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News FAUN.dev() Team
@devopslinks shared an update, 58 minutes ago
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2025 Internet Trends: Explosive AI Crawling Growth and the Rise of 30+ Tbps DDoS Attacks

In 2025, Internet growth was driven less by humans and more by AI, with AI crawling and user-triggered access surging while post-quantum encryption secured over half of human web traffic. Security risks intensified as record-breaking DDoS attacks topped 30 Tbps and government-imposed shutdowns accounted for nearly half of major global outages.

2025 Internet Trends: Explosive AI Crawling Growth and the Rise of 30+ Tbps DDoS Attacks
News FAUN.dev() Team
@kala shared an update, an hour ago
FAUN.dev()

Meta Acquires Autonomous AI Startup Manus for $3B

Manus AI

Meta has acquired Manus AI for $3 billion, integrating its autonomous AI agents into Meta's products. Manus will continue operations and expand services under Meta, excluding China due to the removal of Chinese ownership.

Manus AI
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@kala added a new tool Manus AI , 1 hour, 59 minutes ago.
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@laura_garcia shared a post, 2 hours ago
Software Developer, RELIANOID

What is Load Balancing in DigitalOcean? ⚖️

A quick 3-minute read on how traffic is distributed across Droplets to improve performance, scalability, and availability—and how RELIANOID enhances it with advanced monitoring, security, and flexibility. 👉 Smart traffic distribution. High availability. Seamless scaling. #LoadBalancing#DigitalOcean#..

Knowledge base Load Balancing in DigitalOcean  RELIANOID
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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 — 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.