Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

Today, we are launching GMI Agent Box. A complete infrastructure stack for production-ready AI agents: native Docker, flexible deployment, 200+ models under one API key, dedicated compute across regions, and a marketplace for distribution. Available now.

GMI Cloud

9,488 subscribers

1,025,558 Aufrufe • vor 4 Monaten •via X (Twitter)

Bildung Nachrichten & Politik Wissenschaft & Technologie

Anya Rossi• Live Now

Private livecam show

43 Kommentare

Profilbild von GMI Cloud

GMI Cloudvor 4 Monaten

You can 1. use an agent available in our marketplace, deploy in 1 click, and automate with zero human supervision. 2. build an agent and host on GMI, tap 200+ models through a single API key, list on the marketplace, and earn. Start building:

Profilbild von GMI Cloud

GMI Cloudvor 4 Monaten

Explore the docs:

Profilbild von Steven Enamakel 🐥

Steven Enamakel 🐥vor 4 Monaten

Amazing! LFG Gonna integrate this into OpenHuman natively.

Profilbild von Shannon Code

Shannon Codevor 4 Monaten

@kevincodex Wow where was this a month ago, I built my own on top of but had to work around their lack of docker in docker

Profilbild von GMI Cloud

GMI Cloudvor 4 Monaten

@kevincodex 🤣 not too late to deploy on us!

Profilbild von morphic

morphicvor 4 Monaten

@gmi_cloud powers embedded agents on morphic

Profilbild von Nishkarsh

Nishkarshvor 4 Monaten

sandbox of the year!

Profilbild von GMI Cloud

GMI Cloudvor 4 Monaten

our goal 💪

Profilbild von JAYANNG

JAYANNGvor 4 Monaten

Congrats on the launch of GMI Agent Box, this is a proper production-grade stack for AI agents.

Profilbild von Anissa

Anissavor 4 Monaten

@JohnsonEnyenih2 Please check DM

Profilbild von JAYANNG

JAYANNGvor 4 Monaten

@gmi_cloud Alright

Profilbild von Ayaan 🐧

Ayaan 🐧vor 4 Monaten

As a DevOps guy this is refreshing. Native Docker support plus dedicated cloud compute for agents? Nice launch!

Profilbild von Julie Chen

Julie Chenvor 4 Monaten

GMI cloud stands for gonna make it 🔥

Profilbild von Nandkishor

Nandkishorvor 4 Monaten

Everyone is focusing on developing AI agents but no one is focusing on AI Agent infrastructure this is one of the best use cases I have seen

Profilbild von Zoe Wang

Zoe Wangvor 4 Monaten

Huge thanks to the entire team for the incredible work on launching GMI Agent Box today!

Profilbild von Harnoor Singh

Harnoor Singhvor 4 Monaten

This is one step for infra, one giant leap for agents

Profilbild von GMI Cloud

GMI Cloudvor 4 Monaten

aww， thank you Harnoor

Profilbild von Utkarsh Sharma

Utkarsh Sharmavor 4 Monaten

This is a big step toward making AI agents easier to deploy and scale.

Profilbild von Shraddha Bharuka

Shraddha Bharukavor 4 Monaten

Love the focus on deployment and distribution, not just model access. Congrats on the launch!

Profilbild von Ajay Sharma

Ajay Sharmavor 4 Monaten

GMI Agent Box feels like a serious upgrade for agent infrastructure.

Profilbild von codemarch

codemarchvor 4 Monaten

Love the focus on production readiness. Building agents is one thing, deploying them at scale is another.

Profilbild von Jaynit Makwana

Jaynit Makwanavor 4 Monaten

Most discussions focus on building agents. Production is where things get interesting.

Profilbild von Alif Khan

Alif Khanvor 4 Monaten

Fantastic news about the GMI Agent Box launch today!

Profilbild von Gina Acosta

Gina Acostavor 4 Monaten

Agent builders needed this. Less setup. More shipping.

