Why does this matter for AI inference specifically? Training = throughput problem. Inference = latency problem. When a user talks to an AI assistant, tokens have to return fast. Latency, memory access, bandwidth, and interconnect all matter, not just raw compute. In large AI
SYSTEMS
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Coding agent retry loop: 10,000 calls huge bill
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A coding agent gets stuck in a retry loop during the night. By morning, it has made 10,000 LLM calls. You now have a four-digit bill. Observability tells you what happened, but stopping these problems before they
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SambaNova at Avnet SKO: AI infrastructure and superhero comics
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Premium inference, but make it comics We had a great time at the @Avnet SKO with Harry Ault talking about the future of AI infrastructure and agentic workloads, plus a few SambaNova superheroes making an appearance. Always a fun time partnering with Avnet!
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Learning Path for LLM Serving Engines: vLLM, SGLang, TensorRT-LLM
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How to go about learning all of this? 1st: Start with the serving engine view – vLLM: PagedAttention, continuous batching, prefix caching, CUDA graphs – SGLang: RadixAttention/prefix reuse, speculative decoding, MoE, structured/agent workloads – TensorRT-LLM: NVIDIA peak
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AI shifts from reactive programming to proactive orchestration
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The deeper shift is from reactive programming to proactive orchestration, where AI anticipates needs rather than just responds. It's about designing systems that learn intent, not just behavior.
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AI Referees in Beach Volleyball: Enhancing Game or Changing Its Soul?
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#AI Referees the Sand: Real-Time Beach Volleyball Analysis — Enhancing the Game or Changing Its Soul?
— Ronald van Loon (@Ronald_vanLoon) 8 juin 2026
by @measure_plan#ArtificialIntelligence #MachineLearning #ML pic.twitter.com/rlLWq2ZKgc#AI Referees the Sand: Real-Time Beach Volleyball Analysis — Enhancing the Game or Changing Its Soul?
by @measure_plan #ArtificialIntelligence #MachineLearning #ML -
Huawei electric powertrain and autonomous driving platform used by Chinese carmakers
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Huawei has developed an electric power train and autonomous driving platform that is being used by incumbent Chinese carmakers through new brands like AITO. The blue light tells you that the car is driving itself…
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AI memory requires engineering structure and data boundaries
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AI memory is not something that can be explained with just a demo. It must eventually land in engineering structure, data boundaries, and real workflows.
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Samsung MeKi: Memory-Based Expert Knowledge Injection for LLMs
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Want to scale LLMs without skyrocketing compute costs? Samsung presents MeKi: Memory-based Expert Knowledge Injection. Instead of making models bigger to learn everything, MeKi gives LLMs a dynamic memory bank of expert knowledge. Think of it as a cheat sheet the model can
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AI crosses the threshold of recursive self-improvement
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AI has just crossed a threshold: recursive self-improvement. Models write the code that trains them, discover the algorithms that will make them better, design the chips that run them… The machine improves the machine, which will improve the machine.