Agentic AI Changes the CPU/GPU Equation
AMD is enhancing its EPYC processors to optimize various aspects of the AI pipeline, offering a range of CPU options. As agentic AI evolves, IT leaders are advised to reconsider their infrastructure planning to accommodate a new class of digital workforce. This shift necessitates a collaborative architecture of CPUs and GPUs to effectively transition AI from providing answers to executing actions.
- ▪AMD EPYC processors are designed for different parts of the AI pipeline, catering to both latency-sensitive and scale-out throughput needs.
- ▪The upcoming 'Venice' products will further expand AMD's portfolio of AI-optimized CPUs.
- ▪IT leaders should plan for increased CPU capacity as agentic AI moves into production, rather than treating it as a simple addition like a chatbot.
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Where AMD Fits AMD EPYC™ processors give customers a portfolio of CPU choices optimized for different parts of the AI pipeline, from high-frequency leadership for latency-sensitive work to dense-core leadership for scale-out throughput. And we continue to extend that leadership with our current roadmap, which includes the “Venice” products that will further expand the portfolio of AI-optimized CPUs. Ultimately, we are providing the specialized silicon to populate each rack in your data center (and each compute instance in your cloud environment) with exactly what it needs. Practical Takeaway for IT Leaders I’ll say it again, agentic AI is changing the infrastructure equation.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at AMD.
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