#applicationsofgridcomputing kết quả tìm kiếm

2/ Meet GRID: The world's largest coordinated network of intelligence The GRID (Global Research and Intelligence Directory) is a network of specialized agents, models, data, tools, and compute—contributed by the world’s best builders—working together to deliver AGI-level…

Agentic AI use cases: retail, healthcare, finance, supply chain, and more! Use this reference architecture to design sophisticated multi-agent AI systems that are secure, reliable, high-performing, easy to operate, and cost-efficient → goo.gle/48zVKBm

Here's a little math problem about GRID 🤔 Multiple agentic capabilities available in one place Data sources across industries + Reasoning to bring it all together —————————————————————————— = The best answers you can ask for

How does the GRID orchestrate intelligence? By routing, combining, and coordinating thousands of models, agents, and data streams, the GRID scales like a distributed brain. As it grows, its collective intelligence compounds, delivering toward AGI-level output. Here’s how the…

This seems huge Alibaba has introduced a computing pooling solution that it said led to an 82% cut in the number of Nvidia GPUs needed to serve its AI model 👀 "The new Aegaeon system can serve dozens of large language models using a fraction of the GPUs previously required,…

Interactive windowed UI dApps which are to blow your mind away? Make sure to check ongoing LIVE development on our Discord server and YouTube 🪄

Introducing grounding with Google Maps in the Gemini API, bringing data about 250 million places and Gemini together to create all new experiences 🗺️! So powerful to connect things like maps + search together in a single experience : )

100K+ requests served by Parallax in 2 weeks. 6 continents, 50+ languages. 1 fully distributed experience powered by just a handful of consumer GPUs. Proof that intelligence can break free from centralized chip deals, and run on devices owned by you and me. Next up: Macs

We've decided to shut down Grids today. Grids started as a link-in-bio for designers. As we learned more about their needs, we arrived at the version of Grids we have today: a job search platform. To truly solve the problems of our users, we feel we should build software that…

2/ Products of the GRID Recursive Open Meta Agent (ROMA): Multi-agent framework that breaks down complex queries into smaller, more achievable tasks. The first use-case (deep research) outperforms all existing deep research model platforms and is open for builders to…

𝐓𝐇𝐄 𝐆𝐑𝐈𝐃 𝐅𝐎𝐋𝐋𝐎𝗪-𝐔𝐏 | 𝐃𝐄𝐄𝐏 𝐃𝐈𝐕𝐄! The hype is real. But let’s slow it down for a second… and unpack why GRID is not just another AI framework but the foundation for an open, unstoppable intelligence network. 🧵 Let’s break it down: #GRID #SentientAGI…

Sentient GRID Ecosystem @SentientAGI GRID is a decentralized, open-source AGI network that orchestrates specialized agents throughout the Sentient ecosystem, forming the world’s largest collective intelligence, with all of them working together Key components include: • ROMA…

🔶GRID is already a platform with a global presence and tangible impact. However, growth is not only about numbers it's also about expanding connections and creating real world value. In the coming period, we see GRID's expansion across three main dimensions: 🔸Partnerships…

Let’s build together. Explore what’s possible with Grid: lightspark.com/grid API docs: grid.lightspark.com

JavaScript data grid with spreadsheet features for web apps

Understanding @SentientAGI - day 15 GRID already works with dozens of agents and data providers But equally important part of system is that anyone can contribute something new This is done through artifact registration process Artifact is model tool or data source To become…

gRPC is cool, but it cant be used everywhere and anywhere. If you have multiple microservices, huge data to send across the wire, need high performance then its the best to use. Below is a small todo app built on top of gRPC framework.

The AI boom isn’t just about compute, it’s about power. Distributed compute is the key to solving the energy crisis. By spreading workloads across homes, regions, and microgrids, we can turn idle GPUs into global infrastructure, without draining centralized grids. Read more…