CAMPBELL, Calif., May 2, 2023 — Arteris, Inc., a leading provider of system IP which accelerates system-on-chip (SoC) creation, today announced Tenstorrent has licensed Ncore and FlexNoC interconnect IP for…
Read More
The research wing of European RISC-V processor core developer Codasip and French embedded FPGA firm Menta have joined a project to build a 3D neuromorphic AI chip. Read the full…
Read More
The RT-Thread Global Tech Conference (RGTC) is an annual event that brings together developers from around the world to focus on the latest developments in RT-Thread basic software technology and…
Read More
Esperanto Technologies Inc. (Mountain View, Calif.) has announced it has ported a range of generative AI models to its RISC-V hardware. Initial work includes running a range of large language…
Read More
VyperCore Ltd. (Bristol, England), a startup with plans to develop novel processor technology, has raised £4 million (about US$5 million) in seed funding. The company was founded by Ed Nutting,…
Read More
MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--Esperanto Technologies™, the leading developer of high performance, energy-efficient artificial intelligence solutions based on the RISC-V instruction set, today announced that it has ported and is running…
Read More
At its heart, the RISC-V movement centers around the idea of democratizing processor design. With an open-source instruction set architecture (ISA) and a plethora of resources available to anyone free of…
Read More
By Laurent Arditi, Codasip During the development of a mid-range complexity RISC-V processor, you can discover hundreds or even thousands of bugs. As you introduce more advanced features, you inadvertently…
Read More
Spanish startup SemiDynamics has developed fully configurable 64bit RISC-V processor IP for high-performance chip designs in AI, Machine Learning (ML) and High-Performance Computing (HPC). The customisable cores are process agnostic…
Read More
Semidynamics has announced the first, fully customisable, 64-bit RISC-V family of cores that are ideal for handling large amounts of data for applications such as AI, Machine Learning (ML) and…
Read More