Back to home
Technology

Qualcomm’s Ventana acquisition points to a long-term RISC-V strategy to complement its Arm lineup

Source

Tom's Hardware

Published

TL;DR

AI Generated

Qualcomm has acquired Ventana Micro Systems, a RISC-V CPU specialist, to complement its Arm lineup and expand its compute ambitions beyond smartphones. The acquisition provides Qualcomm with a mature RISC-V design team and expertise in scalable, out-of-order RISC-V cores, enhancing its long-term architectural flexibility. While Qualcomm remains committed to Arm-based cores in its smartphone and PC businesses, the addition of RISC-V capabilities allows the company to diversify its architectural exposure without a clean break. The move also positions Qualcomm to compete in industrial, automotive, and AI markets where RISC-V is gaining traction, offering greater control over silicon roadmaps and reducing dependence on external roadmaps.

Read Full Article

Similar Articles

AI agent designs a complete RISC-V CPU from a 219-word spec sheet in just 12 hours — comparably simple design required 'many tens of billions of tokens'

AI agent designs a complete RISC-V CPU from a 219-word spec sheet in just 12 hours — comparably simple design required 'many tens of billions of tokens'

Verkor.io's AI system, Design Conductor, autonomously designed a complete RISC-V CPU core from a 219-word spec sheet in just 12 hours, a significantly faster timeline compared to traditional chip design processes. The resulting processor, VerCore, is a five-stage pipelined core that achieved a CoreMark score of 3,261. While the system showed impressive capabilities, it still requires human experts to guide it towards a production-ready chip, and the compute requirements increase non-linearly with design complexity. Verkor plans to release VerCore's RTL source and build scripts soon and showcase an FPGA implementation at the Electronic Design Automation Conference.

Tom's Hardware
Intel launches Wildcat Lake as Core Series 3 for value laptops and edge systems — six consumer SKUs built on 18A promise 'all-day' battery life

Intel launches Wildcat Lake as Core Series 3 for value laptops and edge systems — six consumer SKUs built on 18A promise 'all-day' battery life

Intel has unveiled its Core Series 3 mobile processors, known as Wildcat Lake, featuring six consumer SKUs and one edge-only variant, all built on 18A technology promising extended battery life. The lineup includes various configurations with P-cores, E-cores, NPUs, and Xe3 integrated GPUs, offering up to 40 platform TOPS and hybrid AI capabilities. Memory support tops out at LPDDR5x-7467 or DDR5-6400 in a single-channel setup, with performance improvements compared to previous generations. Initial laptop designs from Acer, HP, MSI, and others are set to launch, targeting students, small businesses, and edge deployments.

Tom's Hardware
Geekbench 6.7 adds Intel BOT detection to spoof out 'unrealistic' CPU scores — Benchmark runs with BOT enabled will be marked as invalid

Geekbench 6.7 adds Intel BOT detection to spoof out 'unrealistic' CPU scores — Benchmark runs with BOT enabled will be marked as invalid

Geekbench 6.7 has introduced Intel BOT detection to flag benchmark results with the Binary Optimization Tool (BOT) as invalid. The BOT feature, supported by Intel's latest Core Ultra chips, can selectively boost performance in specific tasks, leading to concerns about unrealistic performance representations. Geekbench's update aims to maintain fair benchmarking by identifying and invalidating results with BOT enabled. Additionally, the update includes improvements like enhanced SoC identification on Android and better support for RISC-V processors and Arm-based Linux systems.

Tom's Hardware
Architecting Intelligence: The Rise of RISC-V CPUs in Agentic AI Infrastructure

Architecting Intelligence: The Rise of RISC-V CPUs in Agentic AI Infrastructure

SiFive's recent $400 million Series G financing marks a significant milestone in the development of high-performance RISC-V CPUs tailored for agentic AI data center workloads. The funding aims to accelerate next-gen CPU IP, software ecosystem growth, and hyperscale deployment capabilities to address emerging compute challenges in AI infrastructure. CPUs are increasingly crucial in agentic AI systems due to their efficiency in handling complex control flow and orchestration tasks compared to GPUs and specialized accelerators. RISC-V's modular architecture allows for tailored extensions that enhance efficiency in handling diverse AI workloads. The focus is on integrating scalar pipelines with vector and matrix compute units to reduce memory bandwidth overhead and improve power efficiency, crucial as AI clusters scale. The investment also emphasizes expanding software compatibility and enabling customer-specific CPU customization to meet evolving AI workload demands.

SemiWiki

We use cookies

We use cookies to ensure you get the best experience on our website. For more information on how we use cookies, please see our cookie policy.