Tag: memory consumption
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Docker: Docker Desktop 4.44: Smarter AI Modeling, Platform Stability, and Streamlined Kubernetes Workflows
Source URL: https://www.docker.com/blog/docker-desktop-4-44/ Source: Docker Title: Docker Desktop 4.44: Smarter AI Modeling, Platform Stability, and Streamlined Kubernetes Workflows Feedly Summary: In Docker Desktop 4.44, we’ve focused on delivering enhanced reliability, tighter AI modeling controls, and simplified tool integrations so you can build on your terms. Docker Model Runner Enhancements Inspectable Model Runner Workflows Now you…
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Anchore: Time to Take Another Look at Grype: A Year of Major Improvements
Source URL: https://anchore.com/blog/time-to-take-another-look-at-grype-a-year-of-major-improvements/ Source: Anchore Title: Time to Take Another Look at Grype: A Year of Major Improvements Feedly Summary: If you last tried Grype a year ago and haven’t checked back recently, you’re in for some pleasant surprises. The past twelve months have significantly improved the accuracy and performance of our open source vulnerability…
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The Cloudflare Blog: Containers are available in public beta for simple, global, and programmable compute
Source URL: https://blog.cloudflare.com/containers-are-available-in-public-beta-for-simple-global-and-programmable/ Source: The Cloudflare Blog Title: Containers are available in public beta for simple, global, and programmable compute Feedly Summary: Cloudflare Containers are now available in public beta. Deploy simple, global, and programmable containers alongside your Workers. AI Summary and Description: Yes Summary: Cloudflare has introduced a beta version of Containers for its…
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Hacker News: Bringing K/V context quantisation to Ollama
Source URL: https://smcleod.net/2024/12/bringing-k/v-context-quantisation-to-ollama/ Source: Hacker News Title: Bringing K/V context quantisation to Ollama Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses K/V context cache quantisation in the Ollama platform, a significant enhancement that allows for the use of larger AI models with reduced VRAM requirements. This innovation is valuable for professionals…