
Work Here?
Tenstorrent designs high-performance AI computing systems that combine specialized hardware with a software stack. Its products include AI-focused computers built with custom ASICs and RISC-V cores, plus neural network compilers that map models efficiently onto the hardware. The company differentiates itself by offering an end-to-end hardware-and-software platform optimized for AI workloads across data centers and edge environments. Its goal is to provide versatile, high-performance systems and software that help clients train, deploy, and run large-scale AI models more efficiently.
Industries
Hardware
Enterprise Software
AI & Machine Learning
Company Size
1,001-5,000
Company Stage
Late Stage VC
Total Funding
$2.3B
Headquarters
Toronto, Canada
Founded
2016
See people who can refer or advise you
Help us improve and share your feedback! Did you find this helpful?
Total Funding
$2.3B
Above
Industry Average
Funded Over
8 Rounds
Hybrid Work Options
Stealthium and Tenstorrent partner to deliver runtime observability for AI infrastructure. JUL 2026 By Stealthium Team Stealthium's runtime observability platform integrates with Tenstorrent's open AI compute platform to provide visibility into AI workloads. SAN FRANCISCO and SANTA CLARA, Calif. - July 30, 2026 - Stealthium, the runtime observability and security company for AI infrastructure, and Tenstorrent, a leader in AI compute and high-performance RISC-V CPUs, today announced a partnership to bring runtime observability and security to AI workloads running on Tenstorrent systems. Through this partnership, customers running AI workloads on Tenstorrent hardware will be able to monitor accelerator activity, detect runtime anomalies, and gain visibility into workload execution. Stealthium's platform helps operators understand how AI infrastructure is being utilized while identifying potential security and operational issues before they affect production environments, and will be available as an integrated option for Tenstorrent deployments. Soon to be demonstrated on Tenstorrent's customer cloud environment, it will provide operators and teams with runtime visibility directly on the AI accelerators. Stealthium and Tenstorrent share in a vision to bring customers observable, secure, and controlled AI accelerated compute. As organizations deploy increasingly complex AI workloads, particularly in regulated and multi-tenant environments across financial services, telecommunications, and energy, runtime assurance and security are becoming increasingly important. Together, Tenstorrent and Stealthium enable customers to monitor workload isolation, identify inefficient compute utilization, detect abnormal runtime behavior, and integrate telemetry with existing security and infrastructure monitoring platforms. Built on an open, full-stack architecture, Tenstorrent's platform enables ecosystem partners like Stealthium to extend functionality throughout the AI software stack, giving customers greater visibility and flexibility for their deployments. "AI is only as secure and trustworthy as the layer it runs on, yet for many that layer is currently invisible and indefensible. Stealthium exists to make AI accelerated compute observable, secure, and controlled. Tenstorrent is building exactly the kind of open, full-stack platform where that belongs from day one. Together we are offering customers an AI acceleration foundation they can see, verify, and trust as they scale." - Ahmed Shosha, CEO & Founder, Stealthium "As enterprises and cloud providers move toward sovereign and private AI deployments, they need infrastructure that delivers high-performance compute and operational trust. Tenstorrent's open, full-stack AI platform gives customers greater control over their deployments, while Stealthium extends visibility and security at the runtime layer. Together, we can help customers build enterprise-grade AI infrastructure that is more secure, more transparent, and ready for production at scale." - Amr Elashmawi, Vice President of Strategy & Business Development, Tenstorrent About stealthium. Stealthium is the runtime observability and security company for AI infrastructure, on a mission to make AI Accelerated Compute observable, secure, and controlled everywhere, across any accelerator, any cloud, and any scale. Its platform gives operators and tenants visibility and security at the layer where AI workloads execute. Built for organizations running AI infrastructure at scale, Stealthium is brought to you by security and infrastructure leaders who have done this before: alumni of global leaders including Mandiant, CrowdStrike, Microsoft, and Canonical. Learn more at stealthium.io. 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. Media contacts. The official announcement is also available on GlobeNewswire.
