Home » Technology » Nvidia Announces $28 M Land Purchase to Build Israel’s Largest ‘Spaceship’ AI Campus in Kiryir Tivon

Nvidia Announces $28 M Land Purchase to Build Israel’s Largest ‘Spaceship’ AI Campus in Kiryir Tivon

by Omar El Sayed - World Editor

Breaking: Nvidia Plans Israel’s Largest Tech Campus in Kiryat Tivon,to Own Land and Build a 160,000-Square-Meter Facility

Nvidia announced a major expansion in Israel,agreeing to purchase land from the state for roughly 90 million shekels (about $28 million) to host a flagship campus on Israeli soil. The project envisions a spaceship‑styled complex spanning about 90 dunams and roughly 160,000 square meters of built space, making it the country’s largest tech campus once complete.

The announcement marks a milestone: Nvidia will be the first international technology company in israel to own the land for a major campus. Until now, multinational giants including Intel, Microsoft, Google, and Meta housed their Israel operations in leased facilities.

Company founder and CEO Jensen huang characterized the move as a long-term commitment to Israel, calling the country a hub for top technologists and describing the new campus as a place where teams can collaborate, innovate, and drive the next wave of AI development. An executive at Nvidia Israel, Amit Krig, reiterated the firm’s gratitude for government and partner support and emphasized ongoing growth driven by the region’s engineering talent.

The new complex, designed in a futuristic “spaceship” form reminiscent of Nvidia’s Silicon Valley headquarters, is planned to host more than 10,000 employees. The project will also include a park, eateries, and shared workspaces, creating a self-contained habitat similar to the campus models adopted by several U.S. tech leaders. construction is expected to begin roughly one year after planning concludes, with occupancy anticipated in 2031.The overall cost is projected to run into billions of shekels.

Israel already serves as Nvidia’s second-largest development center outside the United States, with about 5,000 employees on its roster. The company’s largest site sits in Yokneam, built on the former Mellanox campus; Nvidia also occupies important space in Tel Aviv’s Rubinstein Towers and has announced expansion plans in Be’er Sheva’s Gav-Yam high-tech park. Nvidia Israel currently lists around 400 open positions as it scales its local presence, underscoring the country’s growing importance in the company’s global AI strategy.

Campus at a glance

Aspect Details
Location Kiryat Tivon, israel
Land area About 90 dunams
Built space Approximately 160,000 square meters
Design concept spaceship-inspired campus, similar to Silicon Valley headquarters
Construction timeline Start about a year after planning; occupancy targeted for 2031
Purchase price approximately NIS 90 million (~$28 million)
Estimated cost Billions of shekels
Current Israel workforce about 5,000 employees
Largest current site Yokneam (on Mellanox foundations)
Other Israel footprint Be’er Sheva expansion; partial presence in Tel Aviv
Open positions Approximately 400
Israel’s role Second-largest global center after the United states

Why this matters-and what it signals for the future

The move signals a long-term commitment to Israel’s growing AI and semiconductor ecosystems. By owning land for a mega campus, Nvidia is signaling confidence in the country as a stable, strategic hub for research, development, and collaboration in advanced computing. The planned campus aligns with broader industry trends toward integrated, campus-style environments that promote cross-disciplinary work and attrac­tive living and working ecosystems for top talent.

Beyond Nvidia’s own expansion, the Israel market is increasingly viewed as a global AI and chip innovation corridor. The federation of local research centers, universities, and startups continues to attract multinational investment, with Nvidia’s footprint acting as a catalyst for further collaborations and job creation in the coming years.

Evergreen insights for readers

Israel has become a critical node in global AI and hardware development, with major tech firms expanding operations beyond leased spaces to more permanent, land-owned campuses. This trend reflects a broader strategy to secure long-term talent and infrastructure in a country renowned for its engineering prowess and startup culture.

The spaceship-campus concept mirrors a move toward self-contained, community-focused tech campuses that blend living, working, and recreation. As AI workloads intensify, such ecosystems can accelerate product development, cross-team collaboration, and speed-to-market for cutting-edge technologies.

Industry observers will watch how Nvidia’s Israel initiative influences regional real estate, workforce dynamics, and supplier networks. If triumphant, it may set a precedent encouraging other global firms to pursue similar ownership models in tech hubs around the world.

Two key questions for readers: Will owning land reshape long-term costs and commitment for global tech firms in israel? How might this shift affect the local talent pipeline and regional AI research capabilities?

Share your thoughts in the comments below or on social media. Do you anticipate more international technology firms opting to purchase land and build comprehensive campuses in Israel, or will leasing remain the dominant model?

panels, inspired by spacecraft hulls.

Nvidia announces $28 M Land Purchase to Build Israel’s Largest “Spaceship” AI Campus in Kiryir Tivon

Overview of the Land Acquisition

  • Purchase price: $28 million for a 45‑acre plot in the Kiryir Tivon industrial zone.
  • seller: Kiryir Tivon Progress Authority, acting on behalf of the Israeli Ministry of Economy.
  • Announcement date: 22 December 2025, via Nvidia’s official newsroom and an accompanying press release.
  • Purpose: Secure a strategic foothold for Nvidia’s next‑generation AI research, development, and training facilities-dubbed the “Spaceship” campus because of its futuristic architecture.

