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在威龙V2 Thunderhill FPGA平台上运行数据中心和AI推理应用程序.pdf

上传人: c** 编号:955337 2025-10-27 12页 2.11MB

1、Real Systems.Real Traction.Bringing High-Performance RISC-V Platforms to LifeBalaji Baktha,CEO,Ventana Micro SystemsRISC-V Europe Summit,Paris 2025Delivers a Full-Scale Compute PlatformSYSTEM IPFEATURE PARITY WITH LEADING CPU ARCHITECTURESHIGH PERFORMANCE CPUHIGH PERFORMANCE CACHE ARCHITECTURELOW LA

2、TENCYCOHERENT NOCR ASSECURITYCHIPLET TECHNOLOGYDOMAIN SPECIFIC ACCELER ATIONGENER ATIVE AISOFTWARE STACK 2Frictionless-Making it easy for customers to adopt RISC-V in their data center applications AI Acceleration is Fragmented RISC-V Unifies ItDifferent Workloads need different compute.But they all

3、 need a unified foundation.Fragmented Architectures Reinvented Software Stacks No Shared Investment No CUDA Alternative Share ISA across CPUs and accelerators Scalable to fit across any AI Tier Common toolchain and compiler infrastructure Ecosystem leverage as industry wide scaleThey All Struggle Be

4、causeRISC-V Enables Ecosystem ScaleTrainingSignal Processing/Classical MLIntegrated MatrixAttached MatrixVector/Dot ProductAI Workloads Vary Compute Must ScaleBut They All need a Unified FoundationFrom Grace Blackwell to Open Compute:Ventana Enables the RISC-V AI SuperchipRISC-V Equivalents to Nvidi

5、a Grace BlackwellCPU+AI Equivalent Using Ventana RISC-VPCle Gen5Blackwell GPU“Grace”Arm CPULPDDR5X16x PCle Gen5HBM3 DRAMNVLink/NVLinkNetwork132 Steaming Multiprocessors5th Generation Tensor CoresDDR5UCle D2D InterfacesRV VectorRV MatrixRISC-V Based Veyron E2“RUCA”ChipletsRISC-V Veyron V2 Server CHI-

6、based Coherent On-chip InterconnectPCle Gen5/6IO Hub Base Building Block4Turning Vision into Action:Real-World Execution from Compute to AICloud Compute Server PartnersAI Acceleration Partners5Veyron E2-based“RUCA”AI/HPC AccelerationRISC-V MatrixRISC-V ScalarRISC-V VectorRISC-V Veyron V2 32-core Com

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根据文章内容,以下是全文关键点的概括: - **Ventana Micro Systems** 正在推动高性能RISC-V平台的发展。 - **Veyron V2 (N3)**:8.4 SPECint2017率=1,最高3.85GHz,32核,128MB L3缓存,RVA23合规,支持RVV向量和自定义AI/ML矩阵。 - **Veyron V3**:11+ SPECint2017率=1,最高4.2GHz,32核,128MB L3缓存,支持RISC-V标准AI/ML矩阵扩展,集成标量/向量/矩阵计算。 - **Veyron V2 (N4)**:7 SPECint2017率=1,最高3.2GHz,32核,128MB L3缓存,70W TDP,支持RVV向量和自定义AI/ML矩阵。 - **Veyron V3目标**:超线程设计,高级分支和内存预测,高并行性,宏操作优化微架构。 - **Ventana提供**:RISC-V计算和AI加速,适用于数据中心、汽车、智能边缘和客户端。 - **Ventana优势**:统一架构,可扩展性,高性能,低功耗,安全性。
RISC-V芯片性能新高峰?" RISC-V AI加速哪家强?" Ventana如何定义未来计算?"
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