SGLang vs Cloudflare — Comparison

SGLang

SGLang is a high-performance serving framework for large language models and multimodal models. - sgl-project/sglang

SGLang is a high-performance serving framework for large language models and multimodal models. It is designed to deliver low-latency and high-throughput inference across a wide range of setups, from a single GPU to large distributed clusters. Its core features include: SGLang has been deployed at large scale, generating trillions of tokens in production each day. It is trusted and adopted by a wide range of leading enterprises and institutions, including xAI, AMD, NVIDIA, Intel, LinkedIn, Cursor, Oracle Cloud, Google Cloud, Microsoft Azure, AWS, Atlas Cloud, Voltage Park, Nebius, DataCrunch, Novita, InnoMatrix, MIT, UCLA, the University of Washington, Stanford, UC Berkeley, Tsinghua University, Jam Tea Studios, Baseten, and other major technology organizations. As an open-source LLM inference engine, SGLang has become the de facto industry standard, with deployments running on over 400,000 GPUs worldwide. SGLang is currently hosted under the non-profit open-source organization LMSYS. For enterprises interested in adopting or deploying SGLang at scale, including technical consulting, sponsorship opportunities, or partnership inquiries, please contact us at sglang@lmsys.org. Long-term active SGLang contributors are eligible for coding agent sponsorship, such as Cursor, Claude Code, or OpenAI Codex. Email sglang@lmsys.org with your most important commits or pull requests. SGLang is a high-performance serving framework for large language models and multimodal models. There was an error while loading. Please reload this page. There was an error while loading. Please reload this page. There was an error while loading. Please reload this page. There was an error while loading. Please reload this page.

Cloudflare

Make employees, applications and networks faster and more secure everywhere, while reducing complexity and cost.

Based on the social mentions provided, users view Cloudflare primarily as a reliable infrastructure platform for hosting AI and development projects. Developers frequently mention using Cloudflare's services (R2 storage, D1 database, Workers, KV cache) alongside other platforms like Vercel and Supabase for deploying AI-powered applications and websites. Users appreciate Cloudflare as a cost-effective hosting alternative, with one developer specifically noting it as a free option compared to expensive services like Squarespace. The platform appears to have strong developer mindshare in the AI/ML community, being consistently chosen for backend infrastructure in various coding projects and experiments.

SGLang

Cloudflare

SGLang

Cloudflare

SGLang

Cloudflare