https://qwak.com
JFrog ML - Your AI Platform. Built to Scale.
All you need to deliver production AI applications at speed, from the beginning to high-scale. Build, deploy, manage and monitor GenAI and LLMs to ML.
JFrog ML - Your AI Platform. Built to Scale. Your entire AI/ML lifecycle in a single platform. Watch Live! 🍿x Platform MLOpsBuild, train and deploy models at scaleLLMOpsDevelop LLM applications from idea to productionFeature StoreManage the entire feature lifecycle in one placeLive Demo🗓️ Oct. 30, 2024 at 11AM EDTLive: See JFrog ML in Action ->Resources BlogEvents & WebinarsCustomer StoriesDocumentationNew ReportDiscover the latest AI trends, insights, and innovations in 2024. Access the Report ->PricingLog inSchedule a DemoStart for Free MLOps Platform Built to Scale.Build ML.JFrog ML (formerly Qwak) gives you all you need to deliver AI applications at speed, from idea to high-scale. Build, deploy, manage and monitor all your AI workflows, from GenAI and LLMs to classic ML, in a single platform.Book a DemoLearn MoreChosen by the world’s best AI teamsUnified MLOps PlatformMLOpsLLMOpsFeature StoreMLOpsTrain and Deploy Any Model BuildingTrainingDeployingMonitoringBuild any modelCentralize model management from research to production, enabling team collaboration, CI/CD integration, and visibility into training parameters and metadata.Learn more->Easily train modelsTrain and fine-tune any model with one click on GPU or CPU machines, supporting all model types and enabling easy periodic retraining automation.Learn more->Deploy models at scaleDeploy models to production at any scale with one click, serving them as live API endpoints, executing batch inference on large datasets or as streaming model connected to Kafka streams, with multi-version deployments.Learn more->Monitor models in real timeMonitor model performance, detect data anomalies, track input data distribution shifts, and integrate with tools like Slack and PagerDuty for real-time health and performance tracking.Learn more->LLMOpsDevelop LLM Applications PromptsModel LibraryPrivate Preview WorkflowsTracingMonitoringManage prompts and track versionsManage prompts with a single registry, allowing prompt creation and deployment in production, team collaboration, experimentation, version tracking, and a dynamic prompt playground.Learn more->Deploy optimized LLMs in one clickThe Qwak LLM Model Library provides effortless deployment of optimized open-source models such as Llama 3, Mistral 7b, and more. Models can be deployed in just one click on your cloud or ours and automatically scale.Learn more->Build complex workflowsCreate and visualize complex LLM flows. Implement shadow prompts deployments to thoroughly test and refine them before rolling out your workflow into production.Learn more->Trace LLM requestsTrace and inspect any workflow for LLM applications with ease. View all requests in one place, gain complete visibility, and debug your LLM workflow in seconds. Track prompt content, model inference calls, and latency.Learn more->Monitor LLM applicationsMonitoring LLMs in production for optimal performance and reliability. Track metrics like response time and identify issues quickly. Integrate with tools like Slack and PagerDuty.Learn more->Feature StoreTransform Your Data Feature StoreData PipelinesVector StoreManage all featuresThe entire feature lifecycle managed in one feature store, allowing feature collaboration, ensuring consistency, and enhancing reliability in feature engineering and deployment.Learn more->Ingest data from any sourceIngest data from warehouses and multiple sources, process and transform features, store them in a feature store, and create features and build data pipelines with custom transformations across various data sources.Learn more->Store vectors at scaleStore embedding vectors at scale to supercharge your ML and AI applications by ingesting data from any source, converting it to embedding vectors, performing vector search, finding similarities for recommendation engines and RAG pipelines to enhance LLM applications.Learn more->“JFrog ML streamlines AI development from prototype to production, freeing us from infrastructure concerns and maximizing our focus on business value.”Edward Zhou,Software EngineerYour entire AI/ML lifecycle in a single MLOps platformScale your AI/ML workflows with ease, eliminating the hassle of managing multiple tools and systems for your AI deployments.Feature engineering & data pipelinesRemove the complexity of scalable feature engineering with the JFrog ML Feature Store & AI Platform in one. Gone are the days where you need high data loads to constantly update features and efficiently manage and scale data operations.Collaborate with all stakeholders in one placeA single platform for ML engineers, data scientists, product managers, and AI practitioners to work on all AI projects in perfect sync.Scalable model deploymentDeploy and fine-tune any model, including any embeddings models, open-source LLMs and more.Feature StoreUnify your feature store and AI platform into one.Consolidate your feature lifecycle effortsSeamlessly use features as model inputsTransform and persist your data in a single locationManage and track all data applications & costs in one platformLearn moreWe help customers optimize AI & ML models in productionEdward ZhouSoftware Engineer“JFrog ML streamlines AI development from prototype to production, freeing us from infrastructure concerns and maximizing our focus on business value.”Ryan RollingsPrincipal Machine Learning Engineer“We ditched our in-house platform for JFrog ML. I wish we had found them sooner.”Asi MessicaVP Data Science“The JFrog ML platform enabled us to deploy a complex recommendations solution within a remarkably short timeframe. JFrog ML is an exceptionally responsive partner, continually refining their solution.”Idan BenaunDirector of ML and Data Science“People ask me how I managed to deploy so many models while onboarding a new team within a year. My answer is: JFrog ML.”Filip GvardijanData Science Manager“With JFrog ML, our AI team efficiently manages and deploys various models, both batch and real-time. The addition of an observability and Vector DB layer has been a game-changer, allowing us to confidently bring 10 models into production. JFrog ML's robust and streamlined approach has significantly enhanced our operational efficiency.”Idan SchwartzHead of Research“Before JFrog ML, delivering a new AI model took weeks... Now the research team can work independently and deliver while keeping the engineering and product teams happy.”Or HiltchVP Engineering“Using JFrog ML allowed us to focus on creating value for customers rather than spending valuable time on our infrastructure setup.”Jonathan YanivHead of Data Science“Our data science teams deliver end-to-end AI model services. Building infrastructure, however, is not our business focus, making JFrog ML ideal for our needs.”Eyal SolnikHead of Data“With JFrog ML's intuitive AI Infra platform and AWS, we achieve operational efficiency and smarter personalized experiences. We get to make data-driven decisions impacting the customers and driving the company metrics.”Elad SilvasData Science Manager“With JFrog ML we were able to improve our AI delivery dramatically.”Shaked ZychlinksiHead of Recommendations Research“From the get go, it was clear that JFrog ML understood our needs and requirements. The simplicity of the implementation was impressive.”Elad WeissData Science Team Lead“We had the data and we solved the problem. JFrog ML allowed our data science teams to deliver the models into production with ease and efficiency.”Amiram Shachar VP & General Manager“JFrog ML helped us make a paradigm shift to our data science operations. We now deliver new models quickly and efficiently and with much less friction along the process.”See how our customers win with JFrog ML-> Get started with JFrog ML today.Access JFrog ML to see how the best ML engineering and data science teams deploy models in production. Say goodbye to complex MLOps and start delivering today.Book DemoLearn MoreYour AI Platform. Built to Scale.© 2024 JFrog ML. All rights reserved.Terms & ConditionsPrivacy NoticeCookie NoticeCookies SettingsPlatformMLOpsLLMOpsFeature StoreResourcesBlogCase StudiesDocumentationStay updated Follow us
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