News & articles. At ConnectWeb Connectweb has a team of editors and researchers collating the most relevant information to you and your industry. All Directories' publications and sites provide a wealth of information for research or marketing, and are used by public and corporate libraries, educational institutions, government departments, corporations and SMEs across the country. You are here: Home News Access the latest company news and announcements distributed through Medianet. Information Technology 30/06/2026 16:47 Tenstorrent sets new performance records, launches TT- Ascalon S, and expands Across Japan. Tenstorrent At TT-Deploy JP, Tenstorrent set new records on language and video models, launched TT-Ascalon S RISC-V CPU IP for agentic AI, and joins ai&'s sovereign heterogenous inference platform with Tenstorrent Galaxy(TM) superclusters, a general-purpose system that can drop in beside GPUs or stands alone. TOKYO, JP / ACCESS Newswire / June 30, 2026 / Tenstorrent, the AI compute company led by CEO Jim Keller, today at TT-Deploy JP set new performance records across language and video, launched TT-Ascalon S RISC-V CPU IP for agentic AI, and detailed its largest deployment to date, a general-purpose, heterogenous AI build in Japan. Each rests on the same foundation: a single architecture that runs major AI workloads faster than GPUs and scales from a licensable core to a Tenstorrent Galaxy(TM) supercluster over standard Ethernet. That makes Tenstorrent's Networked AI architecture a different kind of solution - open, general-purpose, flexible for heterogeneous or stand alone deployments, and backed by AI experts - that can withstand the constant change in the AI industry. New industry records from language to video Continuing to build on previous performance, Tenstorrent shared new LLM and video with lip-sync and audio benchmarks. On the latest models enterprises are deploying right now, Tenstorrent Galaxy Blackhole superclusters post: * Kimi K2.6: 900 tokens/second/user, 3x faster than GPUs * DeepSeek-R1-0528 671B: 400+ tokens/second/user, up from 350+ at TT-Deploy SF * LTX 2.3 Fast: roughly 6-second video generation at 144 frames, 1080p, with audio and lip-sync, 4x faster than GPUs Different model families, one architecture, with capacity that grows near-linearly as Galaxies are added. Tenstorrent's performance enables enterprises to scale premium inference workloads efficiently. TT-Ascalon S: Tenstorrent expands the TT-Ascalon portfolio with TT-Ascalon S suited to emerging agentic AI workloads Launching today at TT-Deploy JP, Tenstorrent announced TT-Ascalon S, a compute-dense RISC-V CPU for agentic AI. Agentic AI leans on the CPU in a new way, gated less by raw compute than by orchestration, I/O, and latency, and TT-Ascalon S is built for it: * Density: Built on the foundation of TT-Ascalon X, TT-Ascalon S is purpose built for a footprint ~50% the size, delivering ~140% performance per mm[2]. * Efficiency: A compact, power-efficient design for high-throughput execution layers. * Latency: Ascalon S is tuned for the mixed, branch-heavy, tool-connected execution patterns typical of agent runtimes, helping enable more predictable execution. In addition to agentic AI, TT-Ascalon S is applicable to high-efficiency servers, networking and storage SoCs, and data-center edge deployments. As licensable RISC-V IP, it enables customers to extend the same architectural foundation into custom silicon designs. Built to drop in, or stand alone Connecting the accelerators and the CPU alike is Tenstorrent's Networked AI. The architecture unifies compute, memory, and networking over standard Ethernet, with an open-source software stack. Tenstorrent Galaxies and superclusters stand alone or drop into an existing GPU fleet without replacing existing infrastructure. Customers can add capacity without