Join our own Ian Buck at #OCPSummit25 to see how NVIDIA + the OCP ecosystem are shaping the future of AI data center infrastructure.
COMPUTING
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GPU-Accelerated Quantum Error Decoding Advances Practical Applications
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From faster decoding of quantum errors to designing larger systems of qubits, researchers are using GPU-accelerated tools to expand classical computation and bring useful quantum applications closer to reality. Learn more: https://
nvda.ws/42mfZ1v -
EXL3 Quantization Development for AI Models
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working on an exl3 quantization for it right now i am more excited for this though (quote tweet)
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Terminal-Bench: Evaluating AI Coding Assistants Performance
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Why does Terminal-Bench matter?
AI coding assistants (Claude Code, Codex, Cursor, & Devin) rely on command-line interfaces. The terminal represents a convergence of power, flexibility, & the text-based modality where language models excel—hence the need for robust evaluation. -
Mobile Industry Stagnation: Hardware Innovation at Standstill
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as you should mobiles have been stagnating for years now
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GLM 4.5/4.6 Support Coming to Tenstorrent Local Cluster
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i put in a request to get GLM 4.5/4.6 supported with the Tenstorrent team hoping to make that the first local livestream from my Tenstorrent 4x QuietBox Blackhole cluster my Agentic workflows are about to skyrocket, and all locally 🙂
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NumPy’s Simple File I/O API and PyTorch Tensor Limitations
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Numpy’s fromfile()/tofile() make me smile — no typing or byte order metadata, they just write/read the raw bytes. A joyful API! I wish PyTorch had them natively on tensors, so I wasn’t doing so many tensor.cpu().numpy() operations.
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Accelerate Your Journey to Autonomous Network Lifecycle Management
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Discover how you can accelerate your journey to an autonomous network lifecycle: ibm.co/6017BJdal
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API Standards and Implementation Challenges in AI Development
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I agree with you, I think that's why this isn't happening yet – plus there are still new features to be invented, a standard could slow that down But as someone who implements against these APIs I can dream!
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Deeper reasoning across all domains
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Reasoning gains across every domain. Finance professionals, lawyers, medical researchers, STEM academics all tested it independently. Universal feedback: "dramatically better domain knowledge and reasoning" than Opus 4.1. Not faster answers. Deeper thinking.