Profilbild von Anthara Fairooz

Anthara Fairoozvor 4 Monaten

Clear docs are underrated. Nice to see docs getting the spotlight. This makes it much easier to understand what GMI Cloud can actually do. Good documentation can save hours of trial and error.

Profilbild von Josh

Joshvor 4 Monaten

AgentBox accelerated our roadmap by a couple weeks stop managing infra and ship what matters

Profilbild von Idum

Idumvor 4 Monaten

This is a massive step 🪜 congratulations to the team and everyone at GMI

Profilbild von Theinfralab

Theinfralabvor 4 Monaten

A solid infrastructure stack like this is exactly what the AI agent ecosystem has been waiting for.

Profilbild von Mohini Shewale

Mohini Shewalevor 4 Monaten

The future belongs to agents that can ship, scale, and earn. GMI Agent Box brings all three together.

Profilbild von Viki

Vikivor 4 Monaten

Wow, 200+ models under one roof? This is simply fantastic!

Profilbild von Saidul

Saidulvor 4 Monaten

Exciting launch. Building production-ready AI agents requires more than just models, and a unified infrastructure stack can significantly simplify deployment, scaling, and distribution for developers and teams.

Profilbild von Harshita Gupta

Harshita Guptavor 4 Monaten

AI agents are evolving from experiments to digital workers.

Profilbild von Parul Gautam

Parul Gautamvor 4 Monaten

Impressive launch, this makes building production-ready AI agents far more streamlined

Profilbild von Shira Wiggles

Shira Wigglesvor 4 Monaten

Wow!

Profilbild von Nick Venturi

Nick Venturivor 4 Monaten

having 200 models under one key is the exact kind of laziness i respect

Profilbild von Aakash Verma

Aakash Vermavor 4 Monaten

This is really impressive

Profilbild von Maciej Dziuba

Maciej Dziubavor 4 Monaten

Song?

Profilbild von GMI Cloud

GMI Cloudvor 4 Monaten

@mm_editing Will get back to you! Need to ask our video team!

Profilbild von Long 7

Long 7vor 4 Monaten

これは面白そうですね！楽しみにしています。

Profilbild von GMI Cloud

GMI Cloudvor 4 Monaten

try it now let us know:

Profilbild von Your AI Girl

Your AI Girlvor 4 Monaten

Thats Cool

Profilbild von kuma 18

kuma 18vor 4 Monaten

Agent infra gets real when Docker is part of the default path.

Profilbild von Krishna Agrawal

Krishna Agrawalvor 4 Monaten

AI agents are becoming digital workers. They need infrastructure built specifically for them. Excited to see this launch.

Ähnliche Videos

Introducing LI.FI’s API for Agentic Commerce, a one-shot integration for building agentic workflows onchain. We’ve released a complete toolkit for AI agents: MCP server, agent skills, and agent-native documentation. Market access for agentic commerce is now solved.

Introducing LI.FI’s API for Agentic Commerce, a one-shot integration for building agentic workflows onchain. We’ve released a complete toolkit for AI agents: MCP server, agent skills, and agent-native documentation. Market access for agentic commerce is now solved.

LI.FI

173,810 Aufrufe • vor 7 Monaten

Top announcement from the Developer Keynote: Gemini Enterprise Agent Platform—a unified dev ecosystem for building production-ready AI agents and infrastructure. What's that mean? Access to 200+ models, including Gemini and Gemma 4 + open source models →

Top announcement from the Developer Keynote: Gemini Enterprise Agent Platform—a unified dev ecosystem for building production-ready AI agents and infrastructure. What's that mean? Access to 200+ models, including Gemini and Gemma 4 + open source models →

Google Cloud Tech

16,489 Aufrufe • vor 5 Monaten

Agents shouldn't see your secrets. Today, most deployments hand the agent a real API key and hope for the best. That's why we're launching Infisical Agent Proxy. You give an agent a fake API key. The agent uses that key and the proxy swaps it for the real one at the network boundary before forwarding it outbound to its destination. An agent can't leak a secret it never sees. Build and deploy AI agents securely with Infisical Agent Proxy.

