ServerlessLLM架构图 随着大型语言模型(LLMs)在编程助手、搜索引擎和对话机器人等在线应用中的广泛应用,对这些模型的服务需求急剧增加。然而,对GPU资源的巨大消耗使得部署面临挑战。为了支持用户对GPU的按需使用,云服务提供商转向Serverless LLM Inference模式,例如亚马逊SageMaker等平台。尽管这种模式在成本方面具有优势,但它...
论文背景&动机: 众所周知LLM参数规模巨大,小团队和个人很难负担得起运行大模型的硬件成本。因此,无服务器的大模型推理引擎成为了现代大模型部署的主流,说人话就是买不起就租别人的,你只负责把任务扔上去,云管理中心或者无服务器管理者负责调度和执行并把结果返回给你。但是呢,这种方法每次都要根据用户的需求从网上...
Medusa: Accelerating Serverless LLM Inference with MaterializationThis repository contains the source code and scripts for reproducing the experimental results of Medusa (ASPLOS'25). Medusa aims to reduce the cold-start latency of serverless LLM inference through state materialization.This...
[Hardware][Intel GPU] Add Intel GPU(XPU) inference backend (vllm-proj… Jun 18, 2024 LICENSE Add Apache-2.0 license (vllm-project#102) May 15, 2023 MANIFEST.in [BugFix] Include target-device specific requirements.txt in sdist (vl… ...
https://help.aliyun.com/zh/ack/ack-managed-and-ack-dedicated/user-guide/deploy-a-vllm-inference-application-based-on-knative [2]What Is Agentic AI? https://blogs.nvidia.com/blog/what-is-agentic-ai/ 我们是阿里巴巴云计算和大数据技术幕后的核心技术输出者。
Hugging Face has launched the integration of four serverless inference providers Fal, Replicate, SambaNova, and Together AI, directly into its model pages. These providers are also integrated into Hugging Face's client SDKs for JavaScript and Python, allowing users to run inference on various models...
We'll train you to scale your Gen AI workload and create a software-as-a-service (SaaS) serverless platform. We'll use NIMs of an open-source LLM, scaling it using open-source technologies like Kubernetes, Ray, and KServe, and we'll demonstrate the usage of NVCF. We'll ...
Support for 50+ LLMs OpenAI, Anthropic, Google, Mistral, Llama, Together, Fireworks — any LLM with a standard API design. Open PipesJust like a GitHub repo can be open-source, a Langbase pipe can become an open-pipe. Zero inference cost via global semantic CDN caching. Collaborate on ...
Inference with pre-built Machine Learning Models or Large Language Models (LLMs) Pre-processing or summarisation of data at the edge without incurring ingress/egress costs A local API or appliance for a customer to use locally, or connected to the cloud ...
This paper presents ServerlessLLM, a distributed system designed to support low-latency serverless inference for Large Language Models (LLMs). By harnessing the substantial near-GPU storage and memory capacities of inference servers, ServerlessLLM achieves effective local checkpoint storage, minimizing the...