Updates and recent posts about INTELLECT-3..

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@devopslinks added a new tool Fleet , 3 days, 16 hours ago.

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@kaptain added a new tool Rancher Kubernetes Engine (RKE2) , 3 days, 16 hours ago.

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@laura_garcia shared a post, 4 days, 1 hour ago

Software Developer, RELIANOID

🔥 𝗕𝗹𝗮𝗰𝗸 𝗙𝗿𝗶𝗱𝗮𝘆 𝗮𝘁 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗: 𝗘𝘅𝗰𝗹𝘂𝘀𝗶𝘃𝗲 𝗣𝗿𝗼𝗺𝗼𝘁𝗶𝗼𝗻𝘀 𝗔𝗿𝗲 𝗟𝗶𝘃𝗲! 🔥

This year, we’re taking Black Friday to the next level — with 𝘁𝗮𝗶𝗹𝗼𝗿𝗲𝗱 𝗽𝗿𝗼𝗺𝗼𝘁𝗶𝗼𝗻𝘀 designed specifically for our users, partners, and customers, who will receive their 𝗲𝘅𝗰𝗹𝘂𝘀𝗶𝘃𝗲 𝗼𝗳𝗳𝗲𝗿 𝗱𝗶𝗿𝗲𝗰𝘁𝗹𝘆 tomorrow, perfectly matched to their environment ➡️ 🎁 𝗖𝘂𝘀𝘁𝗼𝗺𝗶𝘇𝗲𝗱 𝗢𝗳𝗳𝗲𝗿𝘀 𝗳𝗼𝗿 𝗘𝘃𝗲𝗿𝘆 𝗡𝗲𝗲𝗱. 🚀 𝗗𝗼 𝘆𝗼𝘂 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗸𝗻𝗼..

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@thiagoterzi shared a post, 4 days, 1 hour ago

CEO, dgt27

Overcoming Data Duplication in CRM Systems

Learn how to prevent and resolve CRM data duplication using automation, AI tools, and smart integrations like Marketo Salesforce integration to maintain cleaner data.

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@tim_david started using tool WordPress , 4 days, 4 hours ago.

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@tim_david started using tool Magento , 4 days, 4 hours ago.

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@tim_david started using tool HubSpot , 4 days, 4 hours ago.

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@tim_david started using tool Drupal , 4 days, 4 hours ago.

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@laura_garcia shared a post, 4 days, 22 hours ago

Software Developer, RELIANOID

🚀 New Deployment Guide: RELIANOID Enterprise Edition v8 on Azure with Terraform

We're excited to share a 1-minute deployment guide showing how to quickly launch the RELIANOID Load Balancer Enterprise Edition v8 on Microsoft Azure using our official Terraform module. 🔧 What’s inside the guide? Prerequisites (Terraform, Azure CLI, SSH keys) How to find the official Terraform modu..

terraform_relianoid_enterprise_azure_img2

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@thiagoterzi started using tool Salesforce Service Cloud , 4 days, 23 hours ago.

INTELLECT-3 is a frontier-class 100B+ Mixture-of-Experts language model developed by Prime Intellect and trained end-to-end using their large-scale asynchronous RL framework, PRIME-RL. Built on the GLM-4.5-Air base model, INTELLECT-3 combines supervised fine-tuning with long-horizon reinforcement learning across hundreds of verifier-backed environments spanning math, code, science, logic, and agentic tasks.

The model was trained on a high-performance cluster of 512 NVIDIA H200 GPUs across 64 nodes, supported by Prime Intellect’s Sandboxes execution engine, deterministic compute orchestration, and Lustre-backed distributed storage. The result is a model that surpasses many larger systems in reasoning benchmarks while remaining fully open-source.

Prime Intellect released not only the model weights but also the full training recipe: PRIME-RL, Verifiers, the Environments Hub, datasets, and evaluation suites. INTELLECT-3 is positioned as a foundation for organizations seeking to post-train or customize their own frontier-grade models without relying on proprietary AI labs.