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SiFive Leadership in the Rapidly-Growing Embedded Market

SiFive Leadership in the Rapidly-Growing Embedded Market

Oct 28, 2024
In June 2024, SiFive announced the 4th generation of its Essential Product line. Products from the Essential family are already deployed in billions of consumer and IoT products including smartphones, sensors, SSDs, FPGA platforms, surveillance cameras, smartwatches and more. This new release contai...
Exploring the Ongoing Debate: Is RISC-V Rigid or Flexible?

Exploring the Ongoing Debate: Is RISC-V Rigid or Flexible?

Oct 24, 2024
At the RISC-V Summit in North America this week, RISC-V International announced that the RVA23 Profile has been ratified. The fundamental objective behind RVA Profiles is to ensure software portability across hardware implementations.. This announcement reminded me of an important question that Krst...
SiFive HiFive: The Vital Role of Development Boards in Growing The RISC-V Ecosystem + HiFive Premier P550 Update

SiFive HiFive: The Vital Role of Development Boards in Growing The RISC-V Ecosystem + HiFive Premier P550 Update

Oct 21, 2024
Reflecting on how far we’ve come since SiFive launched the world’s first RISC-V development boards back in 2016, it’s clear we’ve been on an incredible journey together with the RISC-V software community. Those early boards, like the HiFive1, were game-changers—true ignitors for the entire RISC-V re...
SiFive; Empowering A New Era of Data Center Innovation

SiFive; Empowering A New Era of Data Center Innovation

Oct 14, 2024
SiFive’s mission is to create the best computing solutions in the world so our customers can deliver differentiated, best-in-class products. We do this not only by building great intellectual property (IP), but also by driving the RISC-V ecosystem forward. The open standard RISC-V architecture is t...
LLM Optimization and Deployment on SiFive RISC-V Intelligence Products

LLM Optimization and Deployment on SiFive RISC-V Intelligence Products

Oct 10, 2024
Large language models (LLMs) have become essential to numerous applications, thanks to their powerful capabilities in natural language understanding and text generation. However, their large model sizes and high computational demands present significant challenges for efficient deployment and real-t...