betting on a single model, workload, or vendor; the systems keep performing as models change; and the infrastructure stays in the customer's hands. For the enterprises and nations building next-gen private AI infrastructure, that independence and flexibility is key. "We built one architecture that runs everything, drops in next to whatever you already own, and scales from a licensable core to a supercluster. That's what lets a company, or a country, own its AI and adapt to the only constant in AI - change. We're excited to partner so widely in Japan with key partners like ai&, Rapidus, Preferred Networks, Socionext and Turing." said Jim Keller, CEO of Tenstorrent. Running across Japan, at national scale Across Japan, Tenstorrent enables cloud service providers, data centers, and private infrastructure with everything from licensable IP to large-scale supercluster deployments. Its largest deployment to date runs with ai&, Japan's vertically integrated frontier AI platform. ai& launched its heterogeneous inference platform to expand sovereign AI in Japan. Tenstorrent Galaxies and superclusters support key inference and agentic workloads, and enables customer use cases such as: chat, RAG, vision, and post training, served entirely from within the country. They've deployed more than 120 Tenstorrent Galaxy systems representing the largest scale of sovereign AI compute in the region. "ai& is built on the conviction that the best inference infrastructure routes every workload to the silicon best suited to it. Tenstorrent's Galaxy superclusters have proven themselves on exactly the workloads our enterprise customers care about, and this deployment represents the largest sovereign AI compute footprint in Japan. We're excited for what the partnership unlocks," said David Bennett, CEO & co-founder at ai& That reach rests on a deep base in the country. Turing, the Tokyo-based autonomous-driving company, has demonstrated Tenstorrent Blackhole running inside an autonomous vehicle as a proof-of-concept. And through the national 2nm program with Rapidus, adopted by NEDO and led by LSTC, Tenstorrent contributes the RISC-V CPU chiplet. Tenstorrent Japan has operated in Tokyo since 2023, runs an AI data center in Osaka today, and is bringing up to 200 Japanese silicon engineers into its design teams. TT-Deploy JP brings the ecosystem on stage, with partners including ai&, Rapidus, Preferred Networks, Socionext and Turing, plus live demos from ai&, BOS and Turing. 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. Learn more at tenstorrent.com. Media Contact * images - 71094.jpg tenstorrent sets new performance records, launches TT- Ascalon S, and expands Across Japan download. ConnectWeb. ConnectWeb is Australia's leading publisher of biographical data, directories and specialist newsletters. With ConnectWeb you gain access to its comprehensive database of contacts and companies in media, government and associations. Connect with Connectweb.
Tenstorrent has set new performance records on language and video models, launched TT-Ascalon S RISC-V CPU IP for agentic AI, and announced its largest deployment to date in Japan. The company's Blackhole superclusters achieved 900 tokens per second per user on Kimi K2.6 and generated 1080p video with audio in roughly six seconds, both significantly faster than GPUs. The newly launched TT-Ascalon S CPU is purpose-built for agentic AI workloads, delivering approximately 140% performance per square millimetre. Tenstorrent's architecture runs on standard Ethernet and can integrate with existing GPU infrastructure or operate independently. In Japan, ai& has deployed over 120 Tenstorrent Galaxy systems, representing the largest sovereign AI compute footprint in the region. Tenstorrent has raised over $1 billion from investors including Bezos Expeditions, Samsung and Fidelity.
