Physical Design Methodology Engineer - AI Hw Ip

Tenstorrent opens OCA chiplet harness beta under Apache 2.0 - unite.ai. Tenstorrent released the open source beta of the Open Chiplet Atlas (OCA) Harness on October 22, 2026, the company announced. The Harness is a chiplet design framework that turns the OCA interoperability architecture into reusable, deployable implementations. The OCA Specification defines the rules that let chiplets from different vendors work together across the software, system, protocol, transport, and physical layers. The Harness builds those rules into the infrastructure every chiplet needs: security, boot, system management, debug and test, and die-to-die integration. Tenstorrent said chiplet teams that use the Harness can lower non-recurring engineering (NRE) costs and integration risk, and spend more of their time on the application logic that sets their chiplet apart. "The OCA architecture gives chiplet designers the freedom to build without depending on a single vendor," said Wei-Han Lien, Chief CPU Architect and Senior Fellow at Tenstorrent. "The Harness gives teams a reference design that reduces integration complexity so they can focus on their core IP and launch custom silicon." Inside the beta release. The beta includes the complete Harness RTL along with three management subsystems. The OCA Security Processor serves as the chiplet's root of trust, providing secure boot, measurement, key management, and lifecycle control. The OCA System Management Controller (SMC) manages system bring-up, clocks, power, thermal, reset coordination, and telemetry, and implements the OCA-defined boot and configuration protocols that peer chiplets use. Debug and Test Ports (DTP) provide uniform cross-chiplet debug and test access, including JTAG and OCA cross-trigger support. The OCA System Management Unit (SMU) brings these subsystems together, and the OCA AoU implementation carries native AXI4 traffic over UCIe die-to-die links between chiplets. A C++/SystemC virtual platform lets teams start firmware development before RTL simulation or silicon. The tt-oca-harness repository on GitHub mirrors that structure: its hw/sys directory holds the smc, sep, smu, and dtp subsystems, hw/ip holds reusable IP blocks including jtag, uart, and cross_trigger, and hw/common holds shared primitives with TL-UL and AXI infrastructure plus the register flow. Contributors and partner statements. BOS Semiconductors contributed the original AXI-over-UCIe RTL, and lowRISC helped open source the Harness. VNChip Labs and Signaloid are OCA ecosystem partners with contributions in progress. Quang Le, VP of Engineering and Co-Founder at VNChip Labs, said the OCA ecosystem provides a common, proven foundation that can reduce development risk, accelerate time to silicon, and create a more level playing field for companies of all sizes. Signaloid CEO and Founder Phillip Stanley-Marbell described his company's product as a compute accelerator for computing with probability distributions. "By removing integration friction, the OCA Harness allows our accelerator IP to tap seamlessly into a thriving and open chiplet ecosystem," he said, adding that this makes it easier to integrate across a wide variety of complete systems and SiPs with lower NRE costs and faster time-to-market. The Open Chiplet Atlas Ecosystem. The Harness is one component of the broader Open Chiplet Atlas Ecosystem, which Tenstorrent launched on October 22, 2025, at an event in San Francisco. More than 50 partners were involved at launch, ranging from semiconductor companies and global conglomerates to academic institutions. Tenstorrent organizes that ecosystem around three pillars. The Architecture pillar is an open architecture defining chiplet interoperability across five layers: physical, transport, protocol, system, and software. The Harness pillar is the open-source, reusable design framework containing the non-application logic a chiplet needs, which Tenstorrent says lets designers focus on their own value-add while keeping their chiplets interoperable. The Compliance pillar covers pre-silicon verification and post-silicon validation, including a Golden Chiplet for testing and community Plugfests. Tenstorrent describes the OCA Architecture as modular, open-source, and ISA- and IP-neutral, with specifications and frameworks developed transparently and available on a royalty-free basis. Draft v0.7 of the OCA Architecture Specification was published for public review at the launch. Backers named at launch included AIDC, Axelera AI, BOS Semiconductors, LG, Preferred Networks, Rapidus, and VeriSilicon, along with research institutions such as the Barcelona Supercomputing Center. Licensing and availability. According to the repository README, the main repository is the entry point to a family of Tenstorrent-owned ecosystem repositories: tt-oca-harness-aou holds the AXI-over-UCIe Bridge (AoU) RTL; tt-oca-harness-model provides a virtual platform of the harness for rapid prototyping; and tt-oca-manifest defines the OCA boot manifest format and provides producer and consumer tooling for the secure boot images the SEP subsystem loads. The published documentation set comprises a Getting Started Guide covering setup, workflows, and contribution; a Technical Reference Manual covering architecture and registers; an Integrator Guide for integrating the OCA Harness into a chiplet design; a Programmer's Guide covering the register programming model and firmware interfaces; Application Notes; a verification dashboard that serves as a single entry point for the design-verification status of every OCA Harness IP and subsystem; and per-subsystem datasheets for the SMC, SEP, SMU, DTP, and AoU. The Harness code is licensed under the Apache License 2.0, with documentation and images under CC-BY-4.0, and contributions are accepted under Apache 2.0. Tenstorrent said it designed the beta for early adopters, integrators, and contributors. The full release is targeted for January 2027.

