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Recent Articles
Search ArticlesThe Inference Bottleneck: Why Edge AI Is the Next Great Computing Challenge
In the world of artificial intelligence, much of the spotlight has been focused on the training of massive models like GPT-4, Gemini, and others. These models require vast computational resources and months of training on specialized hardware. Yet, for all the attention paid to training, the most pressing challenge in AI today lies elsewhere: inference. Inference—the process of using a trained model to generate predictions or outputs—is where the rubber meets the road.
Altair Partners with DATAsolution to Deliver AI and HPC Solutions in South Korea
TROY, Mich., April 14, 2025 -- Altair, a global leader in computational intelligence, announced a reseller partnership with DATAsolution, a company specializing in data analytics and infrastructure solutions. This collaboration combines Altair's artificial intelligence (AI) and high-performance computing (HPC) technology with DATAsolution's expertise in data infrastructure to deliver customized solutions and enhance customer support.
Nvidia Begins US Production of Blackwell Chips, AI Systems to Follow
Nvidia announced Monday it plans to produce its AI supercomputers entirely in the United States. The company will work with a group of major manufacturing partners to establish a domestic supply chain for its Blackwell chips and systems. This is the first time Nvidia will carry out chip packaging and supercomputer assembly entirely within the United States.
MIT: New Method Efficiently Safeguards Sensitive AI Training Data
April 14, 2025 — Data privacy comes with a cost. There are security techniques that protect sensitive user data, like customer addresses, from attackers who may attempt to extract them from AI models — but they often make those models less accurate. MIT researchers recently developed a framework, based on a new privacy metric called PAC Privacy, that could maintain the performance of an AI model while ensuring sensitive data, such as medical images or financial records, remain safe from attackers.
IEEE Study Leverages Silicon Photonics for Scalable and Sustainable AI Hardware
PISCATAWAY, N.J., April 14, 2025 — The emergence of AI has profoundly transformed numerous industries. Driven by deep learning technology and Big Data, AI requires significant processing power for training its models. While the existing AI infrastructure relies on graphical processing units (GPUs), the substantial processing demands and energy expenses associated with its operation remain key challenges.
Terra Quantum Announces Closed Beta of TQ42 Studio for Quantum AI Development
April 14, 2025 -- In celebration of World Quantum Day, Terra Quantum is unveiling its TQ42 Studio Closed Beta—an ecosystem designed to accelerate quantum AI adoption, featuring two key components: QAI Hub and Qode Engine. While Qode Engine (Python SDK) supports advanced developers, the highlight of this launch is QAI Hub, a no-code quantum machine learning platform designed to lower entry barriers.
NVIDIA to Build AI Supercomputers Entirely in the US
April 14, 2025 -- NVIDIA is working with its manufacturing partners to design and build factories that, for the first time, will produce NVIDIA AI supercomputers entirely in the U.S. Together with leading manufacturing partners, the company has commissioned more than a million square feet of manufacturing space to build and test NVIDIA Blackwell chips in Arizona and AI supercomputers in Texas. NVIDIA Blackwell chips have started production at TSMC’s chip plants in Phoenix, Arizona.
European Commission Targets AI Sovereignty With New Action Plan
The European Commission has just released its AI Continent Action Plan, a sweeping strategy aimed at establishing Europe as a global leader in artificial intelligence. Building on recent regulatory, research, and infrastructure milestones, the plan outlines a five-pillar approach to boost AI capacity, foster innovation, and drive adoption across the continent.
Google Cloud Targets Scientific Innovation with H4D VMs and AI-Powered Research Tools
LAS VEGAS, April 10, 2025 -- Significant advancements in computing power have fundamentally reshaped the scientific process. Computational tools now enhance both theoretical and experimental workflows, driving discoveries across scientific disciplines through numerical simulations and data analysis. Google Cloud’s ongoing investments in foundational research, scalable infrastructure, and artificial intelligence continue to support and accelerate scientific progress.
Cerebras Claims World’s Fastest Inference for Meta Llama 4
SUNNYVALE, Calif., April 10, 2025 -- Cerebras Systems, a pioneer in accelerating generative AI, has announced the launch of Llama 4 inference across its CS-3 systems and on-demand cloud platform. Cerebras achieves over 2,600 tokens per second on Llama 4 Scout – 19x faster than the fastest GPU solutions as verified by Artificial Analysis, a third-party AI benchmarking service. Llama 4 is available now on Cerebras via API access powered by the company's U.S.-based datacenters, and via Hugging Face.