Tenstorrent sets new performance records, launches TT- Ascalon S, and expands Across Japan. 11 hours ago At TT-Deploy JP, Tenstorrent set new records on language and video models, launched TT-Ascalon S RISC-V CPU IP for agentic AI, and joins ai&'s sovereign heterogenous inference platform with Tenstorrent Galaxy™ superclusters, a general-purpose system that can drop in beside GPUs or stands alone. TOKYO, JP / ACCESS Newswire / June 30, 2026 / Tenstorrent, the AI compute company led by CEO Jim Keller, today at TT-Deploy JP set new performance records across language and video, launched TT-Ascalon S RISC-V CPU IP for agentic AI, and detailed its largest deployment to date, a general-purpose, heterogenous AI build in Japan. Each rests on the same foundation: a single architecture that runs major AI workloads faster than GPUs and scales from a licensable core to a Tenstorrent Galaxy(TM) supercluster over standard Ethernet. That makes Tenstorrent's Networked AI architecture a different kind of solution - open, general-purpose, flexible for heterogeneous or stand alone deployments, and backed by AI experts - that can withstand the constant change in the AI industry. New industry records from language to video Continuing to build on previous performance, Tenstorrent shared new LLM and video with lip-sync and audio benchmarks. On the latest models enterprises are deploying right now, Tenstorrent Galaxy Blackhole superclusters post: * Kimi K2.6: 900 tokens/second/user, 3x faster than GPUs * DeepSeek-R1-0528 671B: 400+ tokens/second/user, up from 350+ at TT-Deploy SF * LTX 2.3 Fast: roughly 6-second video generation at 144 frames, 1080p, with audio and lip-sync, 4x faster than GPUs Different model families, one architecture, with capacity that grows near-linearly as Galaxies are added. Tenstorrent's performance enables enterprises to scale premium inference workloads efficiently. TT-Ascalon S: Tenstorrent expands the TT-Ascalon portfolio with TT-Ascalon S suited to emerging agentic AI workloads Launching today at TT-Deploy JP, Tenstorrent announced TT-Ascalon S, a compute-dense RISC-V CPU for agentic AI. Agentic AI leans on the CPU in a new way, gated less by raw compute than by orchestration, I/O, and latency, and TT-Ascalon S is built for it: * Density: Built on the foundation of TT-Ascalon X, TT-Ascalon S is purpose built for a footprint ~50% the size, delivering ~140% performance per mm[2]. * Efficiency: A compact, power-efficient design for high-throughput execution layers. * Latency: Ascalon S is tuned for the mixed, branch-heavy, tool-connected execution patterns typical of agent runtimes, helping enable more predictable execution. In addition to agentic AI, TT-Ascalon S is applicable to high-efficiency servers, networking and storage SoCs, and data-center edge deployments. As licensable RISC-V IP, it enables customers to extend the same architectural foundation into custom silicon designs. Built to drop in, or stand alone Connecting the accelerators and the CPU alike is Tenstorrent's Networked AI. The architecture unifies compute, memory, and networking over standard Ethernet, with an open-source software stack. Tenstorrent Galaxies and superclusters stand alone or drop into an existing GPU fleet without replacing existing infrastructure. Customers can add capacity without betting on a single model, workload, or vendor; the systems keep performing as models change; and the infrastructure stays in the customer's hands. For the enterprises and nations building next-gen private AI infrastructure, that independence and flexibility is key. "We built one architecture that runs everything, drops in next to whatever you already own, and scales from a licensable core to a supercluster. That's what lets a company, or a country, own its AI and adapt to the only constant in AI - change. We're excited to partner so widely in Japan with key partners like ai&, Rapidus, Preferred Networks, Socionext and Turing." said Jim Keller, CEO of Tenstorrent. Running across Japan, at national scale Across Japan, Tenstorrent enables cloud service providers, data centers, and private infrastructure with everything from licensable IP to large-scale supercluster deployments. Its largest deployment to date runs with ai&, Japan's vertically integrated frontier AI platform. ai& launched its heterogeneous inference platform to expand sovereign AI in Japan. Tenstorrent Galaxies and superclusters support key inference and agentic workloads, and enables customer use cases such as: chat, RAG, vision, and post training, served entirely from within the country. They've deployed more than 120 Tenstorrent Galaxy systems representing the largest scale of sovereign AI compute in the region. "ai& is built on the conviction that the best inference infrastructure routes every workload to the silicon best suited to