vLLM vs LMDeploy vs SGLang — Which LLM Inference Toolkit Is Best?
Welcome to the latest edition of AI in 5 newsletter with Clarifai!
Every week we bring you new models, tools, and tips to build production-ready AI!
Here's a summary of what we will be covering this week: ??
Deploying LLMs with ease: vLLM, LMDeploy, and SGLang compared! ??
Looking to optimize and deploy large language models efficiently? Our latest blog dives into vLLM, LMDeploy, and SGLang, comparing their performance, ease of use, and scalability.?
Whether you're a researcher or an engineer, understanding these frameworks can help you choose the best fit for your project.?
What you’ll learn:
? Key differences between vLLM, LMDeploy, and SGLang
? Performance benchmarks and deployment strategies
? How to get started with Clarifai for seamless model hosting?
Log and monitor every platform activity ??
Transparency, security, and governance—all in one place.?Our new?Audit Logging?feature helps you monitor platform activities with?detailed logs?of every action taken.
? Who performed what activity?
??What changed?
??Did the operation succeed?
With?Teams & Logs, you can?track resource changes, troubleshoot failed operations, and meet compliance needs effortlessly.
From?user actions to model deployments, you get full visibility into your AI operations.
Learn more here?
Deploy AI workloads on GCP with Compute Orchestration!???
Compute Orchestration now supports?Google Cloud Platform (GCP).?
Public Preview customers can spin up?dedicated compute clusters?in GCP’s?us-east4 region, with more regions coming soon! Start optimizing your AI infrastructure today.?
Learn more & sign up for the public preview here!?
Benchmarking top vision language models (VLMs) for image classification? ???
What's the best Vision Language Model for image classification??
We benchmarked GPT-4o, Qwen2-VL-7B, MiniCPM-V, and others on an image classification task using a simple dataset — comparing their performance to our General Image Recognition model.?
Plus, learn how to use the Model Benchmark tool to evaluate models and gain insights into their strengths and weaknesses.
Tip of the Week: ??
Easily access code snippets for multiple API clients to try out DeepSeek-R1 distilled models.
You can get the code to integrate the model into your applications from the "Use Model" option at the top-right corner of the model page.
Code snippets are available for multiple API clients, including Python SDK, Python GRPC, JavaScript, Java, NodeJS, cURL, and PHP.
Try them out here.
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