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Production AI workloads demand infrastructure that is governable, efficient, and easy to deploy. Hear how Uniphore is using AMD Instinct MI350P PCIe cards to help deliver secure, enterprise-grade conversational and generative AI for more than 2,500 customers. Watch the full video on YouTube:

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15,793 görüntüleme • 1 ay önce •via X (Twitter)

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Enterprise AI adoption shouldn’t require rebuilding your data center. AMD’s Suresh Andani shares how the new AMD Instinct MI350P PCIe cards enable enterprises to deploy and scale generative and agentic AI using existing air-cooled infrastructure, while delivering strong AI performance and operational simplicity. Watch the full video on YouTube:
1:05

Enterprise AI adoption shouldn’t require rebuilding your data center. AMD’s Suresh Andani shares how the new AMD Instinct MI350P PCIe cards enable enterprises to deploy and scale generative and agentic AI using existing air-cooled infrastructure, while delivering strong AI performance and operational simplicity. Watch the full video on YouTube:

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AI deployment doesn’t have to mean reinventing your infrastructure. AMD’s Suresh Andani explains how AMD Instinct MI350P PCIe GPUs combine open software, enterprise-ready AI infrastructure, and scalable inference performance to help organizations accelerate AI adoption within existing data centers. Same racks. Same cooling. Dramatically more AI. Watch the full video on YouTube:
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AI deployment doesn’t have to mean reinventing your infrastructure. AMD’s Suresh Andani explains how AMD Instinct MI350P PCIe GPUs combine open software, enterprise-ready AI infrastructure, and scalable inference performance to help organizations accelerate AI adoption within existing data centers. Same racks. Same cooling. Dramatically more AI. Watch the full video on YouTube:

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“Any model, any agent, any accelerator, and any cloud.” Red Hat’s Brian Stevens explains why open AI infrastructure matters as enterprises scale agentic AI workloads, and how Red Hat and AMD are collaborating to help simplify deployment with AMD EPYC processors and AMD Instinct GPUs. Watch the full video on YouTube:
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“Any model, any agent, any accelerator, and any cloud.” Red Hat’s Brian Stevens explains why open AI infrastructure matters as enterprises scale agentic AI workloads, and how Red Hat and AMD are collaborating to help simplify deployment with AMD EPYC processors and AMD Instinct GPUs. Watch the full video on YouTube:

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AI is reshaping the data center. Hear from Paul Turner, Chief Product Officer of the VMware Cloud Foundation Division at Broadcom, on how Broadcom and AMD are helping organizations build AI-ready infrastructure with VMware Cloud Foundation and AMD Instinct MI350P Series GPUs.
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AI is reshaping the data center. Hear from Paul Turner, Chief Product Officer of the VMware Cloud Foundation Division at Broadcom, on how Broadcom and AMD are helping organizations build AI-ready infrastructure with VMware Cloud Foundation and AMD Instinct MI350P Series GPUs.

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ICYMI: AI is going local. AMD and @LiquidAI are enabling on-device agents that are more secure and efficient. Watch the latest Advanced Insights episode to learn more:
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ICYMI: AI is going local. AMD and @LiquidAI are enabling on-device agents that are more secure and efficient. Watch the latest Advanced Insights episode to learn more:

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Enterprise-ready AI starts here. Supermicro PCIe GPU systems featuring AMD Instinct™ MI350P enable scalable agentic AI deployment in a PCIe form factor built for your existing infrastructure.
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Enterprise-ready AI starts here. Supermicro PCIe GPU systems featuring AMD Instinct™ MI350P enable scalable agentic AI deployment in a PCIe form factor built for your existing infrastructure.

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Agentic AI is here, and AMD is helping Luma AI deliver the infrastructure needed to support these advanced models. This collaboration, spotlighted at CES, highlights how AMD and Luma AI are working together to enable what’s next. ▶️ Hear more from CEO of Luma AI, Amit Jain (amit).
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Agentic AI is here, and AMD is helping Luma AI deliver the infrastructure needed to support these advanced models. This collaboration, spotlighted at CES, highlights how AMD and Luma AI are working together to enable what’s next. ▶️ Hear more from CEO of Luma AI, Amit Jain (amit).