Agents shouldn't see your secrets. Today, most deployments hand the agent a real API key and hope for the best. That's why we're launching Infisical Agent Proxy. You give an agent a fake API key. The agent uses that key and the proxy swaps it for the real one at the network boundary before forwarding it outbound to its destination. An agent can't leak a secret it never sees. Build and deploy AI agents securely with Infisical Agent Proxy.

Infisical

28,086 Aufrufe • vor 2 Monaten

today we're launching the AI agent stack we built that rocketed us to a $3m AI agent consultancy. we're calling it AgentPress, and it allows you to build production grade AI agents in minutes. here's a video of me creating a sales Q&A agent

today we're launching the AI agent stack we built that rocketed us to a $3m AI agent consultancy. we're calling it AgentPress, and it allows you to build production grade AI agents in minutes. here's a video of me creating a sales Q&A agent

Andy Walters

207,327 Aufrufe • vor 1 Jahr

1/ Today we’re launching the HOL Partner Program. Cohort One brings together 30+ signed partners, including XMTP, GoDaddy, and DSR, to help shape open infrastructure for AI agents. Registries. Payments. Privacy. Security. Communication. Standards. The agent stack is forming now.

1/ Today we’re launching the HOL Partner Program. Cohort One brings together 30+ signed partners, including XMTP, GoDaddy, and DSR, to help shape open infrastructure for AI agents. Registries. Payments. Privacy. Security. Communication. Standards. The agent stack is forming now.

HOL

3,086,718 Aufrufe • vor 5 Monaten

Claude Fable 5 is INSANE 🤯 So we asked it to build the perfect private AI infrastructure, where: → 500+ open models run behind a single API, not one company's black box → An open data marketplace → You fine-tune and serve models on decentralized GPU compute → Agents pay per call in USDC via x402 → Every model, dataset, and payment settles on Base It failed. Luckily, we've spent years building exactly that. Private Inference. Data. Compute. Settlement. One private AI infrastructure layer. Cluster Protocol.

Claude Fable 5 is INSANE 🤯 So we asked it to build the perfect private AI infrastructure, where: → 500+ open models run behind a single API, not one company's black box → An open data marketplace → You fine-tune and serve models on decentralized GPU compute → Agents pay per call in USDC via x402 → Every model, dataset, and payment settles on Base It failed. Luckily, we've spent years building exactly that. Private Inference. Data. Compute. Settlement. One private AI infrastructure layer. Cluster Protocol.

Cluster Protocol

25,820 Aufrufe • vor 4 Monaten

What if your cloud were built AI‑native from day one? Meet Qwen Cloud — Alibaba Cloud’s new AI‑native platform designed to streamline model access and deployment, offering a unified stack for building, deploying, and scaling AI applications and agents.

What if your cloud were built AI‑native from day one? Meet Qwen Cloud — Alibaba Cloud’s new AI‑native platform designed to streamline model access and deployment, offering a unified stack for building, deploying, and scaling AI applications and agents.

Alibaba Group

1,956,687 Aufrufe • vor 3 Monaten

The AI stack is getting messy. OpenAI for chat. Claude for reasoning. Gemini for context. DeepSeek for coding. Grok for experimentation. Now imagine accessing all of them through a single API. CometAPI gives developers: • 500+ AI models • One API key • One endpoint • OpenAI-compatible setup • Pay-as-you-go pricing Less integration work. More building. That's how AI infrastructure should work. Start now:

The AI stack is getting messy. OpenAI for chat. Claude for reasoning. Gemini for context. DeepSeek for coding. Grok for experimentation. Now imagine accessing all of them through a single API. CometAPI gives developers: • 500+ AI models • One API key • One endpoint • OpenAI-compatible setup • Pay-as-you-go pricing Less integration work. More building. That's how AI infrastructure should work. Start now:

Kuria | AI

14,724 Aufrufe • vor 3 Monaten

Today we're open-sourcing nac, an agent harness for long-running tasks, and launching the Arcee open models API beta. Nac is available now under Apache 2.0 on GitHub, built for developers running complex, multi-step engineering workloads.

