GlobalFoundries (Nasdaq: GFS) (GF) today announced a definitive agreement to acquire MIPS, a leading supplier of AI and processor IP. This strategic acquisition will expand GF's portfolio of customizable IP offerings, allowing it to further differentiate its process technologies with IP and software capabilities.

"MIPS brings a strong heritage of delivering efficient, scalable compute IP tailored for performance-critical applications, which strategically aligns with the evolving demands of AI platforms across diverse markets," said Niels Anderskouv, president and chief operating officer at GlobalFoundries. "Through this acquisition, we will expand our capabilities to offer customers more flexible solutions, paired with our differentiated process technologies and world-class manufacturing to help them build best-in-class products. This acquisition will be a powerful step forward to push the boundaries of efficiency and performance across a broad range of applications in automotive, industrial and datacenter infrastructure."

Canonical, the company behind Ubuntu, has announced that its next-generation release will require RISC‑V processors to meet the newly ratified RVA23 profile. This specification, approved back in April, includes full support for Vector Instructions 1.0 and a Hypervisor extension. As Laurine Kirk, security researcher at Google, notes, by setting this higher baseline, Ubuntu 26.04 will no longer run on roughly 90% of existing RISC-V single-board computers, including the popular Raspberry Pi-style boards, unless their hardware is upgraded. Canonical's move puts it in step with Google and Microsoft, both of which have already targeted RVA23 for their RISC‑V builds. This change will drive manufacturers to ship more secure, future-proof silicon, helping to guard against exploits like GhostWrite, a memory-access vulnerability discovered last year in T-Head's XuanTie C910 CPUs.

We discussed RISC-V ecosystem fragmentation with Andrea Gallo, then the CTO and now the CEO of the RISC-V Foundation, regarding the fragmentation within the RISC-V ecosystem. "If you want to claim that you are RISC-V compatible, then there's an architecture compatibility test suite that verifies that you are complying with the ISA. We run the same tests on a golden reference model and compare the signatures of the tests to ensure alignment with the specification." He added that "We just ratified the RVA23 Profile. The newly ratified RVA23 Profile is a major release for the RISC-V software ecosystem and will help accelerate widespread implementation among toolchains and operating systems." For anyone who wants to ship a working RISC-V processor, be it data center or mobile, the RVA23 profile is the one that guarantees no fragmentation and compatibility.

In a market reshaped by the compute demands of AI, Arteris, Inc. (Nasdaq: AIP), a leading provider of system IP for accelerating semiconductor creation, today announced an expansion of its multi-die solution, delivering a foundational technology for rapid chiplet-based innovation. "In the chiplet era, the need for computational power increasingly exceeds what is available by traditional monolithic die designs," said K. Charles Janac, president and CEO of Arteris. "Arteris is leading the transition into the chiplet era with standards-based, automated and silicon-proven solutions that enable seamless integration across IP cores, chiplets, and SoCs."

Moore's Law, predicting the doubling of transistor count on a chip every two years, is slowing down. As the semiconductor industry accelerates efforts to increase performance and efficiency, especially driven by AI workloads, architectural innovation through multi-die systems has become critical. Arteris' expanded multi-die solution addresses this shift with a suite of enhanced technologies that are purpose-built for scalable and faster time-to-silicon, high-performance computing, and automotive-grade mission-critical designs.

Red Hat, the world's leading provider of open source solutions, today introduced Red Hat Enterprise Linux 10, the evolution of the world's leading enterprise Linux platform to help meet the dynamic demands of hybrid cloud and the transformative power of AI. More than just an iteration, Red Hat Enterprise Linux 10 provides a strategic and intelligent backbone for enterprise IT to navigate increasing complexity, accelerate innovation and build a more secure computing foundation for the future.

As enterprise IT grapples with the proliferation of hybrid environments and the imperative to integrate AI workloads, the need for an intelligent, resilient and durable operating system has never been greater. Red Hat Enterprise Linux 10 rises to this challenge, delivering a platform engineered for agility, flexibility and manageability, all while retaining a strong security posture against the software threats of the future.

