Videos
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The Value of Disruptive AI-CPU Technology for AI Inference
NeuReality Co-founder and CEO, Moshe Tanach, explains current architectural challenges around AI inferencing and how NeuReality’s new purpose-built Inference Architecture powered by NeuReality’s AI CPU can increase GPU utilization, reduce cost and more.04.12.25
01:28
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Why GPUs are wasted waiting for Data – and how to fix it?
An interview by Ian Cutress sitting down with our CEO Moshe Tanach to unpack:
How our first generation NR1 AI-CPU accelerates Inference today so GPUs run flat-out
Why Scale-out east-west communication is the next problem to solve?
And how our next generation NR2 AI-SuperNIC solves the Scale-out problem to keep GPUs busy while training and inferring large disaggregated GPU clusters
If you care about time-to-first-token, utilization, and total cost per token – this one’s for you.30.10.25
30:51
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AI For the Rest of Us – Webinar Replay
It’s time to move past artificial intelligence and focus on affordable intelligence. Gain key insights on how to reduce your AI data center costs up to 90%, achieve 6-15x energy efficiency, and to fortify your AI infrastructure now to avoid system overload with growing and future generative AI applications.26.06.24
32:30 minutes
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Liberating Global Data Centers in the AI Revolution
NeuReality CEO urges engineers and technologists to focus on the next big challenge in AI: making AI affordable and efficient for the 75% of US businesses that do not currently deploy trained AI models and business AI applications due to cost and complexity.24.06.24
31:22 minutes
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Affordable Intelligence for Profitable Growth: Generative AI Summit, New York
NeuReality CEO Moshe Tanach challenges the AI industry and enterprise practitioners to take up the next big challenge to drive higher business adoption of AI – by shifting urgent focus from AI training to AI inference.12.06.24
24:18 minutes
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CPU-Free Servers! NR1-S Pairs with ANY AI Inference Chip
Check out three different AI Accelerators from Qualcomm, AMD and IBM paired with our NR1-S AI Inference Appliance rather than host CPU ad NIC. Dr. Ian Cutress features NeuReality in the best of silicon at SC23. Boost your GPU output with next-gen AI compute infrastructure while slashing energy cost.19.01.24
1:47 min
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Driving AI Profitability with NR1 AI Inference Solution
CEO Moshe Tanach highlights NR1 AI Inference Solution’s bottom-line superiority, benchmarking AI Operations/Watt and AI Operations/Dollar against CPU-centric data centers – weighing both capital expenditure and daily operating costs for Computer Vision, NLP, GenAI, and more.15.01.24
2:08 min
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Thinking Differently: The Future of AI-Centric Data Centers
At SC23, CEO Moshe Tanach asks the AI tech community to think differently about the kind of data centers the world needs to support power-hungry AI pipelines and applications of the future. It’s a paradigm shift away from a CPU-centric to AI-centric data centers.17.12.23
14:13 min
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Moshe Tanach presenting at the TSMC Symposium Innovation Zone
NeuReality Co-Founder and CEO Moshe Tanach presents at the TSMC 2023 Europe Technology Symposium Innovation Zone in Amsterdam, Netherlands to talk about the NeuReality platform, his vision for AI inference, and partnership with TSMC.23.07.23
3:33 min
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The AI Summit New York 2022 Interview | Moshe Tanach Interview with Ben Wodecki of AI Business TV
Watch NeuReality CEO and co-founder Moshe Tanach give an interview to Ben Wodecki, Assistant Editor of AI Business TV.23.12.22
8:23 min
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The AI Summit New York 2022 Keynote | Deploying Any Inference Use Case With a Unified, Network-Addressable AI Platform with Moshe Tanach
Watch NeuReality CEO and co-founder Moshe Tanach give a keynote address at the AI Summit New York 2022 on Deploying Any Inference Use Case With a Unified, Network-Addressable AI Platform.23.12.22
26:10 min
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NeuReality Software Story
To bridge the gap between the infrastructure where AI inference runs and the ML Ops ecosystem, we’ve created a suite of software tools that make it easy to develop, deploy, and manage AI inference.07.12.22
3:18 min
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