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UID:luma-c9d412e99a@palaner.app
DTSTAMP:20260802T151044Z
DTSTART:20260815T000000Z
DTEND:20260815T013000Z
SUMMARY:NVIDIA Spark Hack: Seattle
DESCRIPTION:Saved in Palaner as: saved\n\nPalaner match: 25% · why: matches
  your usual pattern\n\nSee. Do. Spark.\nBuild AI that perceives the world\
 , takes autonomous action\, and pushes the limits of what's possible—all r
 unning on DGX Spark.\nNVIDIA is bringing the Spark Hack Series to Seattle.
 \nThis event brings together frontier builders\, applied ML engineers\, sy
 stems thinkers\, and startup teams to explore what's possible when vision 
 AI\, agentic workflows\, and open models meet high-performance local compu
 te. Whether you're building systems that see\, systems that act\, or somet
 hing no one's thought of yet—bring it.\nWe'll provide every team with an A
 cer Veriton GN100—powered by the NVIDIA GB10 Grace Blackwell Superchip—to 
 use throughout the weekend.\nCo-Host: Ascend backs pre-seed founders solvi
 ng the biggest problems in enterprise AI and deep tech.\n✏️ How to Partici
 pate\nThis hackathon is limited to a maximum of 35 teams. Once we reach ca
 pacity\, additional applicants will be placed on a waitlist and notified i
 f a spot becomes available.\nApplication Guidelines:\nYou must be able to 
 attend the event in person.\nTeam Size: Minimum 3 members\, maximum 5 memb
 ers.\nPriority: Full team applications will be prioritized over individual
  applications. We highly encourage you to form and apply as a team.\nIndiv
 iduals: If you apply as an individual\, team formation will happen the fir
 st day of the event. If accepted\, you will be required to compete with yo
 ur assigned team.\n🔥 Challenge Tracks\nTeams can use any publicly availabl
 e open data as long as the problem you're solving is real. The City of Sea
 ttle open data portal is a great starting point\, but you're not limited t
 o it.\nEach track defines how your AI works\, not what problem it solves—t
 eams are free to tackle any real-world challenge through the lens of their
  chosen track.\n👀 1. See\nFocus: AI that understands the physical world.\n
 The Goal: Build systems that process visual data—cameras\, video streams\,
  images\, satellite imagery\, maps—to detect\, classify\, or respond to wh
 at's happening in real space. Teams in this track will work with NVIDIA's 
 VSS (Visual Search and Summarization) skills to build perception-first app
 lications.\n💪🏻 2. Do\nFocus: AI that plans\, acts\, and gets things done.\
 nThe Goal: Build autonomous systems that don't just answer questions—they 
 take action. Multi-step reasoning\, tool use\, API calls\, data retrieval\
 , decision-making across sources. This track is built for long-running age
 ntic workflows that orchestrate across multiple tools and data sources.\n🧨
  3. Spark\nFocus: AI that surprises us.\nThe Goal: No constraints on modal
 ity or approach. Build something generative. Create a digital twin. Remix 
 the tracks above. The only rule: build it on the Spark and make us wish we
 'd thought of it first.\n💰 What You Can Win\nQualifying submissions\, depe
 nding on the unique track requirements\, are eligible to win the following
  and more:\nAcer Veriton GN100\nNVIDIA GeForce RTX 5080\nBrev credits\nInv
 estor meetings\nSocial media amplification\n​📓 Preparation Resources\nStar
 t Building on DGX Spark: Find instructions and examples to run AI workload
 s on the NVIDIA GB10 Grace Blackwell Superchip.\nNVIDIA Build Model Endpoi
 nts: Access low-latency\, high-accuracy endpoints designed for agentic sys
 tems.\nNVIDIA VSS Spark Playbook: Deploy NVIDIA's Video Search and Summari
 zation (VSS) AI Blueprint to build intelligent video analytics.\nNVIDIA Pr
 ivacy Policy: https://www.nvidia.com/en-us/about-nvidia/privacy-policy/
URL:https://luma.com/spark-hack-seattle
CATEGORIES:palaner,saved
STATUS:TENTATIVE
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