Rust Machine Learning, GPU Acceleration, Model Inference, Training Framework

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A Two-Stage GPU Kernel Tuner Combining Semantic Refactoring and Search-Based Optimization
arxiv.org·1d
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Show HN: 4x faster Deep Learning training – we replaced the DataLoader with Rust
news.ycombinator.com·1d·
Discuss: Hacker News
🔥Burn
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mozilla/uniffi-rs: a multi-language bindings generator for rust
github.com·9h·
Discuss: r/rust
📦uv
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PyTorch 2.10 Released With More Improvements For AMD ROCm & Intel GPUs
phoronix.com·14h
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Streamlining CUB with a Single-Call API
developer.nvidia.com·10h
🏟️Arena Allocators
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DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation
machinelearning.apple.com·1d
📦Batch Embeddings
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Using Local LLMs to Discover High-Performance Algorithms
towardsdatascience.com·2d
🏗️LLM Infrastructure
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Rust async combinators for elegant and secure concurrency
kerkour.com·1d·
Discuss: r/rust
🔄Async Rust
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Hardware-Aware Reformulation of Convolutions for Efficient Execution on Specialized AI Hardware: A Case Study on NVIDIA Tensor Cores
arxiv.org·1d
Hardware Acceleration
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Making a Language
thunderseethe.dev·9h
💻Programming languages
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AI Systems Performance Engineering
github.com·7h·
Discuss: Hacker News
📅Resource Scheduling
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Uncovering Unfaithful CoT in Deceptive Models
lesswrong.com·6h
🛡️AI Security
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Why AI Needs GPUs and TPUs: The Hardware Behind LLMs
blog.bytebytego.com·2d
Hardware Acceleration
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Managing Memory During ML Compilation
sachinjoglekar.substack.com·2d·
Discuss: Substack
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Rust's standard library on the GPU
vectorware.com·2d·
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Arctic Wolf’s Liquid Clustering Architecture Tuned for Petabyte Scale
databricks.com·14h
ClickHouse
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An AI Skill for Skeptical Dependency Management
nesbitt.io·1d
🔌Claude Plugins
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Qdrant - Vector Database
qdrant.tech·1d
🎯Qdrant
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RUSTSEC-2026-0004: triton-vm: Triton VM Soundness Vulnerability due to Improper Sampling of Randomness
rustsec.org·20h
🔬Rust Profiling
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Randomization in Typst
idraluna-archives.bearblog.dev·12h
💾Prompt Caching
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