Flow Computing, the pioneer in licensing on-die, ultra-high-performance parallel computing solutions to CPU vendors of all architectures - today announced it has successfully achieved a critical milestone in Flow's development roadmap towards commercializing its parallel processing ecosystem. Capable of increasing any CPU architecture by up to 100X, the company has been actively developing a compiler that enables source code to take advantage of its acclaimed Parallel Processing Unit (PPU) architecture - that compiler today entered Alpha testing.

Through the first target compilations, it has been determined that simple parallel workloads consist of a massive amount of loops in RISC-V CPU models without PPU assistance. Whereas in RISC-V CPU models incorporating the PPU, the amount of these loops is significantly reduced by recompiling the existing code, demonstrable proof that it is indeed possible to achieve a significant performance boost with a PPU-enhanced CPU design at up to 100X performance.

DeepComputing has just unveiled "the world's first" RISC-V AI PC, available now for the developer community. This machine, called the DC-ROMA RISC-V AI PC, is built on Framework's modular laptop platform and powered by ESWIN Computing's advanced EIC7702X SoC with 8 SiFive P550 CPU cores. The system comes pre-installed with Ubuntu Desktop 24.04 LTS and beside the RISC-V CPU it sports a powerful 40 TOPS NPU, vector processing cluster (12-bit-wide vector 8-core), support for 8K @50 FPS video encoding, and capacity for up to 64 GB LPDDR5 memory and NVMe storage (up to 1 TB). All this makes it suitable for serious development work and AI experimentation.

According to DeepComputing's CEO Yuning Liang, the AI PC was created "to empower developers who believe in local-first AI, open innovation, and sustainable computing" and represents "a foundational step toward a more open and privacy-respecting digital future."

Semidynamics, the only provider of fully customizable RISC-V processor IP, announces Cervell, a scalable and fully programmable Neural Processing Unit (NPU) built on RISC-V. Cervell combines CPU, vector, and tensor capabilities in a single, unified all-in-one architecture, unlocking zero-latency AI compute across applications from edge AI to datacenter-scale LLMs.

Delivering up to 256 TOPS (Tera Operations Per Second) at 2 GHz, Cervell scales from C8 to C64 configurations, allowing designers to tune performance to application needs—from 8 TOPS INT8 at 1 GHz in compact edge deployments to 256 TOPS INT4 in high-end AI inference.

Espressif Systems announced ESP32-C5, the industry's first RISC-V SoC that supports 2.4 GHz and 5 GHz dual-band Wi-Fi 6, along with Bluetooth 5 (LE) and IEEE 802.15.4 (Zigbee, Thread) connectivity. Today, we are glad to announce that ESP32-C5 is now in mass production.

ESP32-C5 is designed for applications that require high-efficiency, low-latency wireless transmission. ESP32-C5 has a 32-bit single-core processor which can clock up to 240 MHz in speed. It has a 384 KB on-chip SRAM along with external PSRAM support, 320 KB of ROM. It has up to 29 programmable GPIOs, supporting all the commonly used peripherals, high speed interfaces like SDIO, QSPI, and the best-in-class security features. The ESP32-C5 also includes an LP-CPU running up to 40 MHz which can act as the main processor for power sensitive applications. To learn more about the various capabilities and features of this MCU, please visit our website.

Tenstorrent launched the next generation Blackhole chip family today at their DevDay event in San Francisco. Featuring all new RISC-V cores, Blackhole is built to handle massive AI workloads efficiently and offers an infinitely scalable solution.

