ARM + VectorChord: Affordable, Fast Vector Search
ARM64 is quietly becoming a go-to for cost-effective cloud servers, especially on AWS. With ARM-based processors like the Graviton series (Graviton3 and Graviton4), you can save a good chunk of money without sacrificing performance. These ARM64 instances are way more affordable than traditional x86 ones, making them a solid choice for balancing cost and performance in the cloud.
That said, ARM’s architecture differs from x86, so software that isn’t optimized for it might run slower due to emulation. This is where VectorChord steps in—a PostgreSQL extension designed for scalable, high-performance, and disk-efficient vector similarity search. As the successor to pgvecto.rs, VectorChord lets you store a whopping 400,000 vectors for just $1, delivering massive savings: 6x more vectors than Pinecone's optimized storage and 26x more than pgvector / pgvecto.rs for the same price.
By leveraging platform-specific features like AVX-512 on x86_64 and SVE on ARM64, VectorChord ensures efficient vector search performance across different systems. Whether you're on ARM64 or x86, VectorChord keeps things running smoothly, making it a reliable and versatile solution for modern computing environments. In short, ARM64 is a great option for saving money, and VectorChord is here to make sure your vector search is fast, efficient, and budget-friendly.