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AI agents are coming and they need serious compute. On the CES keynote stage, OpenAI President and Co-founder Greg Brockman (Greg Brockman) joined AMD Chair and CEO Lisa Su to share how AI is evolving from simple prompts to always-on agents transforming healthcare, enterprise, and scientific discovery. AMD Instinct MI455X is built for what comes next.

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NPUs deliver the real-time, energy-efficient compute needed to run billions of parameters at the edge. Microsoft’s Pavan Davuluri joins AMD CTO Mark Papermaster on Advanced Insights to discuss how AMD and Microsoft are shaping the future of AI on Windows. Watch the full episode on YouTube today!
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NPUs deliver the real-time, energy-efficient compute needed to run billions of parameters at the edge. Microsoft’s Pavan Davuluri joins AMD CTO Mark Papermaster on Advanced Insights to discuss how AMD and Microsoft are shaping the future of AI on Windows. Watch the full episode on YouTube today!

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Building the future of AI requires the right foundation. AMD is partnering with Liquid AI to help advance open, efficient AI development. Together, we’re committed to open-source innovation and providing solutions that enable users to keep up with the pace of change. Listen to Liquid AI Co-founder and CEO, Ramin, to hear how progress scales with collaboration.
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Building the future of AI requires the right foundation. AMD is partnering with Liquid AI to help advance open, efficient AI development. Together, we’re committed to open-source innovation and providing solutions that enable users to keep up with the pace of change. Listen to Liquid AI Co-founder and CEO, Ramin, to hear how progress scales with collaboration.

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The biggest driver of AI compute now is real-world deployment. At NVIDIA GTC, IREN's Kent Draper, alongside Lenovo's Vlad Rozanovich, shared what they’re actually seeing on the ground from AI infrastructure demand, and the signal is coming from enterprise use. He pointed to agents, internal enterprise models, and real-world deployments as the workloads now driving demand, and explained that the challenge isn't finding customers, it’s how quickly they can build capacity to keep up. Their strategy? A vertically integrated model focused entirely on power-dense computing, which allows them to scale faster, control the environment, and deliver infrastructure purpose-built for AI rather than multi-tenant data centers trying to support dozens of different workloads.
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The biggest driver of AI compute now is real-world deployment. At NVIDIA GTC, IREN's Kent Draper, alongside Lenovo's Vlad Rozanovich, shared what they’re actually seeing on the ground from AI infrastructure demand, and the signal is coming from enterprise use. He pointed to agents, internal enterprise models, and real-world deployments as the workloads now driving demand, and explained that the challenge isn't finding customers, it’s how quickly they can build capacity to keep up. Their strategy? A vertically integrated model focused entirely on power-dense computing, which allows them to scale faster, control the environment, and deliver infrastructure purpose-built for AI rather than multi-tenant data centers trying to support dozens of different workloads.

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AI-driven design is already reshaping compute. We are transforming how we design chips, with software and hardware evolving together. This approach is accelerating innovation and enabling more efficient, scalable solutions. AMD Corporate Fellow Alex Starr joins CTO Mark Papermaster in a new season of Advanced Insights. Watch the full episode on YouTube:

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AMD & Marvell Technology are working hand in hand to address the biggest challenges in AI cluster design! Nick Kucharewski unveils how UA Link is central to building clusters with hundreds of connected accelerators, ensuring the performance and interoperability required for the most demanding AI workloads. #AdvancingAI

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Great tech is important, but what really matters is the human element and how the tech feels to the end user. Watch below to hear more from Waverly Swinton, Principal Product Marketing Manager - AI and Machine Learning at DigitalOcean. #AdvancingAI

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From training to inference at massive scale, delivering on the promise of AI depends on collaboration across open hardware and software. AMD and OpenAI are working together to tailor hardware like Instinct MI455X and Helios for where AI workloads are going, not just where they are today. Greg Brockman (Greg Brockman) on the power of our engineering partnership at #CES2026.

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