Overclock Labs, creators of Akash Network

AI compute is shaping up to be one of the defining infrastructure debates of this decade. Nosana is hosting a live panel with leaders from Overclock Labs, creators of Akash Network, Aethir, and io.net to work through exactly that. 👉 We’ll get into where centralized cloud still holds an edge, where decentralized networks offer a real alternative, and what it means practically for AI #builders, startups, and autonomous agents. If you’re building in #AI infrastructure, working in #DePIN, or just trying to understand where compute is heading, you don’t want to miss this one! 📅 June 2 · 5PM CET Register here: luma.com/gvged2y6

Most people building with Claude stop at the artifact. They screenshot it, maybe copy the code, and tell themselves they'll figure out deployment later. Later never comes. Community Manager, Joe Deng closes that gap. This video walks through the full pipeline for taking anything Claude generates and putting it on a live URL in under 10 minutes: build it in Claude, containerize it with Docker, deploy it on Akash Network. All from a single conversation. The workflow works for any Claude artifact, whether it's a React app, dashboard, internal tool, or landing page. If Claude can create it, you can ship it. ↓ Full walkthrough ↓ https://lnkd.in/gWYd-snS

In the first five months of 2026, builders on Akash shipped some of the most ambitious AI apps we've seen. An autonomous scam detector protecting elderly households for $3/month, a clinical safety agent catching chemotherapy dosing errors in handwritten charts, smart glasses that trained a gesture model on Akash GPUs in one hour at a Yale hackathon, a Polymarket trading bot fusing 20+ real-time data sources through a Bayesian inference engine, and a one-click AI agent deployment tool built entirely by a community contributor. Built by Sandeep Narahari, Kien Nguyen, Huy Huynh, Tharun E., Nick Hardy, and the developers behind BioVault and ElderShield. Read about all five here ↓ https://lnkd.in/g8PGShHx

The AI Compute Summit is coming up on May 19th in Amsterdam with a packed agenda covering AI accelerators, supercomputing, building smarter models to reduce compute costs and more. Akash founder Greg Osuri will be speaking on feeding the next wave of artificial intelligence. Gain inspiration and actionable insights from a lineup of 60+ expert speakers! Register now: https://econint.co/7r

Founder Greg Osuri will be speaking at this yearʼs AI Compute Summit on May 19th 2026 in Amsterdam. Join us to hear his expert perspective on Feeding the Next Wave of Intelligence! Gain inspiration and actionable insights from a lineup of 60+ expert speakers! Register here: https://econint.co/7r

Razer Inc. and Akash Network are proud to release a joint whitepaper detailing the infrastructure behind AVA Mini: a personalized AI experience designed to operate at global campaign scale. AVA Mini, introduced as part of Razer AI’s April Fool’s campaign, allowed users to generate unique AI companions based on their own pet images. Delivering this experience required solving for three critical constraints simultaneously: cost, latency, and scalability. By combining Razer AIKit with AkashML, the teams implemented a hybrid architecture that bridges local GPU inference with a decentralized compute marketplace. This approach enabled: • Image generation at $0.01 per output, significantly below typical market rates • Average end-to-end response time of 3.24 seconds, including image upload • Automatic scaling across a distributed network of consumer GPUs • Continuous operation throughout peak demand without manual intervention At the core of this system is a unified API endpoint that abstracts a globally distributed pool of compute into a single, developer-friendly interface. Behind the scenes, workloads are dynamically routed across RTX 4090 and RTX 5090 GPUs. Beyond its immediate performance, this deployment serves as a strong proof of concept for decentralized inference at scale. It demonstrates that workloads can move fluidly from local environments to globally distributed infrastructure without requiring architectural changes. As additional supply comes online through initiatives such as Akash Homenode, this model is positioned to become even more efficient and resilient, reinforcing decentralized compute as a viable alternative to traditional cloud-based AI deployment. We invite you to explore the full whitepaper to learn more about the architecture, engineering collaboration, and performance benchmarks behind this system. ↓ https://lnkd.in/ewgCgmGX

Last Friday's Ship to Prod hackathon brought together 150+ builders to showcase their vision for agents, copilots, and autonomous systems that solve real problems at production scale. Congratulations to IP-Pulse and ElderShield for winning the 'Best Use of Akash' category! Our first place winner, IP-Pulse, built AI-native patent intelligence software that monitors USPTO and Google Patents continuously, checks open-source prior art to invalidate threatening filings, and weighs the filer's litigation history. The architecture federates 5 GraphQL subgraphs behind a WunderGraph Cosmo router, all exposed as MCP tools to an orchestrating Claude agent, with bulk claim summarization running on Kimi K2.6 hosted on AkashML. Patent attorneys charge $500 to $1,000/hour for this kind of work. IP-Pulse delivers it for around $100. Our second place winner, ElderShield, built a fully autonomous scam-protection agent for older adults. The pipeline sweeps inboxes every 15 seconds via Nexla, opens every suspicious link in a real remote browser via TinyFish, and classifies risk using a two-tier Redis memory system that tracks scam patterns across households over time. The team integrated 10 sponsor tools with real API calls, no mocks, no stubs, and deployed on Akash with Chainguard distroless containers at a zero-CVE security posture. A special shoutout to tokens& for bringing together the most innovative AI builders in SF! Check out our winning projects here: https://lnkd.in/eDZSUBcw

We're pleased to announce that akashml.com processed over 100B tokens in April!

Founder Greg Osuri joined Dylan Grabowski on The Smart Economy Podcast this week for a wide-ranging conversation on the structural forces shaping AI infrastructure, compute economics, and the future of work. Together, they uncover: → Why energy availability, not chip supply, is emerging as the real bottleneck for AI growth. → How Akash connects unused GPU capacity around the world with the developers and enterprises that need it.  → How distributed training is evolving beyond centralized data centers.  → How homes and local energy sources can serve as nodes in AI networks → Greg also talks through what AI adoption means for the workforce, not as replacement but as a shift where AI literacy becomes the key differentiator in who captures value from the transition. If you're thinking about where compute economics, energy constraints, and distributed systems are headed, this one is worth your time. https://lnkd.in/eETfSeh9 

The future of AI does not require more power plants. It requires more efficient infrastructure. Akash moves compute to where the energy already is. That means solar-powered homes, underutilized servers, and existing capacity that would otherwise sit idle. Happy Earth Day!