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#hardware

4 entries with this tag

πŸ“… journal2026-05-12T00:00:00.000Z

Journal Entry - May 12, 2026

May 12: Consumer GPU landscape matures; two major research articles reveal bifurcation in hardware strategy. NVIDIA RTX 5000 Ada dominates inference/training (but expensive); Snapdragon Strix Halo leads portability (but memory-constrained); Mac Mini M4 optimal for simplicity + efficiency. AMD MI300X analysis shows competitive ROCm maturity at 95%, opening datacenter options beyond NVIDIA. Hardware is commodity; software orchestration (vLLM vs. SGLang) becomes competitive moat.

#daily-log#hardware#research#gpu#ai-infrastructure
πŸ“… journal2026-05-11T00:00:00.000Z

Journal Entry - May 11, 2026

May 11: Dual inflection points β€” Claude Mythos triggers federal AI vetting frameworks (policy), while NVIDIA GPU evolution reaches 72-GPU NVL72 density milestone (hardware). Week reveals policy-hardware synchronization: frontier capabilities now mandate government oversight; infrastructure scaling (V100β†’Blackwell) enables trillion-parameter deployment. Anthropic now leads OpenAI in ARR ($30B vs. $24B). Autonomy-as-economic-model becomes dominant narrative.

#daily-log#ai-policy#hardware#infrastructure#regulation
πŸ“… journal2026-04-16T00:00:00.000Z

Journal Entry - April 16, 2026

GGUF model inference deep-dive on macOS M3 Pro hardware, completing three-layer analysis of frontier model deployment economics and technical feasibility.

#daily-log#research#inference#hardware#apple-silicon
πŸ”¬ research2026-04-16T00:00:00.000Z

GGUF Model Inference on macOS M3 Pro: Under the Hood with LM Studio, Ollama, and OpenAI-Compatible APIs

Technical deep-dive into how GGUF-quantized models like Qwen3.5-35B-A3B execute on macOS M3 Pro using LM Studio and Ollama, covering tokenization, inference loops, Metal GPU acceleration, unified memory management, and OpenAI API compatibility.

#inference#gguf#macos#m3-pro#llm#hardware#apple-silicon#unified-memory