LG and NVIDIA are exploring new ways to advance physical AI, data centers, and autonomous mobility. Their recent discussions reveal how the infrastructure behind complex AI systems is evolving. While no firm investment plans have been announced, the focus is clear: building the hardware and thermal solutions needed to support tomorrow’s autonomous technologies. Building the
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All posts tagged in NVIDIA
At the recent Google Cloud Next conference, Google and NVIDIA revealed their latest hardware plans designed to make AI inference more affordable at large scales. They showcased new A5X bare-metal instances built on NVIDIA Vera Rubin NVL72 rack-scale systems. This joint effort combines hardware and software design to slash inference costs significantly while boosting processing
Late last year, a major retailer faced a big challenge. They were running a large AI model for search and recommendations, and during peak times, their GPU costs skyrocketed. They had already doubled their GPU count but still saw latency spikes. That’s when they called in an expert to figure out what was really happening
Amazon announced a new $5 billion investment in the AI startup Anthropic. While the money is significant, experts say the move is mainly about increasing the company’s computing capacity. This boost aims to address Anthropic’s current infrastructure challenges while strengthening their partnership with Amazon Web Services (AWS). Expanding AI Infrastructure to Support Growth As part
Cadence Design Systems has announced major new collaborations focused on artificial intelligence and robotics. These partnerships aim to enhance how systems are designed, simulated, and deployed, especially in the semiconductor and robotics industries. The company revealed these updates at its recent CadenceLIVE event, highlighting its commitment to integrating AI with advanced simulation tools. Strengthening Ties
Jensen Huang, the CEO of Nvidia, often recalls the moment he personally delivered an AI supercomputer to OpenAI back in 2016. That machine included Nvidia’s CUDA toolkit, which played a crucial role in transforming early AI experiments into the powerful applications we see today. Huang credits CUDA as the backbone of Nvidia’s success in AI
Jacobs has introduced a new digital twin solution designed specifically for large-scale AI data centers. This virtual tool helps developers and owners plan, simulate, and optimize gigawatt-level AI facilities more efficiently. The goal is to speed up project timelines, boost energy efficiency, and improve ongoing operations and maintenance. How the Digital Twin Works The digital
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NTT DATA has launched a new initiative to help organizations deploy AI at scale. The company is now offering platforms powered by NVIDIA technology, designed to turn AI pilots into fully operational systems. These platforms combine NVIDIA’s GPU-based computing and fast networking with software tools to create a complete AI environment that works in the
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A new partnership between ABB and NVIDIA is showing how physical AI simulation can deliver real benefits for factories. Companies struggle to make robots work reliably outside controlled testing environments. The main challenge is the gap between digital models used for training and the real factory floor, where lighting, material physics, and part variations behave
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AI technology is transforming industries worldwide, and a major player in this space, Nscale, has just raised a significant amount of funding to fuel its growth. The UK-based company announced a $2 billion Series C funding round, which is one of the largest ever in Europe. The investment values Nscale at $14.6 billion and highlights
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