CUDOS

If you’re building AI on proprietary APIs, you’re renting your future. 🔒 ASI:Cloud gives builders: • Open-source LLMs • Transparent GPU pricing • Wallet-based access • Full data + infra control Discover what it really means to build #AI on infrastructure you control. 🌐

OmegaClaw is open-source and available on GitHub. The current release is aimed at advanced developers, as a ready-to-build on the framework, with broader access coming in a full public rollout. Experiment with your own OmegaClaw agent now: github.com/asi-alliance/O…

𝗔𝗹𝗹 𝗔𝗦𝗜𝟭 𝗺𝗼𝗱𝗲𝗹𝘀 𝗮𝗿𝗲 𝗻𝗼𝘄 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝘃𝗶𝗮 𝗔𝗦𝗜:𝗖𝗹𝗼𝘂𝗱 The first Web3-native LLM family is now accessible to everyone at no cost. Built by @Fetch_ai + @ASI_Alliance 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝗶𝘁 𝗵𝗲𝗿𝗲: asicloud.cudos.org/?utm_source=tw…

𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗔𝗿𝗲 𝗘𝘅𝗽𝗹𝗼𝗱𝗶𝗻𝗴. 𝗕𝘂𝘁 𝗪𝗵𝗼'𝘀 𝗣𝗮𝘆𝗶𝗻𝗴 𝘁𝗵𝗲 𝗕𝗶𝗹𝗹? Every startup is building AI agents. But here's what nobody talks about: 𝘙𝘶𝘯𝘯𝘪𝘯𝘨 𝘢𝘨𝘦𝘯𝘵𝘪𝘤 𝘈𝘐 𝘢𝘵 𝘴𝘤𝘢𝘭𝘦 𝘨𝘦𝘵𝘴 𝘦𝘹𝘱𝘦𝘯𝘴𝘪𝘷𝘦 𝘧𝘢𝘴𝘵. 𝘖𝘱𝘦𝘯𝘈𝘐 𝘢𝘯𝘥 𝘈𝘯𝘵𝘩𝘳𝘰𝘱𝘪𝘤 𝘢𝘳𝘦 𝘨𝘳𝘦𝘢𝘵 – 𝘣𝘶𝘵 𝘤𝘰𝘴𝘵𝘴 𝘢𝘥𝘥 𝘶𝘱. 𝘈𝘯𝘥 𝘧𝘰𝘳 𝘵𝘦𝘢𝘮𝘴 𝘸𝘢𝘯𝘵𝘪𝘯𝘨 𝘤𝘶𝘴𝘵𝘰𝘮 𝘮𝘰𝘥𝘦𝘭𝘴, 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘧𝘪𝘯𝘦–𝘵𝘶𝘯𝘦𝘴, 𝘰𝘳 𝘤𝘩𝘦𝘢𝘱𝘦𝘳 𝘪𝘯𝘧𝘦𝘳𝘦𝘯𝘤𝘦, 𝘵𝘩𝘦 𝘰𝘱𝘵𝘪𝘰𝘯𝘴 𝘢𝘳𝘦 𝘭𝘪𝘮𝘪𝘵𝘦𝘥. That's where ASI:Cloud comes in. 🔹Affordable serverless inference. 🔹 Custom model deployment. 🔹 Pay for what you use - no GPU clusters, no infrastructure headaches. 𝗦𝘁𝗮𝗿𝘁 𝗵𝗲𝗿𝗲: asicloud.cudos.org/?utm_source=tw…

Out today! Land. Power. Compute. This report brings together some of the most influential voices in the industry, drawing on an independent survey of 701 AI infrastructure leaders and decision-makers across the UK, the US, and Europe, to uncover the real challenges and opportunities shaping the sector. What to expect inside: - 71% of AI deployment cost is infrastructure, not GPUs - Power availability is the most cited deployment blocker across all regions - 96% of decision-makers are actively adjusting where they build in response to geopolitical and grid conditions. Just 4.3% have made no change. The next phase of #AI won’t be won by whoever buys the most silicon. It’ll be won by whoever can actually switch it on. That’s what we do. Download Land. Power. Compute. today. tinyurl.com/land-power-com…

The ASI Alliance keeps shipping! Check the latest edition of ASI Product & Development Updates: ASI:Chain, ASI:Create, ASI:Cloud all moving fast🏃

AI agents make 5-15 LLM calls per task. At GPT prices, that adds up fast. On ASI:Cloud, run MiniMax M2.5 or Qwen 3.5 at 10-15x less. Rent a VM to host your agent itself from the same platform. No KYC. No blockages. 👉 asicloud.cudos.org/?utm_source=tw…

We integrated Gemma 4 31B into ASI:Cloud What this means for you: → Code generation that rivals closed models → 31B Parameters, 256K context window → Pay-per-token inference (no GPU costs) asicloud.cudos.org/?utm_source=tw…

ASI:Cloud Quick Start Guide: Renting VMs 1️⃣ Go to "Machines" panel 2️⃣ Select the VM's location and config you want 3️⃣ Choose the OS, add your SSH key 4️⃣ Deploy Pay using FIAT or Crypto. Use your existing balance or top it up right in the rental flow. Start now ➡️ asicloud.cudos.org/?utm_source=tw…

🚫 Tired of hitting limits on Cursor? Switch to ASI:Cloud inference + Minimax 2.5 for your coding workflows: 1️⃣ Log into ASI:Cloud 2️⃣ Grab your: - API Key - Model slug - API Endpoint 3️⃣ Paste into Cursor settings 4️⃣ Build Lower your costs now 👉 asicloud.cudos.org

