The Growing Alphabet of #AI Chips Explained
by @antgrasso #ArtificialIntelligence #Innovation #EmergingTech
HARDWARE
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The Growing Alphabet of AI Chips Explained
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SambaNova’s disaggregated inference cuts agent latency by 48%
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Same model. Same workload. Different architecture. According to @ArtificialAnlys
, disaggregating prefill and decode reduced agent trajectory latency from 310 seconds to 162 seconds. The right chip for the right workload changes everything. Read more: https://
sambanova.ai/blog/first-dis
aggregated-inference-demo-for-ai-agents-live?utm_source=x&utm_medium=organic
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Disaggregated Inference: GPU for Prefill, RDU for Decode
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AI agents spend their time doing two very different jobs: understanding context and generating responses.
— SambaNova (@SambaNovaAI) 15 juin 2026
Disaggregated inference sends each stage to the hardware best built for it.
GPUs for prefill. RDUs for decode. Better performance from both. ⚡ pic.twitter.com/KFXRdUBLWxAI agents spend their time performing two very different tasks: understanding context and generating responses. Disaggregated inference sends each step to the hardware best suited for that task. GPU for prefill. RDU for decode. Better.
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Frontier computer-use agent fails on 21 of 25 electrical engineering tasks
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New research: we partnered with @francedot and @ddupont808 at @trycua to stress-test a frontier computer-use agent on real electrical engineering tasks.
— Snorkel AI (@SnorkelAI) 15 juin 2026
25 expert-authored KiCad tasks. 4 passed. 0 build-from-scratch tasks succeeded.
The failure modes are concrete and they point… https://t.co/qHDpHC4jFFNew research: we partnered with @francedot and @ddupont808 at @trycua to stress-test a frontier computer-use agent on real electrical engineering tasks. 25 expert-authored KiCad tasks. 4 passed. 0 build-from-scratch tasks succeeded. The failure modes are concrete and they point
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AI-powered oven toasts bread using camera and NVIDIA Jetson
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My whole life is that way. My toast was toasted by an oven with a camera that looked at the toast, sent that to an NVIDIA Jetson card, and an AI decided how long to toast it. What a world!
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Living brain cells play DOOM in neuromorphic computing breakthrough
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Living Brain Cells Play DOOM: Cortical Labs Pushes Neuromorphic Computing Forward
— Ronald van Loon (@Ronald_vanLoon) 15 juin 2026
by @IntEngineering#Innovation #EmergingTech #Technology #Tech pic.twitter.com/n686AvoVhPLiving Brain Cells Play DOOM: Cortical Labs Pushes Neuromorphic Computing Forward
by @IntEngineering #Innovation #EmergingTech #Technology #Tech -
Edge AI partnership for real-time computer vision in AI PCs
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Edge AI should be powerful enough for industrial workloads and compact enough to deploy anywhere. We have partnered with SMARTSTATION to integrate our Metis AIPU into next-gen AI PCs. Real-time computer vision made accessible, without cloud dependencies. Link:
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ROLI AI Music Coach teaches piano with hand tracking
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ROLI’s #AI Music Coach Uses Hand Tracking to Teach Piano in Real Time
— Ronald van Loon (@Ronald_vanLoon) 15 juin 2026
by @IntEngineering#ArtificialIntelligence #MachineLearning #ML pic.twitter.com/0b3w2GTCU6ROLI’s #AI Music Coach Uses Hand Tracking to Teach Piano in Real Time
by @IntEngineering #ArtificialIntelligence #MachineLearning #ML -
UK and Europe cannot compete due to massive chip costs
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We should talk @matthewclifford
. It is incorrect to think the UK and Europe are fine or that they could catch up within a year. It costs $1B to $5B just in chips to be frontier. The idea that we can build small models, like Llama, and expect to compete with 2B ones trained on -
Binarized Neural Networks On-Chip Platform for Efficient AI
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Binarized Neural Networks on-Chip Platform! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Binarized-NNs