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Italiano(IT) ⚡ Murakkab: -3.7x energia per agenti AI MIT + Microsoft hanno rilasciato Murakkab: riduce costi agenti AI del 4.3x, GPU del 2.8x, energia del 3.7x. Semplice des

MIT and Microsoft unveil Murakkab to cut AI agent costs by 75%

By PulseAugur Editorial · [3 sources] ·

Researchers from MIT and Microsoft have developed Murakkab, a system designed to optimize the creation and deployment of AI agentic workflows. Murakkab automatically selects the most suitable AI models and tools, configures necessary hardware, and dynamically allocates computational resources. Initial tests demonstrated significant improvements, including a 65% reduction in computational units, a 73% decrease in energy consumption, and over a 75% cost saving, all while preserving performance levels. AI

IMPACT Murakkab's demonstrated cost and energy savings could accelerate the adoption of complex AI agentic workflows in resource-constrained environments.

RANK_REASON The cluster describes a new system developed by academic and industry researchers for optimizing AI agent workflows.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

MIT and Microsoft unveil Murakkab to cut AI agent costs by 75%

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COVERAGE [3]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    MIT and Microsoft researchers have developed Murakkab, an intelligent system that streamlines the design and deployment of AI agentic workflows. The system auto

    MIT and Microsoft researchers have developed Murakkab, an intelligent system that streamlines the design and deployment of AI agentic workflows. The system automatically identifies the best models and tools, configures hardware, and allocates computational resources in real time.…

    LINKS news.mit.edu/…/improving-ai-agent-speed-a…
  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    🤖 Improving the speed and energy-efficiency of AI agents A new system, known as Murakkab, optimizes the design and deployment of multistep workflows that power

    🤖 Improving the speed and energy-efficiency of AI agents A new system, known as Murakkab, optimizes the design and deployment of multistep workflows that power AI applications. 📰 Source: MIT News - Machine learning 🔗 Link: https://news.mit.edu/2026/improving-ai-agent-speed-and-en…

    LINKS news.mit.edu/…/improving-ai-agent-speed-a…
  3. Mastodon — mastodon.social TIER_1 Italiano(IT) · AI_BEAR_NEWS ·

    ⚡ Murakkab: -3.7x energy for AI agents MIT + Microsoft released Murakkab: reduces AI agent costs by 4.3x, GPUs by 2.8x, energy by 3.7x. Simple des

    ⚡ Murakkab: -3.7x energia per agenti AI MIT + Microsoft hanno rilasciato Murakkab: riduce costi agenti AI del 4.3x, GPU del 2.8x, energia del 3.7x. Semplice descrizione → sistema configura tutto in automatico. Fonte: MIT News 👇 🤖⚡🧠 # AI # AgentiAI # MIT

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