Menu

SiFive Bumps Up Performance for RISC-V HCP, AI Systems

SiFive Bumps Up Performance for RISC-V HCP, AI Systems

The News: SiFive has launched two new reduced instruction set computer (RISC-V) systems, the Performance P870 and Intelligence X390, designed to address requirements for high performance compute through low power, compute density, and vector compute capability. You can read the news release at the SiFive website.

SiFive Bumps Up Performance for RISC-v HCP, AI Systems

Analyst Take: SiFive, founded by the inventors of the RISC-V open standard, who came from the University of California, Berkeley, has set out to bring commercial grade RISC-V microprocessor intellectual property (IP) to market. The company employs more than 500 engineers.

SiFive’s RISC-V Market Strategy

Startup SiFive is considered a “unicorn” with a valuation of more than $250 billion after it raised more than $350 million in venture capital. However, SiFive competes in the semiconductor market against entrenched incumbents such as Intel, AMD, and ARM. The semiconductor market has been a tough place for newcomers to survive. SiFive aims to disrupt traditional models by offering a more flexible and customizable solution, accelerating the democratization of chip design and potentially reshaping the industry.

SiFive needs to produce innovative solutions for AI and machine learning (ML) to deliver increased performance per watt efficiency and better overall end-user experiences. This requires differentiating in areas such as vector computing for AI and high-performance applications processors. SiFive’s early push has been in the automotive, aerospace, and defense industries but it is looking to expand into more markets with its new upgraded systems.

The SiFive Performance P870 and SiFive Intelligence X390 are engineered for high performance compute across markets including consumer, automotive, and infrastructure sectors. When used in tandem, the products offer a combination of scalar and vector compute capabilities, suitable for data-intensive operations and AI applications.

The Performance P870 is SiFive’s third-generation applications processor. It is aimed at high-performance consumer applications or for use with a vector processor in the data center. It brings a 50% peak single thread performance upgrade (specINT2k6) over the previous generation SiFive Performance processors. The P870 is a six-wide out-of-order core that meets the RVA 23 profile and offers a shared cluster cache enabling up to a 32-core cluster. The P870 is fully compatible with Google’s platform requirements for Android on RISC-V.

The SiFive Intelligence X390 builds on the Intelligence X280 used by Google, NASA, and other organizations, which couples AI/ML applications with hardware accelerators in mobile, infrastructure, and automotive applications. SiFive claims the X390 brings a 4x improvement to vector computation with its single core configuration, doubled vector length, and dual vector arithmetic-logic units (ALUs). This enables quadruple the amount of sustained data bandwidth. The SiFive Vector Coprocessor Interface eXtension (VCIX) allows customers to add their own vector instructions and/or acceleration hardware to increase performance with custom instructions.

Where SiFive Fits in the Chip Landscape

SiFive, Intel, ARM, and AMD serve as critical entities within the semiconductor landscape but operate under different paradigms and target different market niches. Intel and AMD primarily use the x86 architecture, focusing on high-performance central processing units (CPUs) for general-purpose computing needs in consumer, enterprise, and data center markets. ARM takes a different approach, licensing its power-efficient architecture to other firms; it has a strong presence in mobile and embedded systems. SiFive employs the open-source RISC-V architecture, allowing for high customization and adaptability for specific use-cases such as IoT, edge computing, high-performance computing (HPC), and AI.

The business models also vary considerably among these players. Intel and AMD manufacture and sell their chips directly, while ARM and SiFive license their designs to other companies. However, SiFive distinguishes itself by leveraging an open-source architecture, making the scope for innovation more democratized. In terms of strategic implications, Intel and AMD need to evolve their legacy architectures continually to stay competitive, especially given ARM’s inroads into the server market. ARM’s $4.9 billion initial public offering (IPO)―the biggest in tech since 2019―shows the value of this market.

Disclosure: The Futurum Group is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.

Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of The Futurum Group as a whole.

Other insights from The Futurum Group:

ARM Goes Public with Successful Debut

Intel’s FPGA Unit Becoming a Separate Business To Drive Growth

AMD Datacenter & AI Conference Recap

Author Information

Steven engages with the world’s largest technology brands to explore new operating models and how they drive innovation and competitive edge.

Dave focuses on the rapidly evolving integrated infrastructure and cloud storage markets.

Related Insights
CIO Take Smartsheet's Intelligent Work Management as a Strategic Execution Platform
December 22, 2025

CIO Take: Smartsheet’s Intelligent Work Management as a Strategic Execution Platform

Dion Hinchcliffe analyzes Smartsheet’s Intelligent Work Management announcements from a CIO lens—what’s real about agentic AI for execution at scale, what’s risky, and what to validate before standardizing....
Micron Technology Q1 FY 2026 Sets Records; Strong Q2 Outlook
December 18, 2025

Micron Technology Q1 FY 2026 Sets Records; Strong Q2 Outlook

Futurum Research analyzes Micron’s Q1 FY 2026, focusing on AI-led demand, HBM commitments, and a pulled-forward capacity roadmap, with guidance signaling continued strength into FY 2026 amid persistent industry supply...
NVIDIA Bolsters AI/HPC Ecosystem with Nemotron 3 Models and SchedMD Buy
December 16, 2025

NVIDIA Bolsters AI/HPC Ecosystem with Nemotron 3 Models and SchedMD Buy

Nick Patience, AI Platforms Practice Lead at Futurum, shares his insights on NVIDIA's release of its Nemotron 3 family of open-source models and the acquisition of SchedMD, the developer of...
Broadcom Q4 FY 2025 Earnings AI And Software Drive Beat
December 15, 2025

Broadcom Q4 FY 2025 Earnings: AI And Software Drive Beat

Futurum Research analyzes Broadcom’s Q4 FY 2025 results, highlighting accelerating AI semiconductor momentum, Ethernet AI switching backlog, and VMware Cloud Foundation gains, alongside system-level deliveries....
Synopsys Q4 FY 2025 Earnings Highlight Resilient Demand, Ansys Integration
December 12, 2025

Synopsys Q4 FY 2025 Earnings Highlight Resilient Demand, Ansys Integration

Futurum Research analyzes Synopsys’ Q4 FY 2025 results, highlighting AI-era EDA demand, Ansys integration momentum, and the NVIDIA partnership....
Hewlett Packard Enterprise Q4 FY 2025 ARR Surges as AI Orders Build
December 8, 2025

Hewlett Packard Enterprise Q4 FY 2025: ARR Surges as AI Orders Build

Futurum Research analyzes HPE’s Q4 FY 2025 results, highlighting networking-led margin resiliency, AI server order momentum, and GreenLake ARR growth....

Book a Demo

Newsletter Sign-up Form

Get important insights straight to your inbox, receive first looks at eBooks, exclusive event invitations, custom content, and more. We promise not to spam you or sell your name to anyone. You can always unsubscribe at any time.

All fields are required






Thank you, we received your request, a member of our team will be in contact with you.