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Israeli AI and Machine Learning Industry

Israel’s AI activity connects university research, multinational engineering teams and startups. Examples include Intel’s AI development centers, NVIDIA’s Israel-1 system and Tel Aviv University’s interdisciplinary AI center.

Miriam Bernstein

Miriam Bernstein is the pen name of Hasbara’s Resources desk. Every article is sourced and cited.

Israel’s AI industry is built from research universities, multinational development teams, startups and public investment in computing infrastructure. The clearest evidence comes from named institutions and projects: Intel lists AI development centers in Haifa and Petah Tikva; NVIDIA built its Israel-1 AI supercomputer as a testbed for data-center networking; and Tel Aviv University established an interdisciplinary Center for AI and Data Science.

These examples show the practical shape of the ecosystem. They do not require unsupported counts of AI startups or claims about global rankings. Israeli teams work on processors, networking, computer vision, language models, medical software and tools for business. The pages in this guide examine these areas individually, including AI chips and computing, Mobileye, and university research.

Research inside global technology companies

Multinational firms maintain Israeli engineering and research operations. Intel identifies Haifa as a hardware and software development center for processors and AI, Petah Tikva as a development center for communications and AI solutions, and Jerusalem as a software, communications and cybersecurity center. These are company-described roles, not a claim that every global AI product is designed in Israel. Microsoft, Google and NVIDIA also operate Israeli teams, though specific product attribution should be tied to company announcements.

One especially concrete example is NVIDIA’s Israel-1 system. NVIDIA announced in 2023 that it was building the system in its Israeli data center with Dell servers, H100 GPUs, BlueField-3 networking devices and Spectrum-4 switches. The company described Israel-1 as a blueprint and testbed for Spectrum-X reference designs. That establishes the system’s intended role and components; performance comparisons depend on workload and measurement conditions.

Universities, companies and public infrastructure

Tel Aviv University’s Center for AI and Data Science, founded in 2019, brings together faculty across disciplines and supports collaborative research and education. The Technion’s Tech.AI center coordinates work in machine learning and intelligent systems. University labs train researchers and develop methods that can later move into commercial products.

Public policy also shapes access to computing. Israel’s Innovation Authority selected Nebius in May 2025 to establish a national AI supercomputer, with an investment exceeding NIS 500 million, including a NIS 160 million government grant. The initiative is designed to give Israeli researchers and companies access to computing for training AI models. Its announcement documents a selected contractor and investment plan; it should not be confused with a count of all computing capacity already in use.

Explore Israeli generative AI companies and national AI policy for further examples.

Company and institutional descriptions: Intel in Israel; NVIDIA on Israel-1; Tel Aviv University’s AI center.

Category pages

Sources

  1. 1.https://www.intel.com/content/www/us/en/corporate-responsibility/intel-in-israel.html
  2. 2.https://nvidianews.nvidia.com/news/nvidia-launches-accelerated-ethernet-platform-for-hyperscale-generative-ai
  3. 3.https://datascience.tau.ac.il/about
  4. 4.https://innovationisrael.org.il/en/press_release/nebius-to-establish-supercomputer/