ashvardanian
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- AI Model Co-Design: Hardware-Friendly LLM Design (developer.nvidia.com)
- Nvidia CUDA Python 1.0 and CUDA 13.3 Release (developer.nvidia.com)
- Laguna XS.2 and Laguna M.1 by Poolside (poolside.ai)
- FP8 Search and KV-Caching in USearch (unum.cloud)
- Escaping the Fork: How Meta Modernized WebRTC Across 50 Use Cases (engineering.fb.com)
- Porting Go's io package to C (antonz.org)
- Schema as the Core of Reliability in AI Memory (xmemory.ai)
- NumKong: 2'000 Mixed Precision Kernels for All (ashvardanian.com)
- The State of Allocators in 2026 (cetra3.github.io)
- Recraft V4 (recraft.ai)
- Running Async WebAssembly on Seastar's Reactor (rockwotj.com)
- Open source USearch library jumpstarts ScyllaDB vector search (thenewstack.io)
- Nvidia: Using Context as Training Data Unlocks Models That Learn at Test-Time (developer.nvidia.com)
- Nvidia Kicks Off the Next Generation of AI with Rubin – Six New Chips (nvidianews.nvidia.com)
- Building Code-Chunk: AST Aware Code Chunking (supermemory.ai)
- Rust: Using String and andstr in your APIs (dx13.co.uk)
- Full Unicode Search at 50× ICU Speed with AVX‑512 (ashvardanian.com)
- Emulating AVX-512 intrinsics in Miri (trifectatech.org)
- Why we built Lightpanda in Zig (lightpanda.io)