PFN and Tenstorrent selected for NEDO project on "xpu Design and Development Incorporating Photonics Electronics Integration Technology" October 21, 2026 7:09 AM Gift Article Preferred Networks and Tenstorrent to begin R&D of High-Performance and Energy-Efficient AI Processors Incorporating Photonics-Electronics Integration Technology TOKYO, JP / ACCESS Newswire / October 21, 2026 / Preferred Networks, Inc. (PFN) and Tenstorrent USA, Inc. (Tenstorrent) have announced today that their joint proposal has been selected by Japan's New Energy and Industrial Technology Development Organization (NEDO) for the theme "xPU Design and Development Incorporating Photonics-Electronics Integration Technology" (*1) under the NEDO-sponsored "Research and Development Project of the Enhanced Infrastructures for Post-5G Information and Communication Systems / Development of manufacturing technologies for advanced semiconductors." AI models and workloads continue to increase in size and computational complexity, and are being adopted across a wide range of industries. This rapid growth has further increased the compute needed for model training and inference, driving demand for more scalable and efficient AI infrastructure. Through a joint research and development project, PFN and Tenstorrent aim to develop a system-level integration of AI processors that delivers high performance and high efficiency for both training and inference. The project targets the next wave of AI deployment across diverse industrial and academic fields, including agentic AI, physical AI, and scientific AI. As part of the project, PFN and Tenstorrent will conduct a research and development program for five years based on the division of responsibilities outlined below. The companies will subsequently work to commercialize the research outcomes for applications including AI agents. * Development of system integration technologies for AI processors leveraging photonics-electronics integration and advanced packaging technologies (PFN and Tenstorrent) * Development of AI chiplets with ultra-high memory bandwidth enabled by 3D memory stacking technologies based on leading-edge semiconductor process technologies (PFN) * Development of CPU chiplets built on an open architecture, which support confidential computing (Tenstorrent) The following activities will be carried out in collaboration with subcontractors: * Research and development of domain-specific applications toward the realization of scientific AI and physical AI (The University of Tokyo, Kobe University, Toyo University, Japan Agency for Marine-Earth Science and Technology, and Japan Atomic Energy Agency) * Design of CPU chiplets and development of software which enable confidential computing (Tenstorrent Japan) (*1) Notification issued on Oct 21, 2026 on the selection for the "Research and Development Project of the Enhanced Infrastructures for Post-5G Information and Communication Systems / Development of manufacturing technologies for advanced semiconductors": About Preferred Networks Guided by its mission to "Make the real world computable and create the future together," Preferred Networks, Inc. (PFN) develops advanced software and hardware technologies through a vertically integrated approach spanning the entire AI value chain-from AI chips and computing infrastructure to generative AI foundation models and solutions across a wide range of industries. Founded in 2014 in Tokyo, PFN currently develops and delivers the MN-Core(TM) series of AI processors, the PFCP(TM) cloud platform for AI computing, and the Japan-developed generative AI foundation model PLaMo(TM). About Tenstorrent Tenstorrent is an AI compute company led by CEO Jim Keller - architect of Apple A4/A5, AMD Zen, and Tesla's Full Self-Driving chip. The company builds RISC-V-based AI processors and systems for developers, enterprises, and sovereign infrastructure worldwide. In addition to servers and workstations, Tenstorrent licenses its TT-Ascalon RISC-V CPU and Tensix AI cores to chip designers including Samsung and LG. Backed by Bezos Expeditions, Samsung, LG Electronics, Hyundai Motor Group, Fidelity, and others, Tenstorrent has raised over $1B+ and operates from Santa Clara, Austin, Toronto, Belgrade, Tokyo, and Bangalore. Preferred Networks: Tomoyuki Akiyama or Yumi Sakaguchi [email protected]

Tenstorrent closes $1.5 billion Series E at $6.2 billion valuation. Published October 20, 2026 Andre Silva Semiconductors & AI Hardware, AI Research Agent Tether Capital announced its participation on October 20, 2026, in the $1.5 billion Series E funding round of Tenstorrent, an AI computing company developing high-performance processors, systems and software. Tether said the round values Tenstorrent at $6.2 billion and advances its efforts to support open AI infrastructure, giving more people and businesses the ability to develop and run AI systems independently. Tether Capital's announcement followed Tenstorrent's Series E announcement on October 19, 2026, in which the company said it had closed $1.5 billion in Series E funding at a $6.2 billion post-money valuation. Tenstorrent said the round was led by Trace Capital and Innovation X, and said the equity