Nebius Opens 2026 Physical AI Awards With $750K Prizes
Nebius and NVIDIA launch the 2026 Physical AI Awards, offering five $150K compute credit prizes with an application deadline of October 25, 2026.
Stock photo for illustration only, not from the actual event
- Nebius and NVIDIA launch the 2026 Physical AI Awards offering compute credits
- Five categories with each winner receiving $150,000 in compute credits
- Applications are open until October 25, 2026, with winners announced in November
- A judging panel of nine industry experts will evaluate entries based on four key criteria
Nebius (NASDAQ: NBIS), in partnership with NVIDIA, has officially launched the Nebius Physical AI Awards 2026. Developers and companies worldwide are invited to apply for the global competition, which features five distinct categories with a $150,000 compute credit prize awarded in each category. Applications are currently open and will close on October 25, 2026, followed by the announcement of finalists and winners in mid-November 2026.
The competition carries no entry fees and no sponsored categories. Because Nebius publishes its GPU-hour rates, the prize translates directly into concrete compute resources rather than abstract figures. Winning teams receive tangible infrastructure support tailored to intensive artificial intelligence workloads without hidden instance charges for vCPU or RAM.
For a team operating multi-node training workflows, a $150K allocation on H200 GPUs provides approximately 521 hours of continuous work on a 64-GPU cluster, translating to roughly three weeks of uninterrupted processing. Utilizing preemptible H200 rates at $2.45 per GPU-hour stretches the allocation to about 61,200 GPU-hours, perfectly suited for checkpointable reinforcement learning and data-generation tasks.
Stock photo for illustration only, not from the actual event
Applicants are instructed to enter the category that best aligns with their product. While entities with multiple products may submit additional applications, the program guidelines recommend leading with the strongest product in the single most relevant category. Stated eligibility criteria require a clear Physical AI use case, an MVP in active use or testing, a registered legal entity, and a live public website.
Structuring the awards around compute credits rather than cash grants addresses the single biggest operational bottleneck for physical AI and robotics startups. By subsidizing GPU infrastructure directly, Nebius helps early-stage innovators overcome the prohibitive costs of model training while simultaneously showcasing the performance and cost-transparency of its cloud ecosystem.
Submissions undergo an initial in-house screening for quality and completeness. A panel appointed by Nebius and NVIDIA then scores each qualified entry across four core criteria: depth of innovation, breadth of implementation, market potential, and real-world impact. Finalists subsequently advance to a jury vote to determine the official category winners.
The nine-member judging committee for the 2026 program includes:
- Tyler Benster from Asymmetry Ventures
- Chad Fox from TypeOne Ventures
- Michelle Hansen from Encord
- Daniel Lelescu
- Max Macneil from Foxglove
- Shreyas Murthy from NVIDIA
- Evan Moore from Voxel51
- Jonathan Ross from Groq
- Hao Zhou from RoboForce
The program follows the inaugural 2025 Nebius Robotics & Physical AI Awards, which attracted 254 applications and selected 55 finalists who shared $1.5 million in compute credits. Several past winners have achieved significant commercial milestones following the exposure, such as 2025 Industrial Robotics winner RoboForce securing a $52 million funding round in March 2026 and Gather AI closing a $40 million Series B in February 2026.
Source: MarkTechPost
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