Today we're open-sourcing nac, an agent harness for long-running tasks, and launching the Arcee open models API beta. Nac is available now under Apache 2.0 on GitHub, built for developers running complex, multi-step engineering workloads.

Arcee.ai

1,771,160 Aufrufe • vor 1 Monat

You can now start selling and renting AI agents to do odd jobs. Like a job marketplace, but for AI agents. I got early access to mule, and recorded a video of one agent finding a plane ticket for me.

You can now start selling and renting AI agents to do odd jobs. Like a job marketplace, but for AI agents. I got early access to mule, and recorded a video of one agent finding a plane ticket for me.

Santiago

22,491 Aufrufe • vor 1 Jahr

WHY ARE AI DEVELOPERS STILL PAYING FOR 5+ DIFFERENT APIs? GPT -> Claude -> Gemini -> DeepSeek -> Grok. Different providers. Different keys. Different integrations. And a growing API bill. DIT ai changes that. → One API gives you access to 50+ leading AI models with a single key. → Lower costs requests are routed across 160+ providers to find competitive real time pricing, with typical savings of 30–70% depending on the model and route. → Keep your stack — DIT ai is OpenAI compatible. Change your base URL + API key instead of rebuilding your entire integration. → Automatic failover — if an upstream provider fails before the response begins, DIT ai automatically reroutes to another qualified provider. For AI agents, SaaS products, startups, and anyone pushing serious API volume, this could make managing AI infrastructure a lot simpler. Same models. One key. Lower bill. LINK BELOW TO TRY IT OUT

WHY ARE AI DEVELOPERS STILL PAYING FOR 5+ DIFFERENT APIs? GPT -> Claude -> Gemini -> DeepSeek -> Grok. Different providers. Different keys. Different integrations. And a growing API bill. DIT ai changes that. → One API gives you access to 50+ leading AI models with a single key. → Lower costs requests are routed across 160+ providers to find competitive real time pricing, with typical savings of 30–70% depending on the model and route. → Keep your stack — DIT ai is OpenAI compatible. Change your base URL + API key instead of rebuilding your entire integration. → Automatic failover — if an upstream provider fails before the response begins, DIT ai automatically reroutes to another qualified provider. For AI agents, SaaS products, startups, and anyone pushing serious API volume, this could make managing AI infrastructure a lot simpler. Same models. One key. Lower bill. LINK BELOW TO TRY IT OUT

MAX

45,561 Aufrufe • vor 1 Monat

Finally... Agents can now trade on Metamask! MetaMask 🦊 officially launches the MetaMask Agent Wallet, providing dedicated financial infrastructure for autonomous AI agents across the digital asset ecosystem. The multi-chain deployment supports a comprehensive suite of networks including Ethereum, Optimism, BNB Chain, Polygon, Monad, Hyperliquid, Sei, MegaETH, Base, Arbitrum, Avalanche🔺, and Linea.eth. Developed in collaboration with Hyperliquid, Polymarket, and Aave, the architecture integrates Blockaid for real-time security and Cubist for specialized key management.

Finally... Agents can now trade on Metamask! MetaMask 🦊 officially launches the MetaMask Agent Wallet, providing dedicated financial infrastructure for autonomous AI agents across the digital asset ecosystem. The multi-chain deployment supports a comprehensive suite of networks including Ethereum, Optimism, BNB Chain, Polygon, Monad, Hyperliquid, Sei, MegaETH, Base, Arbitrum, Avalanche🔺, and Linea.eth. Developed in collaboration with Hyperliquid, Polymarket, and Aave, the architecture integrates Blockaid for real-time security and Cubist for specialized key management.

