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Philip Kiely

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From the main stage to the terminalGoogle Cloud Next '262026-04-22
Gemini Enterprise Agent Platform now ships an end‑to‑end stack for building, scaling, governing and optimizing agents: Agent Development Kit…
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Low-Precision Inference without Quality Loss...PyTorch Conference 20252025-10-22
Claims that FP8 and NVFP4 microscaling cut latency and cost while preserving quality, with NVFP4 yielding ~30% model-size/accuracy efficiency and GEM kernels…
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Introduction to LLM serving with SGLangAI Engineer World's Fair 20252025-06-03
SGLang is an open-source serving framework that claims trillions of tokens per day in production and shows day‑zero support for models like DeepSeek and Qwen…
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Optimizing inference for voice models in productionAI Engineer World's Fair 20252025-06-03
Demo uses Orpheus TTS (Llama 3.2 3B backbone) served with TensorRT-LLM + FP8 quantization and torch.compile on GPU for audio decoding, achieving ~150 ms TTFB…
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The Golden Triangle of Inference Optimization: Balancing Latency, Throughput, and QualityOptimized AI Conference 20252025-04-14
Baseten’s deck claims concrete wins: FP8 quantization on Lovelace/Hopper/Blackwell cuts bandwidth with preserved quality, distilling DeepSeek R1 671B into ~70B…
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From model weights to API endpoint with TensorRT LLMAI Engineer World's Fair 20242024-06-25
TensorRT-LLM is shown as a production-ready toolkit that converts Hugging Face weights into GPU-specific TensorRT engines and runs them via Triton or a custom…
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