#vector-databases tag

What are the storage requirements for AI training and inference? | Computer Weekly

Despite ongoing speculation around an investment bubble that may be set to burst, artificial intelligence (AI) technology is here to stay. And while an over-inflated market may exist at the level of the suppliers, AI is well-developed and has a firm foothold among organisations of all sizes. But AI workloads place specific demands on IT infrastructure and on storage in particular. Data volumes can start big and then balloon, in particular during training phases as data is vectorised and checkpoints are created.

Artificial intelligence

Tech industry

fromComputerWeekly.com

1 month ago

Forget training, find your killer apps during AI inference | Computer Weekly

Most organizations will not train AI models in-house; they will focus on production inference, fine-tuning, data curation using RAG, vector databases, prompts, and co-pilots.

Data science

fromInfoWorld

1 month ago

MongoDB adds vector search to self-managed editions to power generative AI apps

Specialty vector databases add user-friendly features while traditional providers add vector capabilities; companies prioritize flagship managed services and release vector search in public preview.

Artificial intelligence

fromTechCrunch

2 months ago

Edo Liberty explores the missing link in enterprise AI at Disrupt 2025 | TechCrunch

The next AI frontier prioritizes smarter search and retrieval-augmented generation, leveraging vector databases and high-performance infrastructure over bigger models.

#aws

fromInfoQ

3 months ago