Blackhole products are now available for order on tenstorrent.com:

• Blackhole p100, powered by one processor without Ethernet, active-cooled: available for $999
• Blackhole p150, powered by one processor with Ethernet, and available in passive-, active-, and liquid-cooled variants: available for $1,299
• TT-Quiet box, a liquid-cooled desktop workstation powered by 4 Blackhole processors: available for $11,999

RiVAI Technologies, a Shenzhen-based semiconductor firm founded in 2018, unveiled this first fully domestic high-performance RISC-V server processor designed for compute-intensive applications. The Lingyu CPU features 32 general-purpose computing cores working alongside eight specialized intelligent computing cores (LPUs) in a heterogeneous "one-core, dual architecture" design. It aims for performance comparable to current x86 server processors, with the chip implementing optimized data pathways and enhanced pipelining mechanisms to maintain high clock frequencies under computational load. The architecture specifically targets maximum throughput for parallel processing workloads typical in data center environments. The chip aims to serve HPC clusters, all-flash storage arrays, and AI large language model inference operations.

Since its inception, RiVAI has accumulated 37 RISC-V-related patents and established partnerships with over 50 industry collaborators, including academic research relationships. Professor David Patterson, a RISC-V architecture pioneer, provides technical guidance to the company's development efforts. The processor's dual-architecture approach enables dynamic workload distribution between conventional processing tasks and specialized computational operations, potentially improving performance-per-watt metrics compared to traditional single-architecture designs. The Lingyu launch significantly advances China's semiconductor self-sufficiency strategy, potentially accelerating RISC-V ecosystem development while providing Chinese data centers with domestically engineered high-performance computing solutions, ultimately bypassing x86 and Arm solutions.

According to a Reuters technology report, Meta's engineering department is engaged in the testing of their "first in-house chip for training artificial intelligence systems." Two inside sources have declared this significant development milestone; involving a small-scale deployment of early samples. The owner of Facebook could ramp up production, upon initial batches passing muster. Despite a recent-ish showcasing of an open-architecture NVIDIA "Blackwell" GB200 system for enterprise, Meta leadership is reported to be pursuing proprietary solutions. Multiple big players—in the field of artificial intelligence—are attempting to breakaway from a total reliance on Team Green. Last month, press outlets concentrated on OpenAI's alleged finalization of an in-house design, with rumored involvement coming from Broadcom and TSMC.

One of the Reuters industry moles believes that Meta has signed up with TSMC—supposedly, the Taiwanese foundry was responsible for the production of test batches. Tom's Hardware reckons that Meta and Broadcom were working together with the tape out of the social media giant's "first AI training accelerator." Development of the company's "Meta Training and Inference Accelerator" (MTIA) series has stretched back a couple of years—according to Reuters, this multi-part project: "had a wobbly start for years, and at one point scrapped a chip at a similar phase of development...Meta last year, started using an MTIA chip to perform inference, or the process involved in running an AI system as users interact with it, for the recommendation systems that determine which content shows up on Facebook and Instagram news feeds." Leadership is reportedly aiming to get custom silicon solutions up and running for AI training by next year. Past examples of MTIA hardware were deployed with open-source RISC-V cores (for inference tasks), but is not clear whether this architecture will form the basis of Meta's latest AI chip design.

Codasip, the European RISC-V leader, announced that it has been selected to provide a general purpose, high-end processor as part of the large-scale European supercomputing project Digital Autonomy with RISC-V in Europe (DARE).

DARE is set to build a supercomputing compute stack, featuring high-performance and energy-efficient RISC-V-based processors and accelerators designed and developed in Europe. The European Union has committed 240 million Euros in funding for the first 3-year program phase. The selected partners will leverage hardware/software co-design to achieve competitive performance and efficiency.

Damo Academy—a research and development wing of Alibaba—launched its debut "server-grade processor" design late last week, in Beijing. According to a South China Morning Post (SCMP) news article, the C930 model is a brand-new addition to the e-commerce platform's XuanTie RISC-V CPU series. Company representatives stated that their latest product is designed as a server-level and high-performance computing (HPC) solution. Going back to March 2024, TechPowerUp and other Western hardware news outlets picked up on Alibaba's teasing of the Xuantie C930 SoC, and a related Xuantie 907 matrix processing unit. Fast-forward to the present day; Damo Academy has disclosed that initial shipments—of finalized C930 units—will be sent out to customers this month.

