Stop burning expensive GPU VRAM on text embeddings! 🚨Embedding models do NOT require $3,000 GPUs.The SRE RAG FinOps Blueprint:• Decouple Infrastructure: Save GPUs for LLMs; run embeddings on CPUs.• ONNX & AVX-512: Sub-20ms CPU vector generation.• HF TEI vs Ollama: TEI gives ~20ms vs Ollama's 99ms (5x speedup).• Matryoshka Truncation: Cut pgvector RAM by 6x (3,072D to 256D).• QInt8 Quantization: 3x faster CPU matrix math.https://www.servermo.com/howto/cpu-inference-embeddings-rag/#RAG #AI #FinOps #DevOps #SRE #ServerMO
Stop burning expensive GPU VRAM on text embeddings! 🚨Embedding models do NOT require $3,000 GPUs.The SRE RAG FinOps Blue...
