Nvidia needs to chop knowledge middle water use, however that is not the identical as fixing AI’s water drawback

Nvidia needs to chop knowledge middle water use, however that is not the identical as fixing AI’s water drawback

Nvidia simply introduced a warm-water cooling system that it says can dramatically cut back the quantity of water an information middle makes use of — eliminating “just about all water utilization” inside the information middle, in keeping with an Nvidia govt in a press release.   “The water consumption problem for knowledge facilities is basically…

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Prime Intellect Releases prime-rl 0.6.0 to Train Trillion-Parameter MoE Models on Agentic RL Workloads

Prime Intellect has released prime-rl version 0.6.0. The framework targets reinforcement learning on trillion-parameter Mixture-of-Experts (MoE) models. It focuses on heavy agentic workloads, like long-horizon software-engineering tasks. The research team trained GLM-5 on SWE tasks at up to 131k sequence length. Step times stayed under five minutes. The batch size was 256 rollouts. The run…

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OpenAI launches new initiative to assist discover and patch open supply bugs

OpenAI launches new initiative to assist discover and patch open supply bugs

OpenAI announced a new initiative on Monday designed to assist the open supply neighborhood enhance its cybersecurity sport and push back bugs. “Patch the Planet” (which is a not-so-subtle allusion to “Hack the Planet,” the enduring catchphrase from the 1995 film “Hackers”) will see OpenAI staff up with the safety firm Trail of Bits to assist…

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GLM-5.2 OpenAI-Appropriate API: A Arms-On Information to Reasoning Effort, Operate Calling, and Lengthy-Context Retrieval

GLM-5.2 OpenAI-Appropriate API: A Arms-On Information to Reasoning Effort, Operate Calling, and Lengthy-Context Retrieval

import sys, subprocess subprocess.run([sys.executable, “-m”, “pip”, “install”, “-q”, “-U”, “openai”], examine=False) import os, re, json, time, getpass from openai import OpenAI PROVIDERS = { “zai”: {“base_url”: “https://api.z.ai/api/paas/v4/”, “mannequin”: “glm-5.2”, “env”: “ZAI_API_KEY”}, “openrouter”: {“base_url”: “https://openrouter.ai/api/v1”, “mannequin”: “z-ai/glm-5.2”, “env”: “OPENROUTER_API_KEY”}, “collectively”: {“base_url”: “https://api.collectively.xyz/v1”, “mannequin”: “zai-org/GLM-5.2″,”env”: “TOGETHER_API_KEY”}, “requesty”: {“base_url”: “https://router.requesty.ai/v1”, “mannequin”: “zai/glm-5.2”, “env”: “REQUESTY_API_KEY”}, “huggingface”: {“base_url”: “https://router.huggingface.co/v1″,”mannequin”: “zai-org/GLM-5.2″,”env”:…

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Microsoft and Chevron plan one of many largest gas-powered information middle initiatives in US

Microsoft and Chevron plan one of many largest gas-powered information middle initiatives in US

Microsoft and Chevron introduced plans on Monday to develop a 2.67-gigawatt pure fuel energy plant in West Texas to serve the tech firm’s AI and cloud information facilities. Below the 20-year energy buy settlement, the plant will present devoted electrical energy to a Microsoft-operated information middle. Two massive GE Vernova generators will generate a lot…

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xAI Launches /goal in Grok Build, Adding Long-Running Autonomous Execution With Built-In Verification for Multi-Step Coding Tasks

xAI shipped a new mode called /goal inside Grok Build, its terminal coding agent. The feature targets long-running, autonomous task execution. You hand the agent a larger implementation task, then step back. Most coding sessions require back-and-forth execution and verification. You prompt, the agent acts, and you verify each step. /goal changes that loop. The…

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