$GGRID was launched. kickstart.easya.io/token/e4g… Millions of GPUs sit idle every day. Gaming PCs at night, AI workstations between jobs, mining rigs doing nothing. At the same time, developers overpay for compute on AWS and Azure. GPU Grid connects them directly. Install a node, contribute your GPU, earn $GGRID. Developers get cheap AI inference through a single API. No middlemen. No datacenters. The network is live. The first nodes are online. Website: gpugrid.app Connect a GPU: gpugrid.app/#/providers Try the API: gpugrid.app/#/app

GPU Grid Playground is live. We built a simple way to experience the network before connecting an API or running your own node. Now anyone can explore GPU Grid without setup and see how community-powered inference works. Free access is powered by the same network as paid usage, meaning providers start receiving real workloads from day one. You can try it without an account with 5 free requests per day. Create an account to unlock 20 more free requests and continue exploring decentralized compute. Try it: gpugrid.app

Trying GPU Grid is about to get much easier. We're changing that. Soon, new users will be able to see GPU Grid in action before going through the full onboarding process. It also means more real traffic flowing to providers from day one. gpugrid.app/

$GGRID is officially listed on CoinGecko. coingecko.com/en/coins/gpu-g…

GPU Grid infrastructure continues to evolve. As the network grows, we're continuing to strengthen the systems behind it, making GPU Grid more reliable, trustworthy and production-ready. This update introduces another layer of infrastructure improvements: Network Integrity • Spot-check validation to help detect unreliable compute. • Canary verification to confirm nodes are serving the hardware they advertise. Privacy • Prompt and response data is never stored. • Configurable retention policies for usage metadata. These aren't user-facing features. They're the kind of improvements that make the entire network stronger, safer and more dependable as GPU Grid scales. We're continuing to build the infrastructure first, so everything on top of it can grow with confidence. gpugrid.app

A quick recap of what we've been building. Over the past few updates, GPU Grid has taken a major step forward. • Complete dashboard redesign for developers and providers • Privy authentication and improved provider onboarding • Live on-chain $GGRID balances • Real network statistics and earnings • Apple Silicon (M4/M5) provider support • GPU verification system • Graceful node shutdowns • Job queue during peak demand • Public documentation and setup guides • $GGRID staking On top of that, 10+ people have already contributed compute to GPU Grid, with 3 providers currently keeping their nodes online and serving the network. This is only the foundation. We're building toward a decentralized compute network that people actually use.

$GGRID Staking is now live. We are taking the next step in building the GPU Grid economy. Stakers now receive a share of real network revenue generated by inference jobs. Rewards come from actual usage. This is only the beginning of how we are improving the role of $GGRID across the network. We are continuing to optimize fees, incentives and token utility to make participation more valuable for everyone involved.

solana:e4gi5NCxK3Eb7HqXV1Rskc3dZtH4hcHTF8dCfa5EASY has been submitted for listing on @coingecko Request ID: CL1007260026 GeckoTerminal: geckoterminal.com/solana/poo… Official contract: e4gi5NCxK3Eb7HqXV1Rskc3dZtH4hcHTF8dCfa5EASY

Staking is coming to GPU Grid. It's one of the key pieces of the network economy and an important step toward making $GGRID more productive inside the ecosystem. We're keeping the details for the full announcement, but this will play a major role in how the network evolves. The network keeps getting stronger.

It aint much but its honest work.

The GPU Grid major update continues. Following the previous product update, we focused on strengthening the core network architecture. As GPU Grid grows, reliability becomes just as important as performance. These updates improve how nodes join, handle workloads and interact with the network. Node Reliability • Added graceful node shutdowns. Nodes can now finish active jobs before going offline, preventing interrupted requests and broken streams during restarts. • Added GPU verification. New nodes can be checked before entering the network to ensure they provide real working compute instead of inactive or invalid hardware. Network Stability • Added job queuing for peak demand. When all suitable nodes are busy, requests can now wait for the next available slot instead of immediately failing with an error. • Improved routing logic to make node availability and workload handling more predictable. These improvements strengthen the foundation of GPU Grid as the network moves from early testing toward real usage. More infrastructure updates are already in development.

