All Updates

All Updates

icon
Filter
Product updates
Pinecone Serverless launches publicly after successful beta phase
Serverless Computing
May 21, 2024
This week:
Funding
Matr Foods raises EUR 20 million in debt funding to build mycelium meat factory
Plant-based Meat
Today
Last week:
M&A
Platform Science to acquire Trimble's global transportation telematics business units
Truck Industry Tech
Yesterday
Funding
Whatfix raises USD 100 million in Series E funding to expand business
EdTech: Corporate Learning
Yesterday
Product updates
Sky Mavis launches cross-game onboarding solution
Web3 Ecosystem
Sep 14, 2024
Funding
Bicara Therapeutics raises USD 315 million in IPO; plans to develop lead candidate ficerafusp alfa
Precision Medicine
Sep 13, 2024
Partnerships
Massive Bio and Foundation Medicine partner to improve cancer clinical trial enrollment
Precision Medicine
Sep 13, 2024
Partnerships
Moffitt Cancer Center partners with AstraZeneca to advance oncology cell therapies
Cell & Gene Therapy
Sep 13, 2024
Product updates
Quandela launches European quantum computer in North America
Quantum Computing
Sep 13, 2024
Partnerships
IonQ achieves high qubit gate fidelity on barium development platform
Quantum Computing
Sep 13, 2024
Partnerships
Massive Bio and Foundation Medicine partner to improve cancer clinical trial enrollment
Clinical Trial Technology
Sep 13, 2024
Serverless Computing

Serverless Computing

May 21, 2024

Pinecone Serverless launches publicly after successful beta phase

Product updates

  • Pinecone, a serverless vector database provider, has made its new product, Pinecone Serverless, available to the public. It was initially released in Public Preview mode in January 2024 .

  • Over 20,000 organizations have used the product in the beta stage. Select customers, including Gong, Help Scout, New Relic, Notion, TaskUs, and You.com, are already running large, critical workloads with billions of vectors.

  • Analyst QuickTake: Pinecone Serverless is a serverless vector database designed for production deployments, enabling complex AI applications while reducing costs by up to 10x–100x by decoupling storage and computation and charging only for CPU time. It features advanced indexing, retrieval algorithms, and a multi-tenant compute layer, integrating with services like Anthropic and Vercel. Its key functions include vector search, RAG, knowledge extraction, and context generation, with "Private Endpoints" for secure connections to Amazon's virtual private clouds.

Contact us

Gain access to all industry hubs, market maps, research tools, and more
Get a demo
arrow
menuarrow

By using this site, you agree to allow SPEEDA Edge and our partners to use cookies for analytics and personalization. Visit our privacy policy for more information about our data collection practices.