#on-device-ai

9 posts tagged with #on-device-ai

Every article below is hand-written, technically reviewed, and focused on on-device-ai. Posts cover real-world architecture decisions, code-level implementation patterns, and trade-offs you'll only discover after shipping production systems.

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LLM Quantization Levels Compared: Q4_K_M vs Q8_0 vs FP16 [2026]

The practitioner's guide to choosing between Q4_K_M, Q5_K_S, Q8_0, and FP16 quantization for local LLMs — with real perplexity numbers, throughput benchmarks, and per-use-case recommendations.

Abstract golden wave pattern on black background. AI and Machine Learning

Apple's Gemini-Powered Foundation Models: What the New AI Architecture Actually Means for Developers [2026]

Apple shipped five foundation models at WWDC 2026 — two on-device, three in Private Cloud Compute, one refined by Gemini on Google Cloud. Here's what the architecture actually means for your apps.

Abstract geometric pattern of yellow and red lines. AI and Machine Learning

NVIDIA RTX Spark: What the Backlash Gets Wrong About AI on Your Desktop [2026]

RTX Spark launched to massive controversy — privacy fears, Apple Silicon comparisons, and marketing skepticism. Here's what actually matters for developers running local models.

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Gemma 4 12B vs GPT-4o Mini vs Claude Haiku: Is Google's Local LLM Good Enough to Replace API Calls? [2026]

I ran Gemma's 12B model locally via Ollama and compared it against GPT-4o Mini and Claude Haiku on real dev tasks — here's when the free local model actually beats paid APIs.

Gemma 3 vs Llama 3 (2026): Which Open-Weight LLM Actually Wins? AI and Machine Learning

Gemma 3 vs Llama 3 (2026): Which Open-Weight LLM Actually Wins?

Llama 3 wins for ecosystem depth, community tooling, and large-scale deployments; Gemma 3 wins for hardware efficiency, multimodal tasks, and privacy-first on-device workloads. Your hardware budget and use case should decide this — not brand loyalty.

LM Studio vs Jan (2026): Which Local LLM GUI Actually Wins? Developer Tools

LM Studio vs Jan (2026): Which Local LLM GUI Actually Wins?

LM Studio wins for polished UX and OpenAI-compatible APIs; Jan wins for open-source transparency and offline-first privacy. Here's exactly when to pick each.

Apple M4 vs M4 Max for Local LLMs in 2026: Which Should You Buy? AI and Machine Learning

Apple M4 vs M4 Max for Local LLMs in 2026: Which Should You Buy?

The M4 Max wins for serious local LLM work thanks to its unified memory ceiling and bandwidth advantage; the base M4 wins for portability and budget-conscious inference on smaller models. Here's exactly where the line falls.

Phi-3 vs Gemma 3 in 2026: Which Small LLM Wins for Edge Inference? AI and Machine Learning

Phi-3 vs Gemma 3 in 2026: Which Small LLM Wins for Edge Inference?

Phi-3 wins for ultra-constrained edge devices and Windows/Azure pipelines; Gemma 3 wins for multimodal tasks, Raspberry Pi deployments, and open-ecosystem flexibility. Here's the definitive breakdown.

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MWC's Robot Obsession Distracted You From What Actually Matters

Everyone shared the dancing robot videos from MWC 2024. Almost nobody talked about the on-device AI demos that will actually change how you use your phone.