Articles tagged "GPU"

Gemma 4 hardware requirements at a glance: E2B/E4B need 5GB VRAM, 26B MoE 16GB, 31B Dense 24GB (Q4) or 62GB (FP16). Covers RTX 3060 to H100, Apple Silicon M1-M4, CPU-only operation, Mac/Windows/Linux setups, recommended GPUs, and budget tiers — current as of Q2 2026.

An overview of NVIDIA DGX Spark (GB10 Grace Blackwell Superchip, 128GB unified memory, up to 1 PFLOP at FP4, $4,699) and a concrete two-stage workflow for confidential code-migration projects: analyze and sanitize locally, then hand a clean, PII-free representation to cloud frontier LLMs for the actual migration. Practical answers to the "executives won't approve cloud AI even with opt-out" problem.

A detailed guide to downloading Rakuten's latest LLM 'Rakuten AI 3.0' from Hugging Face and building inference environments with vLLM and TGI. Practical coverage from MoE model-specific GPU memory requirements, quantization for optimization, API server construction, to production deployment best practices.