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When it comes to AI, tech leaders at large enterprises struggle with security concerns, infrastructure investments, and determining how best to apply AI tools alongside human talent, according to research from CompTIA.
Nvidia CEO Jensen Huang told analysts in an investor call Wednesday that the glitch has been repaired, but didn’t get specific about the nature of the problem nor of the fix.
At the Hot Chips 2024 conference, IBM announced its Telum II processor and previewed its Spyre accelerator for AI and other high-performance Big Iron workloads.
Chinese firms are using a loophole in the US restrictions to access the banned AI chips and AI models through cloud services as this does not violate US regulations.
The service, currently in preview, will allow enterprises to run their real-time AI inferencing applications serving large language models on Nvidia L4 GPUs inside the managed service.
New AI resources from Juniper are designed to streamline enterprise adoption of its AI-Native Networking Platform and include training modules, free product trials, and deployment tools.
Cisco is cutting 6,000 jobs in its second round of layoffs this year and combining its networking, security and collaboration groups into one unit led by Jeetu Patel.
Extreme and Intel are working together to leverage AI technology to bolster network performance, detect security threats, and reduce operational costs.
Threat actors are selling stolen GenAI credentials for ChatGPT, Quillbot, Notion, Huggingface, and Replit.
The chipmaker aims to empower more industries to build physically based virtual worlds and digital twins.
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