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ai startup development
ARM NEON SIMD Intrinsics for Mobile Text Embedding: Building a Sub-10ms Semantic Search Pipeline That Runs Entirely On-Device
Deep dive into using ARM NEON vectorized dot-product and quantized int8 matrix multiplication to accelerate small embedding models (like E5-small or GTE-tiny) o
· 5 min read
ai startup development
Speculative Decoding on Mobile GPUs: Running Draft-Verify LLM Pipelines on Android with Vulkan Compute and Dynamic Batch Scheduling
Implement speculative decoding — where a tiny draft model proposes tokens and a larger verify model accepts/rejects them in parallel — entirely on-device using
· 5 min read
ai startup development
CRDTs for Offline-First Mobile Sync: Automerge in Kotlin Multiplatform, Vector Clocks on Constrained Devices, and the Conflict-Free Data Layer That Eliminates Your Backend Sync Service
Practical implementation of CRDT primitives (LWW-Register, G-Counter, RGA) in KMP shared code with actual Automerge-kt integration, comparing sync strategies (s
· 5 min read