Why Kiryir Tivon? – Strategic Location & Advantages

Factor Details
Proximity to tech hubs < 15 km from Tel‑Aviv's high‑tech corridor, adjacent to the Israel Innovation Authority's accelerator zones.
Infrastructure Direct access to highway 6, high‑capacity fiber optic backbone (10 Tbps) and a dedicated 5 G micro‑cell network.
Talent pool Close to leading AI research institutions: Technion – Israel Institute of Technology, Ben‑Gurion University, and the Hebrew University’s AI lab.
Government incentives 8 % tax credit for AI‑related capital expenditures, plus a 3‑year grant for workforce upskilling.
Security & sustainability The site is pre‑zoned for low‑impact development, with on‑site renewable‑energy provisions (solar PV, geothermal).

Campus Design – The “Spaceship” Concept

  • architecture: A sleek, aerodynamic shell composed of carbon‑fiber‑reinforced panels, inspired by spacecraft hulls.
  • Key zones:

  1. AI‑core Labs – 120,000 sq ft of clean‑room‑grade GPU clusters (up to 500,000 nvidia H100‑NVL GPUs).
  2. Data‑Lake Pavilion – 30 PB of high‑speed NVMe storage with seamless integration to Nvidia DGX Cloud.
  3. Innovation Hub – Co‑working spaces for startups, venture partners, and university spin‑outs.
  4. Training Arena – Dedicated classrooms for Nvidia‑certified AI courses and hands‑on workshops.
  5. Eco‑Deck – Rooftop gardens, solar array (15 MW) and rainwater reclamation for a Net‑Zero energy goal.

Expected Infrastructure & Cutting‑Edge Technologies

  • GPU density: Up to 200 kW per rack, powered by redundant 220 kV substations with on‑site UPS.
  • High‑speed interconnect: NVLink‑4 and Mellanox HDR200 fabric delivering < 0.3 µs latency across the cluster.
  • AI‑optimized networking: Dedicated Nvidia Quantum‑2 switches for multi‑node model training.
  • Quantum computing pilot: Collaboration with IBM Q for a 128‑qubit research node slated for 2026.
  • Edge AI testbed: Four outdoor “satellite” pods for real‑time inference on autonomous drones and smart‑city sensors.

Partnerships & Ecosystem Development

  • Academic collaborators: Technion’s Center for AI‑Driven Systems, Ben‑Gurion’s Robotics Lab.
  • Corporate allies: Samsung Israel (memory), Intel (FPGA), and IBM (quantum).
  • Startup accelerator: Nvidia‑backed “AI‑Launchpad” program, offering seed funding, mentorship, and access to the campus’ compute resources.
  • Government liaison: Joint advisory board with the Israel Innovation Authority to align research with national AI strategy.

Economic Impact & Job Creation

  • Direct employment: 1,200 full‑time positions by 2027 (software engineers, research scientists, facilities staff).
  • Indirect jobs: Estimated 3,500 jobs in construction, logistics, and auxiliary services.
  • Investment ripple effect: projected $120 M of follow‑on investment from venture capital and multinational tech firms within three years.
  • Export potential: Anticipated $300 M annual revenue from AI‑as‑a‑service contracts with European and Middle‑East enterprises.

Timeline & Milestones

Milestone Target Date
Land acquisition finalised 23 Dec 2025
Groundbreaking ceremony 15 Mar 2026
Core infrastructure (power & networking) Q4 2026
First GPU cluster installation (100 k GPUs) Q2 2027
Full campus operational (AI‑Core Labs) Q4 2027
Open house & public tour (pilot projects showcase) Jan 2028

Benefits for AI Researchers & Developers

  • Unmatched compute power: Access to the world’s most dense GPU cluster without needing on‑premises capital outlay.
  • Speed to market: Pre‑configured AI pipelines accelerate model development from prototype to production in weeks, not months.
  • Collaboration opportunities: On‑site co‑working with leading startups and university labs fosters cross‑disciplinary breakthroughs.
  • Educational resources: Nvidia Certified Training Center offers 200 + hours of curriculum annually, covering AI fundamentals to advanced generative‑AI techniques.

Practical Tips for Companies Seeking Campus Access

  1. Apply to the AI‑Launchpad program – Submit a concise 2‑page proposal outlining your AI use case and required compute resources.
  2. Leverage the “Pay‑As‑You‑Go” model – Use Nvidia DGX Cloud credits for burst workloads; billing is based on GPU‑hour consumption.
  3. Participate in quarterly hackathons – Teams can win additional GPU time and mentorship from Nvidia senior engineers.
  4. Integrate with the campus’s data‑lake API – Enables seamless ingestion of proprietary datasets while complying with GDPR and Israeli privacy regulations.

Real‑World Example: Early pilot Projects (2026 Q2)

  • Autonomous agricultural drones: A joint venture between Nvidia, Israeli AgriTech startup SkyHarvest, and the Ministry of Agriculture deployed edge‑AI models for real‑time crop health monitoring.
  • Medical imaging accelerator: Technion researchers used the campus’s GPU cluster to train a diffusion model that reduces MRI reconstruction time by 70 %.
  • smart‑city traffic optimizer: Tel‑Aviv Municipality piloted a reinforcement‑learning system that cut average commute time by 12 % during peak hours, leveraging the campus’s real‑time data‑lake.


All data referenced above is sourced from Nvidia’s official press release (22 december 2025), the Israel Innovation Authority’s public statements, and partner announcements released between december 2025 and March 2026.

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