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CPU Role in Agentic Systems: Inference Orchestration
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In agentic systems, CPUs do two things: orchestrate inference and run everything around it: LLVM compilation, vector DB queries, tool calls.
— SambaNova (@SambaNovaAI) 29 mai 2026
Faster execution at each step = shorter agent loop. That's why Xeon 6 + RDU is the full stack, not just the accelerator. pic.twitter.com/rwYYigDC2EIn agentic systems, CPUs do two things: orchestrate inference and run everything around it: LLVM compilation, vector DB queries, tool calls. Faster execution at each step = shorter agent loop. That's why Xeon 6 + RDU is the full stack, not just the accelerator.
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SambaNova self-evolving agents and SambaCloud playground
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Ready to test it for yourself? All the resources you need are here: – SambaNova announcement: https://
sambanova.ai/blog/build-sel
f-evolving-agents-on-sambacloud-with-minimax-2.7
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– SambaCloud Playground: https://
cloud.sambanova.ai/playground -
Multi-Model Person-of-Interest Detection on Voyager SDK
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Multi-model person-of-interest ID + weapon detection, built on the Voyager SDK. The "weapon" was a lightsaber (Count Dooku's hilt). The specs were real though! 3x 4-chip Metis cards, 48 AIPU cores → 2.5 PetaOPS, 1,440+ model inferences/sec across multiple 8K streams at
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AI Performance as System-Level Enterprise Challenge
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The enterprise takeaway is simple: AI performance is now a system-level challenge. The winners will optimize chips, memory, interconnects, software, and architecture together. Less latency means faster intelligence.
Less movement means lower cost.
Less waste means AI that can -
LogicFolding: 3D Chip Architecture for AI Inference Optimization
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One concept that makes this practical is LogicFolding. Traditional chips spread logic across a flat surface. LogicFolding brings related logic closer together by moving toward more 3D structures. Less distance means less delay. And in AI workloads, small delays compound fast.
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Tau Scaling Law: Beyond Chip Size in AI Systems
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This is the idea behind Tau Scaling Law, also known among peers as Her’s Law. Instead of asking only, “How small can the chip get?” We now have to ask: → Where is time being lost?
→ Where is data waiting?
→ Where are signals traveling too far?
→ Where is the system -
ByteDance Reportedly Building AI Inference Chip Modeled on Groq’s LPU Architecture
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ByteDance is reportedly building its own inference chip modeled on Groq's LPU, the same architecture Nvidia paid roughly $20B to license in December. The LPU keeps the model in on-chip SRAM and skips high-bandwidth memory. HBM is the component the US restricts most tightly for
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Unitree G1 Humanoid Robot Shows Advanced AI-Powered Movement and Balance
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⚡️ NEW: The Unitree G1 humanoid robot showcased advanced walking, balance, and movement capabilities powered by AI-driven real-time motion control
— Amitav Bhattacharjee (@bamitav) 29 mai 2026
pic.twitter.com/tCaIWBaA7O#humanoidtech #humanoid #robot #Robotics #AI #TechRevolution #TechInnovation #ArtificialInteligence…NEW: The Unitree G1 humanoid robot showcased advanced walking, balance, and movement capabilities powered by AI-driven real-time motion control #humanoidtech #humanoid #robot #Robotics #AI #TechRevolution #TechInnovation #ArtificialInteligence