Inference

  1. AMD Acquires Taalas: Etching LLM Weights Into Silicon at 17,000 Tokens/Second

    AMD is acquiring Taalas, the Toronto startup that etches model weights directly into silicon — its HC1 chip serves Llama 3.1 8B at 17,000 tokens/sec, 48-73x faster than …

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  2. Xorbits Inference: Scalable LLM Serving Platform

    Deploying large language models in production is a fundamentally different challenge from training them. Training requires massive clusters and weeks...

    AI
  3. SGLang Omni: Multimodal LLM Inference with SGLang

    Multimodal AI — models that understand images, audio, and video alongside text — has moved from research novelty to production necessity. Document...

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  4. ik_llama.cpp: Fork of llama.cpp with IQ4_NL and Advanced Quantization

    The ecosystem around llama.cpp has produced numerous forks, each exploring different optimization strategies for running LLMs efficiently on consumer...

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  5. Gemma.cpp: Google's Lightweight C++ Inference Engine for Gemma Models

    The landscape of LLM inference has largely been shaped by two approaches: heavyweight frameworks like PyTorch with full GPU acceleration, or highly...

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  6. NVIDIA Stock Rises on AI Demand: What Chip Investors Should Watch

    Geopolitics and AI Demand: What Truly Underpins NVIDIA’s Stock Resilience? A slight easing in geopolitical tensions might offer temporary relief for market …

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