Nvidia faces competition from startups developing specialised chips for AI inference as demand shifts from training large ...
Qdrant's $50M Series B and version 1.17 release make the case that agentic AI didn't simplify vector search — it scaled the ...
If you’re licensing your virtual SQL Servers by core, you may be missing out on a significant opportunity to reduce costs. By reviewing and potentially reducing the number of CPU cores allocated to ...
Abstract: Approximate membership query (AMQ) data structures can approximately determine whether an element exists in a given dataset. They are widely used in parallel and distributed systems (e.g., ...
I encountered an error when executing a query that uses the ollama_generate UDF within a parallel execution context in PostgreSQL. PostgreSQL attempts to execute this ...
Snowflake has thousands of enterprise customers who use the company's data and AI technologies. Though many issues with generative AI are solved, there is still lots of room for improvement. Two such ...
It seems like pivot table are sending several queries to the database (to compute totals) and those queries are being sent sequentially. This can lead to a huge loading time (if each query is lasting ...
Abstract: The growth in data volume poses a challenge to query processing. On the other hand, advancements in technology have made multicore CPUs available in many inexpensive servers. so parallel ...
ScaleOut Software, a leading provider of in-memory data grid software, announced a new query capability called “computational query” that combines Microsoft’s LINQ query with the company’s ...
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