BSCN

33,529 Aufrufe • vor 2 Monaten

Introducing Lobstack: Simplifying AI Deployment and Management For the past month, I’ve been building something I kept running into myself. Everone knows by now that OpenClaw is powerful. BUT, deploying it shouldn’t require DevOps. Lobstack provisions a dedicated server for you and installs OpenClaw automatically — one click, and your agent is live within minutes. No Docker setup. No terminal. No infrastructure babysitting. Not one line of code. You can choose your dedicated server location, select your LLM (our universal API or your own API), and interact with your agent through the custom web UI or Telegram. Discord, Slack, and more coming. Under the hood, it’s persistent, guarded, and capped — built to run 24/7 like real software. We’re also building a skill + API marketplace and exploring desktop and mobile apps to make agent communication seamless. It’s early. I’d genuinely value feedback from builders, operators, and anyone thinking about autonomous AI infrastructure. Or even any business owner that wants to implement AI into their operations. Try it out: Follow Lobstack for updates. Thanks OpenClaw🦞 community and Peter Steinberger 🦞

Introducing Lobstack: Simplifying AI Deployment and Management For the past month, I’ve been building something I kept running into myself. Everone knows by now that OpenClaw is powerful. BUT, deploying it shouldn’t require DevOps. Lobstack provisions a dedicated server for you and installs OpenClaw automatically — one click, and your agent is live within minutes. No Docker setup. No terminal. No infrastructure babysitting. Not one line of code. You can choose your dedicated server location, select your LLM (our universal API or your own API), and interact with your agent through the custom web UI or Telegram. Discord, Slack, and more coming. Under the hood, it’s persistent, guarded, and capped — built to run 24/7 like real software. We’re also building a skill + API marketplace and exploring desktop and mobile apps to make agent communication seamless. It’s early. I’d genuinely value feedback from builders, operators, and anyone thinking about autonomous AI infrastructure. Or even any business owner that wants to implement AI into their operations. Try it out: Follow Lobstack for updates. Thanks OpenClaw🦞 community and Peter Steinberger 🦞

Brandon M. Crenshaw

128,056 Aufrufe • vor 7 Monaten

EIP-8004 is coming to the Nova architecture, a trustless infrastructure for AI agents that introduces key on-chain registries, enabling agents to interact safely across the Shido Network. These core components allow autonomous AI agents to verify identity, build reputation, and collaborate without relying on a centralized platform. The result is a decentralized trust layer for agent-to-agent economies, where agents can autonomously discover, evaluate, and work with one another across the Shido ecosystem.

EIP-8004 is coming to the Nova architecture, a trustless infrastructure for AI agents that introduces key on-chain registries, enabling agents to interact safely across the Shido Network. These core components allow autonomous AI agents to verify identity, build reputation, and collaborate without relying on a centralized platform. The result is a decentralized trust layer for agent-to-agent economies, where agents can autonomously discover, evaluate, and work with one another across the Shido ecosystem.

Shido

390,734 Aufrufe • vor 7 Monaten

From clean energy ➡️ AI-scale compute. HIVE is launching its BUZZ HPC cloud platform in Paraguay, bringing AI-ready infrastructure to Asunción and opening a new chapter for high-performance compute across South America. CFO Darcy Daubaras breaks down the strategic importance. ⬇️

From clean energy ➡️ AI-scale compute. HIVE is launching its BUZZ HPC cloud platform in Paraguay, bringing AI-ready infrastructure to Asunción and opening a new chapter for high-performance compute across South America. CFO Darcy Daubaras breaks down the strategic importance. ⬇️

HIVE Digital Technologies

39,607 Aufrufe • vor 8 Monaten

Today we are announcing Box Agent Security and Governance. AI agents are reading files, moving content, and triggering actions across your most sensitive data at machine speed. Most security tools were not designed for this. Box closes the gap at the content layer: · Prompt injection detection before it reaches the model · Agent guardrails on what agents can and cannot do · Classification-based access policies extending Box Shield to AI · Audit trails for every agent session No additional software. No per-vendor configuration.

