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Tools/SGLang vs Baseten
SGLang

SGLang

infrastructure
vs
Baseten

Baseten

infrastructure

SGLang vs Baseten — Comparison

Overview
What each tool does and who it's for

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.

Baseten

Serve and scale open-source and custom AI models on the fastest, most reliable inference platform.

Based on the provided information, I cannot offer a meaningful summary of user opinions about Baseten. The social mentions only show generic YouTube titles "Baseten AI: Baseten AI" without any actual review content or user feedback, and no detailed reviews were provided. To give you an accurate assessment of user sentiment regarding Baseten's strengths, complaints, pricing, and reputation, I would need access to actual user reviews, comments, or more substantive social media discussions about the platform.

Key Metrics
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Avg Rating
—
0
Mentions (30d)
0
—
GitHub Stars
1,131
—
GitHub Forks
96
—
npm Downloads/wk
—
—
PyPI Downloads/mo
—
Community Sentiment
How developers feel about each tool based on mentions and reviews

SGLang

0% positive100% neutral0% negative

Baseten

0% positive100% neutral0% negative
Pricing

SGLang

subscription + tiered

Baseten

subscription + tieredFree tier

Pricing found: $0, $0.30, $0.75, $0.30, $1.20

Features

Only in SGLang (8)

TopicsResourcesLicenseUh oh!StarsWatchersForksFooter navigation

Only in Baseten (6)

Rapid image generationOptimized transcriptionSOTA text-to-speechPerformant LLM runtimesThe fastest embeddingsUltra-low-latency compound AI
Developer Ecosystem
—
GitHub Repos
89
—
GitHub Followers
283
20
npm Packages
18
—
HuggingFace Models
—
—
SO Reputation
—
Product Screenshots

SGLang

SGLang screenshot 1

Baseten

Baseten screenshot 1
Company Intel
information technology & services
Industry
information technology & services
6,000
Employees
180
$7.9B
Funding
$585.0M
Other
Stage
Venture (Round not Specified)
Supported Languages & Categories

SGLang

AI/MLFinTechDevOpsSecurityDeveloper Tools

Baseten

AI/MLDevOpsSecurityDeveloper Tools
View SGLang Profile View Baseten Profile