it. Tenstorrent's Galaxy superclusters have proven themselves on exactly the workloads our enterprise customers care about, and this deployment represents the largest sovereign AI compute footprint in Japan. We're excited for what the partnership unlocks," said David Bennett, CEO & co-founder at ai& That reach rests on a deep base in the country. Turing, the Tokyo-based autonomous-driving company, has demonstrated Tenstorrent Blackhole running inside an autonomous vehicle as a proof-of-concept. And through the national 2nm program with Rapidus, adopted by NEDO and led by LSTC, Tenstorrent contributes the RISC-V CPU chiplet. Tenstorrent Japan has operated in Tokyo since 2023, runs an AI data center in Osaka today, and is bringing up to 200 Japanese silicon engineers into its design teams. TT-Deploy JP brings the ecosystem on stage, with partners including ai&, Rapidus, Preferred Networks, Socionext and Turing, plus live demos from ai&, BOS and Turing. 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. Learn more at tenstorrent.com. Media Contact
Thani Al Zeyoudi appointed chairman of AIREV for assistant AI 23 June 2026 19:42 PM | Last update: 23 June 20:15 2026 Reading time - 2 minutes Appointment of Thani Al Zeyoudi as chairman of AIREV to boost UAE technology exports; OnDemand platform serves 4 million users, supports AI agents in 50 languages, and has global partnerships * Al Zeyoudi: UAE aims to export locally developed technology AIREV announced that Dr. Thani bin Ahmed Al Zeyoudi, Minister of Foreign Trade, has assumed the chairmanship of the board of directors of the UAE-based company specializing in assistant artificial intelligence, which owns the OnDemand platform, an operating system for assistant AI with special specifications developed in the UAE and operating in markets around the world. This step aligns the goals of one of the UAE's leading technology companies with the national trade agenda, at a time when the country is working to expand its export base to include high-value digital services and AI services. The UAE aims to increase its exports of services related to advanced technologies and digital services as part of the country's foreign trade strategy. Export ambitions Dr. Thani bin Ahmed Al Zeyoudi, Minister of Foreign Trade and Chairman of the Board of AIREV, affirmed that the growth in the assistant AI field in the country, with contributions from companies like AIREV, reflects the next phase of the UAE's export ambitions. He said: 'The UAE has succeeded in building one of the most vibrant trade economies in the world, and our next step is to export not only goods and services but also locally developed technology and associated intellectual property.' He added: 'AIREV is a UAE company whose platform and innovative solutions have gained the trust and adoption of a group of major global technology companies, reaching the most demanding markets worldwide. I look forward to working with the company's team during its next expansion phase, ensuring it enhances its contribution to achieving our national goals of increasing non-oil service exports and solidifying the UAE's position as a global hub for advanced industries.' Next-generation initiative It is noteworthy that AIREV entered the UAE market in February 2024 through the next-generation foreign direct investment initiative, with support from Core42, a subsidiary of G42. In about two and a half years, the company developed into an integrated assistant operating platform for productive uses, with an estimated value of around $200 million. The OnDemand platform is the company's main product. It is a low-code or no-code operating system that enables building, deploying, and managing autonomous AI agents. The platform is designed to operate according to client needs, giving governments and regulated organizations full control over their data, models, and infrastructure. The platform serves over 4 million users worldwide who rely on AI, and provides more than 300 specialized agents and tools in over 50 languages. Over the past year, the company established a network of strategic partnerships spanning the global AI and semiconductor ecosystem. It entered a strategic partnership with Intel to optimize OnDemand's performance on its processors, providing autonomous AI agents on Intel-powered AI PCs. It also partnered with American chip company Tenstorrent to collaborate on developing a high-performance assistant AI ecosystem for enterprise and sovereign applications, including launching a specialized assistant AI development center in the UAE.
Find jobs on Simplify and start your career today
Industries
Hardware
Enterprise Software
AI & Machine Learning
Company Size
1,001-5,000
Company Stage
Late Stage VC
Total Funding
$2.3B
Headquarters
Toronto, Canada
Founded
2016
Find jobs on Simplify and start your career today