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GPUs have become increasingly important for several large software firms such as AWS, Google, and OpenAI, as the demand for generative AI continues to grow steadily.
While AI optimism remains high, many organizations are experiencing a reality check and are not fully realizing the benefits of the technology yet.
Kyndryl’s annual survey of Big Iron users finds generative AI, security, observability and skills are 2024’s top topics.
A senior AMD executive spelled out what many have suspected: AMD is prioritizing AI performance over gaming performance as it joins other chip makers in chasing more AI business.
This, along with other AI regulations, sparks worries for enterprises about escalating compliance costs and curbing innovation.
IT managers believe generative AI can improve IT service performance, but they remain concerned about AI data quality and security, according to new research from EMA.
Enterprise vendors are lining up to bring Nvidia NIM Agent Blueprints to data center and edge deployments.
China’s efforts to build a domestic AI ecosystem that can challenge US rivals are being ‘hampered by bug-ridden software,‘ a news report says.
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.
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