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Story FAUN.dev() Team
@eon01 shared a post, 3ย hours ago
Founder, FAUN.dev

Announcing FAUN.sensei() โ€” Self-paced guides to grow fast โ€” even when tech moves faster.

Docker GitLab CI/CD Helm Kubernetes GitHub Copilot

After months of hard work, FAUN.sensei() is finally alive!

FAUN.sensei()
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@laura_garcia shared a post, 9ย hours ago
Software Developer, RELIANOID

๐ŸŒŸ ๐—ช๐—ฒโ€™๐—ฟ๐—ฒ ๐—›๐—ถ๐—ฟ๐—ถ๐—ป๐—ด! ๐—๐—ผ๐—ถ๐—ป ๐˜๐—ต๐—ฒ ๐—ฅ๐—˜๐—Ÿ๐—œ๐—”๐—ก๐—ข๐—œ๐—— ๐—ง๐—ฒ๐—ฎ๐—บ ๐ŸŒŸ

Are you passionate about technology, networking, and innovation? At RELIANOID, weโ€™re building cutting-edge solutions that power secure, scalable, and reliable infrastructures โ€” and weโ€™re looking for talented people to join us on this journey! ๐Ÿš€ Whether youโ€™re an experienced professional or just star..

careers RELIANOID hiring
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vLLM is an advanced open-source framework for serving and running large language models efficiently at scale. Developed by researchers and engineers from UC Berkeley and adopted widely across the AI industry, vLLM focuses on optimizing inference performance through its innovative PagedAttention mechanism โ€” a memory management system that enables near-zero waste in GPU memory utilization. It supports model parallelism, continuous batching, tensor parallelism, and dynamic batching across GPUs, making it ideal for real-world deployment of foundation models. vLLM integrates seamlessly with Hugging Face Transformers, OpenAI-compatible APIs, and popular orchestration tools like Ray Serve and Kubernetes. Its design allows developers and enterprises to host LLMs with reduced latency, lower hardware costs, and increased throughput, powering everything from chatbots to enterprise-scale AI services.