The newly released open-source RISC-V architecture-based HPC chip is an unknown quantity in terms of technical specifications. Damo Academy reps did not provide any detailed information during last Friday's conference (February 28). SCMP's report noted the R&D division's emphasizing of "its role in advancing RISC-V adoption" within various high-end fields. Apparently, the XuanTie engineering team has: "supported the implementation of more than thirty percent of RISC-V high-performance processors." Upcoming additions will arrive in the form of the C908X for AI acceleration, R908A for automotive processing solutions, and an XL200 model for high-speed interconnection. These XuanTie projects are reportedly still deep in development.

On February 27-28, the 2025 China RISC-V Ecosystem Conference was grandly held at the Zhongguancun International Innovation Center in Beijing. As a core promoter in the RISC-V field, SOPHGO was invited to deliver a speech and prominently launch a series of new products based on the SG2044 chip, sharing the company's cutting-edge practices in the heterogeneous fusion of AI and RISC-V, and contributing to the vigorous development of the global open-source instruction set ecosystem. During the conference, SOPHGO set up a distinctive exhibition area that attracted many attendees from the industry to stop and watch.

Focusing on AI Integration, Leading Breakthroughs in RISC-V Technology
At the main forum of the conference, the Vice President of SOPHGO RISC-V delivered a speech titled "RISC-V Breakthroughs Driven by AI: Integration + Heterogeneous Innovation," where he elaborated on SOPHGO's innovative achievements in the deep integration of RISC-V architecture and artificial intelligence technology. He pointed out that current AI technological innovations are driving market changes, and the emergence of DeepSeek has ignited a trillion-level computing power market. The innovation of technical paradigms and the penetration of large models into various sectors will lead to an explosive growth in inference demand, resulting in changes in the structure of computing power demand. This will also reshape the landscape of the computing power market, bringing significant business opportunities to domestic computing power enterprises, while RISC-V high-performance computing is entering a fast track of development driven by AI.

AheadComputing today announced it has secured $21.5M in seed funding to rapidly develop and commercialize its breakthrough microprocessor architecture designed to meet the new, unique computing demands across AI, cloud, and edge devices. The funding was led by Eclipse, with participation from Maverick Capital, Fundomo, EPIQ Capital Group, LLC, and legendary CPU architect and current Tenstorrent CEO Jim Keller, who developed cutting-edge semiconductors for Apple, AMD, Tesla, and Intel.

Today, general-purpose computing faces unprecedented challenges due to the rapid expansion of AI and machine learning workloads. A recent report found that 82% of organizations experienced performance issues with their AI workloads over the past year, primarily due to bandwidth shortages and data processing limitations. While specialized accelerators dominate headlines, they rely heavily on general-purpose processors for critical tasks before, after, and in-between AI operations. Existing architectures have struggled to keep pace with the demands of these emerging workloads, creating a bottleneck in compute performance that impacts industries ranging from cloud to edge computing. AheadComputing addresses this critical gap by providing innovative solutions designed to transform how general-purpose computing meets modern demands.

Baya Systems, a leader in system IP technology that empowers the acceleration of intelligent compute, and Semidynamics, a provider of fully customizable high-bandwidth and high-performance RISC-V processor IP, today announced a collaboration to boost innovation in development of hyper-efficient, next-generation platforms for artificial intelligence (AI), machine learning (ML) and high-performance computing (HPC) applications.

The collaboration integrates Semidynamics' family of 64-bit RISC-V processor IP cores, known for their exceptional memory bandwidth and configurability, with Baya Systems' innovative WeaveIP Network on Chip (NoC) system IP. WeaveIP is engineered for ultra-efficient, high-bandwidth, and low-latency data transport, crucial for the demands of modern workloads. Complementing this is Baya Systems' software-driven WeaverPro platform, which enables rapid system-level optimization, ensuring that key performance indicators (KPIs) are met based on real-world workloads while providing unparalleled design flexibility for future advancements.