GPU Grid now supports Apple Silicon. M4 and M5 Macs can now join the network alongside traditional GPU nodes. That means your Mac mini, Mac Studio or MacBook can process AI workloads, contribute compute to the network and earn $GGRID for every completed request. Getting started only takes a few minutes, and we've documented the entire process step by step. gpugrid.app/#/docs

Brick by brick. Grid by grid

Latest News - $GGRID @GpuGridApp has announced plans to expand its decentralized GPU compute network to support Apple Silicon, including Mac Minis, Mac Studios, and MacBooks. The update addresses the large number of idle Apple devices purchased during the AI boom for running local models and agents, many of which now sit unused. By opening the network to Apple Silicon, Gpu Grid aims to unlock additional compute resources and allow owners to contribute their hardware for meaningful work rather than letting it collect dust. This expansion will enable more participants to earn from their idle machines while increasing the overall capacity of the decentralized network. The move reflects Gpu Grid’s commitment to broadening accessibility across different hardware ecosystems. Community members have responded positively to the practical approach of monetizing underutilized Apple devices. Gpu Grid continues to develop infrastructure that connects supply and demand for decentralized GPU compute on Solana. The upcoming support for Apple Silicon is expected to significantly grow the network’s reach and utility. Users with compatible Macs are encouraged to stay tuned for the rollout. The announcement highlights the project’s focus on making decentralized compute more inclusive and economically viable for a wider range of hardware owners. For all the latest Solana tech news, check out techterminal.info/news. We track and cover updates from over 200+ Solana tech projects in one place.

The AI boom created millions of idle Macs. Mac minis, Mac Studios and MacBooks were bought to run local models and AI agents. Today, many of them sit unused. GPU Grid will open the network to Apple Silicon, allowing those idle machines to contribute compute once again. Your Mac won't just collect dust between projects anymore. Support for Apple Silicon is on the way.

Made a demo where I explained how to set up a node step by step. It's easy, simple and for everyone.

We've added documentation to the Gpu Grid website. If you're curious about how the network works or planning to run a node or integrate the API, it's a good place to start. Inside you'll find: • How GPU Grid works • Node setup guide • Provider onboarding • API documentation • Architecture overview Take a look, and let us know if there's anything you'd like us to cover in more detail. gpugrid.app/#/docs

Major GPU Grid Update. After launching GPU Grid, we started using it ourselves and quickly found a number of things that needed to improve. Here's what's new. Developer & Provider Experience • Completely redesigned dashboards with a cleaner interface and better navigation. • Improved onboarding for both developers and GPU providers. • New bento-style overview with clearer stats, usage and network visibility. Provider Accounts • Providers now sign in with Privy instead of managing long-lived credentials. • Provider tokens are now dedicated to node registration and installation, making account access and node authentication separate. • Node tokens can be regenerated without affecting nodes that are already online. On-chain Integration • Wallets now display your live $GGRID balance directly from Solana. • Better visibility into token ownership without leaving the dashboard. Real Network Data • Provider dashboards now display real jobs, real earnings and real node statistics instead of placeholder values. • We registered live nodes and routed hundreds of requests through the gateway to validate the entire pipeline from routing to settlement. Website • Landing pages were rewritten to better explain the role of $GGRID and how the network operates. • The overall interface has been redesigned to make the product easier to navigate and much easier to understand for new users. This is one of the biggest updates we've shipped since launch. More infrastructure improvements are already in development. gpugrid.app/

Hey guys, recently i released GPU Grid, and took a step back to look at it like i wasn't the one who built it, so few things didn't hold up. Account & product layer: building a full user dashboard (login through privy), with visible stats, clear free plan limits, and a proper pricing page. right now too much of this is invisible or scattered. Docs & onboarding: writing real api documentation to the standard devs expect, plus a full guide on how to list and rent gpus. redesigning the provider and rental flows so they actually feel like a product, not a beta. Marketplace depth: moving from one flat rental option to a real market, where you can pick your specific gpu, compare, and choose. separating the landing page from the actual product so each one does its job properly. Token utility & transparency: making the token's role in the product actually visible, right now there's no on-site interaction with it, and that changes. also tightening up visibility into what's on-chain and where the compute is actually coming from. This is v2. real iteration, built from actually using the thing.

Mainnet is live. Here's what I'm working on. — Stability: right now if a node drops mid-request, the stream just cuts off for the developer, and when all nodes are busy, the API errors out instead of waiting for one to free up. Fixing both before anything else. — Hardware verification: right now nodes self-report their GPU at registration. Adding a real check so the network can confirm the hardware matches what was listed. Watch me shipping: github.com/godshiba/ggrid