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英特尔公司发表题为“在智能体人工智能时代部署异构硬件”的演讲.pdf

上传人: 明**** 编号:1011954 2025-12-21 19页 3.68MB

1、OCP Global Summit|2025Deploying Heterogeneous Hardware in the Era of Agentic AI22025 OCP Global Summit80%of AI compute cycles in inference by 2028*Physical AI Real-time inferencing for physical world interaction20152020202520302035Agentic AI Billions of daily inferences across thousands of modelsDiv

2、erse workload requirementsThroughput,low latency,perf/$/W and system-level tuning required*Source:Gartner,published 08/202432025 OCP Global SummitAI Agent”stages”Context Generation&Data ProcessingCPUCPUDPU&IPUCompute-optimized mid-tier GPULLMprefillLLMdecodeMemory-optimized GPUDiverse models&APIsCom

3、plex multi-agent workflowDifferent building blocks with diverse hardware req.Need for hardware diversity and openness is exacerbatedOrchestrator AgentEnvironment/Sand boxesTool CallsSecurity&GuardrailsReasoning ModelsCPUHardware42025 OCP Global SummitSoftwareIndustry standard,open turnkey offering t

4、o simplify deployment and scale of AISystemsScalable&open heterogeneous systems reducing friction to deploymentSiliconBreadth of solutions across the workload spectrumAgentic AIIntels approach improve efficiency and performance per dollar today,and future ready 52025 OCP Global SummitSoftwareIndustr

5、y standard,open turnkey offering to simplify deployment and scale of AISystemsScalable&open heterogeneous systems reducing friction to deploymentSiliconBreadth of solutions across the workload spectrumAgentic AIIntels approach improve efficiency and performance per dollar today,and future ready 6202

6、5 OCP Global SummitOpen heterogeneous strategy to deliversystems,software&GPUs72025 OCP Global SummitOAM-Compliant(HL-325L)HLB-325Add-In Card(HL-338)82025 OCP Global SummitBhavesh PatelBhavesh PatelDell Fellow,CTO officeDell Fellow,CTO office92025 OCP Global SummitLPDDR5x Xe3P IPNext GenDesigned for

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根据标记内容,全文主要围绕Agentic AI时代下的异构硬件部署展开。以下是关键点: 1. **AI计算趋势**:到2028年,80%的AI计算周期将在推理阶段进行。 2. **Agentic AI发展阶段**:从生成与数据处理,到推理优化,再到环境/沙盒工具调用,逐步发展。 3. **硬件需求**:需要多样化的硬件和开放性,以满足不同的工作负载需求。 4. **Intel方案**:提供开放、模块化和可扩展的架构,优化性能和效率。 5. **硬件多样性**:包括Xeon、Gaudi、Arc GPU等,针对不同工作负载优化。 6. **软件支持**:行业标准、开放的一站式解决方案,简化AI部署和扩展。 7. **网络架构**:开放计算标准,支持多架构、多厂商的异构AI基础设施。 8. **软件框架**:集成行业标准的框架,提供流畅的开发者体验。
"AI时代,硬件如何异构?" "2028年,AI计算将如何发展?" "Agentic AI,未来硬件趋势揭秘!"
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