AI SPT TCH XB xbill Self-hosting a lite agent backend on one TPU chip A single Google Cloud TPU v5e chip — 16 GB of HBM, about $0.58/hour on spot — will serve google/gemma-4-E2B-it under vLLM at 1,496 output…
AI SPT TCH FR Frank Morales Aguilera · AI Simplified in Plain English The Unintended Masterpiece: How Google’s Gemma-4 Became the World’s First AGI Orchestrator Frank Morales Aguilera, BEng, MEng, SMIEEE
SPT MDA AI MI Minyang Chen Gemma-4–12B: Achieve Up to 2x Inference Speed Gains with Zero Hardware Cost via MTP I was impressed last week by Google’s release of the new Gemma model, which introduced multiple groundbreaking features and optimizations.
AI SPT TCH MI Michael Hannecke Four Inference Engines, One Box: When to Use Which on the DGX Spark A decision guide for vLLM, SGLang, llama.cpp, and TensorRT-LLM, running gemma-4-E4B-it in a container on NVIDIA DGX Spark
MED SPT AI TCH AN Ankit Singh Fine-Tuning MedGemma-4B for ICD-10 Diagnosis Coding: A Complete Journey from 0% to 88% Accuracy on… My journey to fine-tune Google’s medical AI model to predict ICD-10 diagnosis codes from clinical notes — using synthetic data, QLoRA, and…
AI SPT SI Siladittya Manna · The Owl Running MedGemma-4B on CPU or Using GGUF + llama-cpp Now, let’s assume you don’t have a powerful GPU.