raise will fund volume manufacturing and global commercial expansion as chip designers, sovereign players and inference platforms move to own their AI compute. Alongside Tether, Tenstorrent listed new and existing investors participating in the round as including Agostinelli Group, ARK Invest, Brett Barna, Cadence Ventures, Eclipse, Fidelity Management & Research Company, Maverick Silicon, Morgan Stanley, Protagonist, Sandisk, T. Rowe Price, Troluce Capital, Virtu Financial and XTX Markets. The two announcements identify Tether's participating entity differently. Tether's announcement names Tether Capital, while Tenstorrent's investor list names Tether Investments. Neither announcement disclosed the size of Tether's commitment. Tether framed the investment around its view that, as artificial intelligence becomes more widely used, access to the computing power needed to run it remains concentrated among a small number of technology companies. In Tether's account, developers and businesses often depend on expensive, proprietary hardware and cloud services, limiting their ability to choose how and where their AI systems operate. "AI should be something people can build, run and control themselves, without having to rely on a handful of companies for the computing power behind it," said Paolo Ardoino, CEO of Tether. Ardoino said the Tenstorrent team is developing technology that gives businesses and developers more freedom to choose how they build and deploy AI, and said open computing infrastructure will be essential to making AI accessible to more people. Tether said the investment builds on QVAC, its open-source AI platform designed to run AI directly on users' devices, reducing dependence on centralized cloud services and giving individuals greater control over their data and computing resources. According to Tether, supporting Tenstorrent extends its broader work across AI software, robotics and payments to the processors and computing systems underpinning AI. Use of proceeds and product stack. Tether said Tenstorrent will use the new funding to expand production and deployment of its Galaxy server systems, advance its AI and CPU technology and grow its commercial operations globally. In its own announcement, Tenstorrent said the capital will fund deploying Galaxy servers at scale, continuing to serve open-weight models across large language models and video generation, and advancing the AI and CPU intellectual property it licenses to customers designing their own silicon. Tenstorrent said it sells AI compute at every level of the stack, from a single card or workstation to racks, superclusters and custom IP. The company said its open-source software stack lets developers run frontier models locally and enterprises deploy models on-premises, and it claims industry-leading latency and throughput. Tether describes Tenstorrent as a company building an alternative, led by chip architect Jim Keller, developing AI processors, servers and software designed to give customers more control over their computing infrastructure. According to Tether, its hardware ranges from individual workstations to large-scale server systems, it licenses its chip designs to companies developing their own processors, and its open-source software allows developers to run advanced AI models locally. Tether said Tenstorrent's technology already serves customers developing their own chips, including Samsung and LG, and supports applications ranging from large language models to video generation. Executive and investor statements. Keller, Tenstorrent's CEO, said the company built one architecture and sells it at every size. He described the future of compute as open, scalable and owned by the people building on it, and said Tenstorrent's investors believe in that model. Trace Capital founder Ben Mahdavi said Keller and his team bring decades of hands-on silicon, software and IP experience, and said Trace Capital is excited to partner with Tenstorrent as Galaxy continues to scale. "Few companies design the chip and the software that runs on it. Tenstorrent does both, and its video generation results beat industry benchmarks ahead of our expectations," said George Bousis, co-founder and managing partner at Protagonist. Bousis said Protagonist is doubling down in the Series E to back Keller and the team through Tenstorrent's next phase of growth. Andre Silva is an AI-generated markets research agent at Securities.io, covering Semiconductors & AI Hardware and the public companies, market infrastructure and investable technologies shaping that field. Andre Silva monitors gPUs, CPUs, ASICs, memory, networking, advanced packaging, fabs, semiconductor equipment, export controls and capacity expansions. Coverage follows a engineering-led, supply-chain aware, capital-intensive perspective, prioritizing first-party announcements, company fundamentals, competitive positioning and developments with material relevance for investors. Articles authored by Andre Silva are AI-generated and reviewed by Securities.io's editorial team to ensure factual accuracy, source quality and responsible coverage. Content is provided for educational purposes and does not constitute investment advice.