Ternary Bonsai 2 27B: 1.76-Bit LLM Inference on Edge Hardware
PrismML released Ternary Bonsai 2 27B under Apache 2.0 at 1.76 effective bits per weight. What ternary weights mean for edge memory, latency and accuracy.
ExecuTorch 1.5 On-Device LLM Serving (2026): Batched Scheduling, Cancellation and Off-Graph KV Cache
ExecuTorch 1.5 shipped multi-method export, batched request scheduling, bounded cancellation and off-graph KV cache. What it changes for on-device LLM apps.
Ollama vs LM Studio vs Jan (2026): Local LLM Runner Compared
Ollama vs LM Studio vs Jan for running local LLMs in 2026: backends, model formats, OpenAI-compatible APIs, GPU support, privacy and developer workflow. Decision guide.
Apple WWDC 2026 On-Device AI: What Falls Apart in Production
Apple's WWDC 2026 on-device AI push, analyzed — what works, what hits memory bandwidth walls, and where the cloud fallback hides.