Today we are announcing Box Agent Security and Governance. AI agents are reading files, moving content, and triggering actions across your most sensitive data at machine speed. Most security tools were not designed for this. Box closes the gap at the content layer: · Prompt injection detection before it reaches the model · Agent guardrails on what agents can and cannot do · Classification-based access policies extending Box Shield to AI · Audit trails for every agent session No additional software. No per-vendor configuration.

Box

749,502 Aufrufe • vor 2 Monaten

The Microsoft AI model family expands in Microsoft Foundry with 7 new models. A complete multimodal stack: Text, image, transcription, and voice, ready for developers to build with under one set of governance and security controls. #MSBuild

The Microsoft AI model family expands in Microsoft Foundry with 7 new models. A complete multimodal stack: Text, image, transcription, and voice, ready for developers to build with under one set of governance and security controls. #MSBuild

Microsoft

52,863 Aufrufe • vor 4 Monaten

$DDOG fits into agentic AI stack because AI makes infrastructure much more complex across models, managing GPU fleets, monitoring token costs and production workflows. That creates a massive monitoring problem and Datadog monetizes it by becoming the dashboard for AI complexity.

$DDOG fits into agentic AI stack because AI makes infrastructure much more complex across models, managing GPU fleets, monitoring token costs and production workflows. That creates a massive monitoring problem and Datadog monetizes it by becoming the dashboard for AI complexity.

Shay Boloor

54,452 Aufrufe • vor 5 Monaten

$The future of AI deployment should be fast, affordable, and owned by all. Introducing Gradient Cloud, the all-in-one station for building with AI, powered by the Gradient distributed AI stack. Run frontier models at production speed for a fraction of the cost.$

The future of AI deployment should be fast, affordable, and owned by all. Introducing Gradient Cloud, the all-in-one station for building with AI, powered by the Gradient distributed AI stack. Run frontier models at production speed for a fraction of the cost.

Gradient

128,411 Aufrufe • vor 1 Jahr

An AI agent can now register its on-chain identity, pay for API calls, and deploy an ERC-20 token from the terminal. No browser. No API key. No human approval loop. Today we launch the Brickken CLI: a command-line interface for agentic transaction workflows. The developer journey is direct: CLI → x402 → ERC-8004 → Token Deploy What this means in practice: • A developer or the AI agent installs the CLI. • The agent pays for Brickken API calls through x402. • The agent registers its identity through ERC-8004. • The agent deploys and manages an ERC-20 token. Together, the stack gives agents three things they usually lack: a way to pay, a way to prove who they are, and a way to execute token operations without leaving the terminal. • x402 handles payment. • ERC-8004 handles agent identity. • Token Deploy handles ERC-20 execution. This is live today. Developers can now move from agent setup to payment, identity registration, and token deployment in one terminal workflow. Start here: Watch the demo. Run the commands. Deploy from the terminal.

An AI agent can now register its on-chain identity, pay for API calls, and deploy an ERC-20 token from the terminal. No browser. No API key. No human approval loop. Today we launch the Brickken CLI: a command-line interface for agentic transaction workflows. The developer journey is direct: CLI → x402 → ERC-8004 → Token Deploy What this means in practice: • A developer or the AI agent installs the CLI. • The agent pays for Brickken API calls through x402. • The agent registers its identity through ERC-8004. • The agent deploys and manages an ERC-20 token. Together, the stack gives agents three things they usually lack: a way to pay, a way to prove who they are, and a way to execute token operations without leaving the terminal. • x402 handles payment. • ERC-8004 handles agent identity. • Token Deploy handles ERC-20 execution. This is live today. Developers can now move from agent setup to payment, identity registration, and token deployment in one terminal workflow. Start here: Watch the demo. Run the commands. Deploy from the terminal.

Brickken

119,221 Aufrufe • vor 3 Monaten