We're happy to share that DeepComputing's DC-ROMA RISC-V Mainboard for Framework Laptop 13 is now in stock and shipping in the Framework Marketplace. This is very much a developer-focused board to help accelerate maturing the software ecosystem around RISC-V, so we recommend waiting for future RISC-V products if you're looking for a consumer-ready experience. We shared more detail on the Mainboard in an earlier blog post and video, but as a quick summary, this is powered by a StarFive JH7110 processor that uses the open source RISC-V ISA. The team at DeepComputing designed it to drop directly into a Framework Laptop 13 chassis or Cooler Master Mainboard Case. They have published setup guides for the hardware and for installing Ubuntu and Fedora.

To make it easier to jump into using a new partner-developed Mainboard or reusing an old one, we're also introducing the Framework Laptop 13 Shell today. This is a complete Framework Laptop 13 chassis with everything except for the Mainboard, memory, storage, and Wi-Fi. We're eager to continue making Framework products excellent platforms to extend on. Modularity and open source documentation is good for everyone!

Recently, SpacemiT, a RISC-V AI CPU company from China, announced breakthrough progress in the development of its server CPU chip SpacemiT Vital Stone V100. It now provides a complete RISC-V CPU chip hardware and software platform that fully supports server specifications.

RISC-V CPU core X100, AIA and APLIC supporting interrupt virtualization, IOMMU supporting memory virtualization, IOPMP supporting security functions, LPC and eSPI supporting communication with mainstream BMCs, etc.

• The 64-bit server-grade RISC-V CPU core X100 delivers a single-core performance of >9 points/GHz on SPECINT2006 at 2.5 GHz 12 nm. X100 supports the RVA23 Profile, full virtualization (Hypervisor 1.0, AIA 1.0, IOMMU), RAS features, Vector 1.0 extension, vector encryption and decryption, security, 64-core interconnect, and more.
• The IOMMU IP adheres to the RISC-V IOMMU architecture specification and the AXI4-Stream DTI interface, supporting configurable DID, PID, virtual address, physical address width, and various levels of translation cache sizes. It can be flexibly integrated into different locations within the SoC bus system to enable distributed peripheral virtualization and accelerator acceleration.

Axelera AI - a leading edge-inference company - and Arduino, the global leader in open-source hardware and software, today announced a strategic partnership to make high-performance AI at the edge more accessible than ever, building advanced technology solutions based on inference and an open ecosystem. This furthers Axelera AI's strategy to democratize artificial intelligence everywhere.

The collaboration will combine the strengths of Axelera AI's Metis AI Platform with the powerful SOMs from the Arduino Pro range to provide customers with easy-to-use hardware and software to innovate around AI. Users will enjoy the freedom to dictate their own AI journey, thanks to tools that provide unique digital in-memory computing and RISC-V controlled dataflow technology, delivering high performance and usability at a fraction of the cost and power of other solutions available today.

Santa Clara, CA: Tenstorrent is announcing that it has closed over $693M in its Series D funding round at a pre-money valuation of $2B. Samsung Securities and AFW Partners led the round, which was oversubscribed due to strong demand from investors. Samsung and AFW both have deep relationships with Tenstorrent, and a strong history of investing in pioneering technology companies.

In addition to the leads, many notable investors joined the round including XTX Markets, Corner Capital, MESH, Export Development Canada, Healthcare of Ontario Pension Plan, LG Electronics, Hyundai Motor Group, Fidelity, Baillie Gifford, Bezos Expeditions, and more.

For over half a century, general-purpose processors have been built on the Tomasulo algorithm, developed by IBM engineer Robert Tomasulo in 1967. It's a $500B industry built on specialized CPU, GPU and other chips for different computing tasks. Hardware startup Ubitium has shattered this paradigm with a breakthrough universal processor that handles all computing workloads on a single, efficient chip - unlocking simpler, smarter, and more cost-effective devices across industries - while revolutionizing a 57-year-old industry standard.

Alongside this, Ubitium is announcing a $3.7 million in seed funding round, co-led by Runa Capital, Inflection, and KBC Focus Fund. The investment will be used to develop the first prototypes and prepare initial development kits for customers, with the first chips planned for 2026.

