabilities seem purpose built to help them grow and thrive. Built around the Kubernetes open-source container management system, NeMo microservices are offered as “an end-to-end developer platform for creating state-of-the-art agentic AI systems,” according to Nvidia. Continue reading Nvidia Positions Its NeMo Microservices for AI Agent-Building

Adobe has taken a stake in business avatar firm Synthesia, which creates clones for corporate videos using generative AI. The investment of an undisclosed sum through Adobe Ventures was interpreted by one media outlet as a bet that the UK startup’s technology “will transform video production.” Adobe couched the move as a strategic alliance. The investment became public along with Synthesia’s announcement that it surpassed the $100 million mark for what the privately held company says qualifies as recurring annual revenue. Nvidia is also an investor. Continue reading Adobe Investment in Synthesia Could Fuel AI Video Production

A new open-source code reasoning model called DeepCoder-14B-Preview has hit the market. Built atop DeepSeek-R1 and Qwen2.5 using reinforcement learning (RL), it aims to provide more flexibility by combining high-performance code generation with reasoning capabilities for real-world applications. Its performance is said to be comparable to OpenAI’s o3-mini, “but with a smaller footprint,” say its developers, the research-driven AI companies Together AI and Agentica. “We democratize the recipe for training a small model into a strong competitive coder,” explains Together AI. Continue reading Researchers Debut Preview of DeepCoder Reasoning Model

Google has debuted a new accelerator chip, Ironwood, a tensor processing unit designed specifically for inference — the ability of AI to predict things. Ironwood will power Google Cloud’s AI Hypercomputer, which runs the company’s Gemini models and is gearing up for the next generation of artificial intelligence workloads. Google’s TPUs are similar to the accelerator GPUs sold by Nvidia, but unlike the GPUs they’re designed for AI and geared toward speeding neural network tasks and mathematical operations. Google says when deployed at scale Ironwood is more than 24 times more powerful than the world’s fastest supercomputer. Continue reading Google Ironwood TPU is Made for Inference and ‘Thinking’ AI

Meta Platforms has released its first Llama 4 models, a multimodal trio that ranges from the foundational Behemoth to tiny Scout, with Maverick in between. With 16 experts and only 17B active parameters (the number used per task), Llama Scout is “more powerful than all previous generation Llama models, while fitting in a single Nvidia H100 GPU,” according to Meta. Maverick, with 17B active parameters and 128 experts, is touted as beating GPT-4o and Gemini 2.0 Flash across various benchmarks, “while achieving comparable results to the new DeepSeek v3 on reasoning and coding with less than half the active parameters.” Continue reading Meta Unveils Multimodal Llama 4 Models, Previews Behemoth

Semiconductor giant Intel has reached a tentative agreement with Taiwan’s TSMC and some U.S. firms to create a joint venture that would assume operating responsibility for Intel’s chip fabrication plants here. TSMC will reportedly hold a 20 percent stake in the JV, while Intel and the other investors would control the remaining 80 percent. This specific JV is limited to Intel’s foundry unit, which posted a 2024 operating loss of $13.4 billion in 2024 and is not expected to break even until 2027. New Intel CEO Lip-Bu Tan said at last week’s Intel Vision conference that he will spin off all non-core units. Continue reading TSMC Reportedly Ready for Joint Venture with Intel Foundries

During Nvidia’s GTC AI Conference in San Jose earlier this month, VP and GM of Media & Entertainment Richard Kerris presented the Nvidia Media2 initiative that builds on the company’s Blackwell GPU foundation to enable real-time AI solutions for all aspects of media production workflows. His talk showcased a broad range of generative AI breakthroughs in real-time ray tracing and VFX, video search and summarization, and musically-based sound effects (SFX). Kerris also shared insights on the media industry’s reception to AI thus far and humbly implored the audience to consider using such technology as an effective new tool for storytelling. Continue reading Nvidia Forges AI Initiative to Streamline Production Workflows

Just prior to the start of the weekend, Elon Musk announced that his artificial intelligence company xAI is acquiring his social media platform X (formerly Twitter) “in an all-stock transaction,” valuing xAI at $80 billion and X at $33 billion ($45 billion less $12 billion in debt). The merger has the potential to create a powerful GenAI-powered content platform. The billionaire purchased Twitter in late 2022 for $44 billion, following months of legal skirmishes. According to Musk, X currently touts more than 600 million active users, while “xAI has rapidly become one of the leading AI labs in the world, building models and data centers at unprecedented speed and scale.” Continue reading Elon Musk Announces xAI Corporation Will Purchase X Social