CLOUDFLARE OFFERS DEVELOPERS PLATFORM TO BUILD FULL-STACK AI APPLICATIONS
- news2u
- Oct 6, 2023
- 2 min read
KUALA LUMPUR, Sept 29 (Bernama) -- Cloudflare Inc, a connectivity cloud company, announced that developers can now build full-stack artificial intelligence (AI) applications on Cloudflare’s network.
According to a statement, Cloudflare introduces Workers AI for end-to-end infrastructure needed to scale and deploy AI models efficiently and affordably for the next era of AI applications.
“Workers AI will empower developers to build production-ready AI experiences efficiently and affordably, and in days, instead of what typically takes entire teams weeks or even months,” said Cloudflare chief executive officer and co-founder, Matthew Prince.
Cloudflare’s developer platform will provide the best end-to-end experience for developers building AI applications, enabling fast and affordable inference without the need to manage infrastructure.
As every business, from startups to enterprises, looks to augment their services with AI, Cloudflare’s platform is empowering developers with the velocity to ship a production-ready application quickly, with security, compliance and speed built in.
Workers AI is delivering a simple, affordable way for developers to run AI models on Cloudflare’s global network. Cloudflare will now provide access to GPUs running on Cloudflare’s massive global network to ensure AI inference can happen close to users for a low-latency end-user experience.
In addition, Cloudflare’s new vector database, Vectorize, enables developers to build full-stack AI applications entirely on Cloudflare. With Workers AI and Vectorize, developers no longer have to glue multiple pieces together to empower their apps with AI and machine learning whereby they can do it all on one platform.
Cloudflare is also introducing AI Gateway to make AI applications more reliable, observable and scalable, giving developers observability features to understand AI traffic like the number of requests, number of users, cost of running the app and duration of requests.
-- BERNAMA
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