LG Electronics (LG) and Tenstorrent are pleased to announce an expanded collaboration, building on their initial chiplet project to develop System-on-Chips (SoCs) and systems for the global market. Through this partnership, LG aims to enhance its design and development capabilities for AI chips tailored to its products and services, aligning with its vision of "Affectionate Intelligence." LG is dedicated to advancing AI-driven innovation, with a focus on enhancing its AI-powered home appliances and smart home solutions, as well as expanding its capabilities in future mobility and commercial applications.

Recognizing the critical role of high-performance AI semiconductors in implementing AI technology, LG plans to strengthen its in-house development capabilities while collaborating with leading global companies, including Tenstorrent, to boost its AI competitiveness.

RISC-V is an industry standard instruction set architecture (ISA) born in UC Berkeley. RISC-V is the fifth iteration in the lineage of historic RISC processors. The core value of the RISC-V ISA is the freedom of usage it offers. Any organization can leverage the ISA to design the best possible core for their specific needs, with no regional restrictions or licensing costs. It attracts a massive ecosystem of developers and companies building systems using the RISC-V ISA. To support these efforts and grow the ecosystem, the brains behind RISC decided to form RISC-V International—a non-profit foundation that governs the ISA and guides the ecosystem.

We had the privilege of talking with Andrea Gallo, Vice President of Technology at RISC-V International. Andrea oversees the technological advancement of RISC-V, collaborating with vendors and institutions to overcome challenges and expand its global presence. Andrea's career in technology spans several influential roles at major companies. Before joining RISC-V International, he worked at Linaro, where he pioneered Arm data center engineering initiatives, later overseeing diverse technological sectors as Vice President of Segment Groups, and ultimately managing crucial business development activities as executive Vice President. During his earlier tenure as a Fellow at ST-Ericsson, he focused on smartphone and application processor technology, and at STMicroelectronics he optimized hardware-software architectures and established international development teams.

During the 2024 RISC-V Summit in Santa Clara, California, NVIDIA was one of the presenting members. RISC-V, being a free and open-source instruction set architecture, is an interesting choice for many companies looking to develop custom solutions. NVIDIA designs accelerators for AI and graphics processing, all of which are equipped with up to tens of thousands of cores. To manage these cores, NVIDIA has developed a custom RISC-V processor called "NV-RISCV," which is a replacement for its predecessor "Falcon." Unlike Falcon, NV-RISCV is based on an open-source ISA and is customized much more deeply, with features like more customized caches and special instructions. Initially, the company reported better performance over its Falcon GPU System Processor (GSP), and NV-RISCV is now running in millions of NVIDIA chips.

Thanks to a post on X by Nick Brown, we learn that NVIDIA is shipping roughly one billion RISC-V cores in the year 2024. Each NVIDIA chip includes between 10 and 40 RISC-V cores, depending on the chip size and complexity. Some more complex designs, like GB200, require massive data coordination, meaning that more cores are needed to handle these requests and distribute them. This includes chip-to-chip interfaces, context switching, memory controller, camera handling, video codecs, display output, resource management, power management, and more. NVIDIA has developed a total of over 20 custom extensions for RISC-V cores, which all serve their specific use cases.

DeepComputing, a pioneer in RISC-V innovation, today announced a strategic partnership with Andes Technology Corporation, a leading provider of high-efficiency, low-power 32/64-bit RISC-V processor cores. Together, the two companies collaborate to develop the world's first RISC-V AI PC, powered by Andes' 7 nm QiLai SoC. This innovated low-power PC will come equipped with Ubuntu Desktop and aims to redefine AI computing by combining industry-leading hardware and software designed specifically for RISC-V.

The collaboration marks a significant milestone in the evolution of AI PCs, which utilize artificial intelligence to enhance productivity, creativity, entertainment, security, and more. The power-efficient RISC-V AI PC, based on the QiLai SoC, integrates a multi-core CPU, vector processor, GPU, and various peripherals for optimal performance, and AI workload handling. This product is designed to cater to developers and enterprises looking for advanced, open-standard RISC-V solutions.