~/conference

Akash Accelerate 2025

date:2025-06-23
location:Brooklyn, United States
series:Akash Accelerate · one edition

Akash Accelerate is a full-day summit that will bring together the entire ecosystem for a packed agenda of talks, panels, and discussions exploring the future of decentralized compute and open-source AI.

titleauthorlength
Nous ResearchDillon Rolnick16m
Nous Research describes a working open alternative to closed labs: a Psyche network that trains a 40B-parameter model on ~500 billion tokens via a global…
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Panel: Investing in IntelligenceCheng Wang, Maja Vujinovic, Conor Moore, Mark Palmer, Christian Lopez53m
Panel drills into concrete moves: asset‑backed crypto debt built from GPU farms and GPU-backed ABS; project financing versus equity for data centers; observed…
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PassageLex, Ariel Avellino10m
Passage delivers full Unreal Engine 5 worlds streamed to any browser or phone with zero client processing, running on aos and claiming a 70% GPU cost…
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The Roadmap to a User-Owned AI ModelIllia Polosukhin17m
Proposes a practical stack for user-owned AI that uses trusted execution environments (Intel TDX, NVIDIA Hopper/Blackwell) to run models confidentially, with…
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Highlights(no speaker listed)02m
Akash frames a push for a decentralized cloud where nodes can join the platform and workloads run on a peer network, arguing power is becoming the primary…
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Is DePIN Real?Tommy Eastman, Haseeb Qureshi, Mahesh Ramakrishnan, Abhay Kumar32m
Discussion gives concrete signals: total DePIN market cap sits around $3–10B with on-chain revenue is tiny; Helium boosts adoption by remove crypto from…
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Akash Accelerate 2025: Nirmal Krishman from ChakraNirmal Krishman10m
Chakra builds an open-data protocol with a nextG data warehouse that goes live within a month of incorporation and claims 80% of Snowflake at 20% of the cost…
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Beyond Centralized ModelsCasey Caruso, Jake Brukhman, Benjamin Parr, Chad Fowler35m
Panelists give concrete wins and gaps: a decentralized inference provider beats Google on price by 90% cheaper by aggregating idle GPUs; Plurales demonstrates…
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AI Content GenerationZack Abrams12m
Open-source workflows demonstrate granular control: using Comfy UI with Hydream the presenter runs the sampler for 40 out of 100 steps, swaps prompts…
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Fireside chatJavier Villamizar, Greg Osuri24m
Announces Stargate $500 billion and a claimed $1 trillion Arizona‑Illinois AI robotics hub with robotics for rack assembly and liquid/immersion cooling to…
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Decentralized EnergyJason Badeaux13m
Daylight Energy lays out a concrete plan to tokenise distributed solar + battery systems, using on‑chain incentives to aggregate behind‑the‑meter assets and…
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KeynoteGreg Osuri22m
Claims a roadmap to scale decentralized AI with concrete milestones: Akash star cluster phases (2025 data‑center grade racks, 2026 telco edge, 2027…
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Star Bonds(no speaker listed)02m
A fractional on‑chain ownership model called Starbox lets anyone reserve a stake while a node keeper provisions and operates nodes that run AI workloads and…
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AkashML(no speaker listed)02m
Akash ML is a distributed AI runtime that turns idle hardware into production-grade infrastructure, built GPU native and container-first to run models across…
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StarclusterGreg Osuri02m
A planetary‑scale mesh of decentralized AI compute claims to let independent node keepers run data‑center grade racks powered by renewables and join a global…
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