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inference
33 postsScaling Laws Explained: From Kaplan to Chinchilla to Overtraining
A breakdown of LLM scaling laws from Kaplan to Chinchilla, and why modern models are deliberately overtrained to cut inference costs.
Speculative Decoding: The Free Speedup Most Local LLM Setups Skip
Speculative decoding speeds up local LLM inference 1.5-2.5x with identical output; 2026 saw it built into models via multi-token prediction.
LLMrPro: Open-Source LLM Balancer Pools Local Machines With Cloud Fallback
LLMrPro is an open-source, self-hosted LLM balancer that unifies your own machines and cloud providers behind one OpenAI-compatible API.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comHow Netflix Built Its Own In-House LLM Serving Stack
Netflix details its in-house LLM serving architecture: vLLM engine choice, Triton packaging, OpenAI-compatible API, and production rollout issues.
What Bun's Rust Migration Reveals About C# in AI Infrastructure
Bun's Zig-to-Rust rewrite shows why compiled languages matter for production AI infrastructure. TensorSharp benchmarks suggest C# can compete at the inference-engine level.
ZML/LLMD Alpha: One LLM Server Across CUDA, ROCm, TPU, Metal
ZML/LLMD alpha runs LLaMa, Gemma, Qwen and Mistral models across NVIDIA, AMD, TPU, Intel and Apple Metal in one server, with DFlash speeding up inference.
Unified Memory: Why Mini PCs Run 70B Models a Big GPU Can't
Unified-memory mini PCs like AMD's Strix Halo can load 70B-parameter models that a $2,000 RTX 5090 cannot fit. Here's why capacity and bandwidth pull in opposite directions.
OpenAI and Broadcom Unveil Jalapeño, an LLM Inference Chip
OpenAI and Broadcom unveiled Jalapeño, a custom LLM inference chip built in nine months, set for gigawatt-scale data center deployment starting in 2026.
WISP: A CUDA Engine for Streaming 744B+ Parameter MoE Models on Consumer Hardware
WISP is a CUDA engine for streaming 744B+ parameter MoE models on consumer hardware.
Ninfer: High-performance single-GPU inference
NInfer offers a high-performance C++/CUDA inference engine for RTX 5090.