🚀 New models just dropped on ASI:Cloud Now live for inference: • MiniMax M2.5 - crushing benchmarks • Qwen 3.5-35B-A3B - Sonnet-level performance, efficient MoE • GLM 4.7 Flash - Ultra-fast Permissionless AI inference. No waitlists. Try them now 👇 asicloud.cudos.org/?utm_source=tw…

Everyone is chasing bigger AI models. The real shift is open models + usable inference. If deployment stays expensive, closed, or slow, the model doesn’t matter. That’s why infrastructure matters. ➡️ Try ASI:Cloud: asicloud.cudos.org/?utm_source=tw…

𝗔𝗦𝗜:𝗖𝗹𝗼𝘂𝗱 𝗷𝘂𝘀𝘁 𝗶𝗻𝗰𝗿𝗲𝗮𝘀𝗲𝗱 𝗳𝗿𝗲𝗲 𝘀𝗽𝗲𝗲𝗰𝗵-𝘁𝗼-𝘁𝗲𝘅𝘁 𝗹𝗲𝗻𝗴𝘁𝗵 𝘁𝗼 𝟮𝟬 𝗺𝗶𝗻𝘂𝘁𝗲𝘀. Upload your audio, transcribe it fast, and test it directly in the UI for free: asicloud.cudos.org/?utm_source=tw…

@metaverski @steipete @OpenClawAI During an insightful discussion on agentic coding, Peter noted that "vibe coding" can downplay engineering part. Also great to connect with @Thom_Wolf from Hugging Face. Big thanks to @iamxxhe and @mingthemerxiles for the invite and organisation at Imperial College London.

Luke Gniwecki (@metaverski), represented ASI:Cloud at the IC AI Hackathon and met @steipete, creator of @openclawai. Luke talked about building AI products and the demand for GPU compute in the AI-driven world and connected with startups and builders.

𝗪𝗵𝗶𝗹𝗲 𝗲𝘃𝗲𝗿𝘆𝗼𝗻𝗲'𝘀 𝗱𝗲𝗯𝗮𝘁𝗶𝗻𝗴 𝘄𝗵𝗶𝗰𝗵 𝗦𝗧𝗧 𝗺𝗼𝗱𝗲𝗹 𝗶𝘀 𝗳𝗮𝘀𝘁𝗲𝘀𝘁, 𝘄𝗲 𝗷𝘂𝘀𝘁 𝗺𝗮𝗱𝗲 𝗶𝘁 𝗮𝗰𝗰𝗲𝘀𝘀𝗶𝗯𝗹𝗲. ASI:Cloud has speech-to-text built right into the platform. Upload audio, get text. Try it out now 👉 asicloud.cudos.org/?utm_source=tw…

𝗠𝗲𝘁𝗮 𝗷𝘂𝘀𝘁 𝗹𝗼𝗰𝗸𝗲𝗱 𝗶𝗻 $𝟲𝟬𝗕 𝘄𝗶𝘁𝗵 𝗔𝗠𝗗 𝗳𝗼𝗿 𝗔𝗜 𝗶𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗰𝗵𝗶𝗽𝘀. 𝗡𝘃𝗶𝗱𝗶𝗮 𝗮𝗰𝗾𝘂𝗶𝗿𝗲𝗱 𝗚𝗿𝗼𝗾'𝘀 𝘁𝗲𝗰𝗵 𝗳𝗼𝗿 $𝟮𝟬𝗕. 𝗧𝗵𝗲 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝗶𝘀 𝗰𝗹𝗲𝗮𝗿 - 𝗕𝗶𝗴 𝗧𝗲𝗰𝗵 𝗶𝘀 𝗵𝗼𝗮𝗿𝗱𝗶𝗻𝗴 𝗰𝗼𝗺𝗽𝘂𝘁𝗲 𝗮𝘁 𝘂𝗻𝗽𝗿𝗲𝗰𝗲𝗱𝗲𝗻𝘁𝗲𝗱 𝘀𝗰𝗮𝗹𝗲. The problem? This concentrates AI infrastructure in the hands of a few giants. That's exactly why we built ASI:Cloud - distributed, accessible compute and AI inference for everyone. Not just the companies that can write $60 billion checks. AI shouldn't have gatekeepers. 👉 𝗧𝗿𝘆 𝗔𝗦𝗜:𝗖𝗹𝗼𝘂𝗱 𝗮𝗻𝗱 𝘀𝗲𝗲 𝗵𝗼𝘄 𝗼𝗽𝗲𝗻 𝗔𝗜 & 𝗰𝗼𝗺𝗽𝘂𝘁𝗲 𝗹𝗼𝗼𝗸 𝗹𝗶𝗸𝗲: asicloud.cudos.org/?utm_source=tw…

𝗠𝗼𝘀𝘁 𝗪𝗲𝗯𝟯 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 𝗳𝗼𝗿𝗰𝗲 𝘆𝗼𝘂 𝘁𝗼 𝗽𝗶𝗰𝗸 𝗮 𝗹𝗮𝗻𝗲. ASI:Cloud doesn't. Start with a your preferred way to log in. Add Google. Connect your email, Discord, another wallet - all to the same account. Because when you need compute, you need in. Not a login screen getting in your way. 𝗢𝗻𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺. 𝗘𝘃𝗲𝗿𝘆 𝘄𝗮𝘆 𝘁𝗼 𝗮𝗰𝗰𝗲𝘀𝘀 𝗶𝘁. 🔓 asicloud.cudos.org/?utm_source=tw…

Building in AI is hard. Building in AI alone is harder. ASI:Accelerator = infrastructure + mentorship + community support For teams ready to ship, not just pitch. Apply → cudos.org/accelerator?ut…