Kubernetes For Ml

Substratus is an AI tool for building, training, and serving models. It offers prepackaged container images, remote notebooks, and fine-tuning capabilities. Powered by Kubernetes, it provides efficient orchestration of ML operations.

Milk Infrastructure is an AI-powered tool that simplifies the deployment, management, and scaling of production-grade Kubernetes environments without requiring DevOps expertise. It automates secure, compliant cluster creation and integrates easily with GitHub for continuous integration and deploymen

Shortcut Search Kubernetes streamlines the process of connecting with Kubernetes experts across various programming languages. It promotes collaboration, knowledge sharing, and ongoing learning through community discussions and a resource repository for enhanced DevOps efficiency.

k8studio is a Kubernetes management tool that features a graphical interface for cluster monitoring, Helm repository management, role-based access control, event tracking, and integrated configuration editing, streamlining operations for developers and system administrators.

Union.ai is an AI infrastructure tool that optimizes ML and data workloads through features like data lineage, versioning, observability, and caching. It streamlines resource usage within Kubernetes environments, boosting efficiency and cutting costs substantially.

Kea ML is an AI/ML development platform that streamlines processes using pre-configured environments, collaboration tools, and optimized resources. It provides access to popular data science tools, facilitates efficient model training in scalable cloud settings, and ensures smooth deployment.

K8sgpt is an AI-assisted tool for Kubernetes clusters. It simplifies issue diagnosis, health analysis, and security scanning using AI analyzers and Trivy. Key features include fast cluster triage, CNCF compatibility, and time-saving AI-powered backend for streamlined operations.

Modal is a high-performance cloud serverless platform tailored for AI and machine learning projects. Developers can effortlessly deploy functions without managing infrastructure, run generative AI models, large-scale batch jobs, and job queues with fast cold-start times and seamless scalability up t

Cerebrium is a comprehensive machine learning development, deployment, and monitoring platform with advanced features.

Scale your AI projects affordably with Salad's GPU Cloud service. Access over 10,000 GPUs for generative AI tasks like generating 9 million+ images in just 24 hours at a starting price of $0.02/hr. Salad offers fully managed services like the Salad Container Engine, Salad Gateway Service, and Virtua

ClearML is an end-to-end AI platform that enables developers and data scientists to build, train, and deploy machine learning models. It features collaborative experiment management, GPU orchestration, and robust data management for scalable AI workflows.

PostgresML bridges machine learning with PostgreSQL databases, offering in-database model building, training, and deployment. It simplifies ML/AI workflows and delivers superior performance over microservices with support for over 50 algorithms.

Automated Troubleshooting Kubernetes streamlines issue identification and resolution in Kubernetes environments, enhancing system reliability and reducing downtime. It optimizes workflows for DevOps teams, allowing them to focus on strategic tasks while minimizing manual troubleshooting efforts.

DoubleCloud's AI tool expedites construction of robust data analytics systems using managed services for ClickHouse®, Apache Kafka®, and Apache Airflow®. It simplifies data movement, visualization, and analytics for multiple industries, delivering hassle-free maintenance and lightning-fast performa

0ptikube is a real-time visualization tool for managing Kubernetes clusters. It offers customizable dashboards, resource monitoring, and AI-driven insights to identify bottlenecks, enhancing infrastructure optimization and simplifying complex operations for DevOps teams and system administrators.

Metaflow is an open-source framework for managing machine learning and data science projects, enabling easy workflow creation, local development, automated version tracking, efficient cloud resource utilization, and collaboration while ensuring compliance with data governance policies.

Unskript is an AI-powered Kubernetes health platform that proactively prevents issues with adaptive health checks and real-time generative AI diagnosis and remediation, trusted by top companies worldwide.

Heimdall is an AI platform facilitating smooth machine learning development without JS dependency. It features a complete environment for data scientists to create, deploy, and monitor diverse ML models - from custom classifications and regressions to NLP pipelines and image processing.

Flyte is an advanced AI orchestration tool that facilitates creation of ML & data pipelines. It provides smooth integration, scalability for dynamic workloads, and real-time resource management, streamlining workflow development for data experts with version 1.3.0.

Liner is a user-friendly tool for building and deploying machine learning applications with minimal effort.

Massed Compute is a cloud platform offering scalable GPU resources for tasks like VFX rendering, machine learning, and data analytics. It enables rapid deployment and supports various applications, ensuring efficient computing for organizations.

Klu is a platform that simplifies building and optimizing AI apps by integrating with leading language models, offering multiple programming languages, and providing automatic prompt engineering, model tuning, and data gathering for unique use cases.

FluidStack provides a cloud-based GPU service for AI and LLM training, enabling on-demand access to thousands of NVIDIA GPUs. It supports scaling for training and inference, while managing infrastructure and offering dedicated 24/7 support.

Google Cloud offers a robust suite of cloud computing services, including Vertex AI for managing AI applications, real-time data analytics, and secure container management with Google Kubernetes Engine, all supported by advanced security features.

Wizmodel simplifies deploying machine learning models with community pre-trained models, container packaging, scalable API servers, and easy monetization options. Effortlessly tap into AI capabilities without dealing with complex algorithms.

DataRobot is an MLOps platform that automates the training, versioning, and monitoring of machine learning models. It supports collaboration, integrates with various data sources, and offers performance analytics, aiding organizations in data-driven decision-making.

Thunder Compute is a cloud-based platform that provides easy access to network-attached GPUs for AI and machine learning projects. It enables swift model deployment, efficient scaling, and minimizes idle GPU costs through streamlined infrastructure management.

Inferless is a serverless platform for deploying machine learning models seamlessly. It offers automatic load balancing, custom runtime environments, and automated CI/CD workflows, minimizing infrastructure management while scaling efficiently from single to millions of requests.

Perpetual ML is a low-code/no-code machine learning suite that streamlines data processing, enabling quick actionable insights. It features fast training, continual learning, and conforms to various tasks, while integrating seamlessly with modern data warehouses for efficient model management.

LakeSail is an open-source computational framework that unifies stream and batch processing while handling compute-intensive AI workloads efficiently. It boasts processing speeds up to four times faster than traditional frameworks like Spark, with significant reductions in hardware costs and compreh

Efficient machine learning inference on-demand with lightning speed in the cloud.

Office Kube Workflow offers a pre-configured, browser-accessible workspace that automates repetitive tasks, enhances collaboration, and supports customization through additional apps, all built on secure, scalable Kubernetes principles for enterprise-grade productivity.

ML Clever is a no-code machine learning platform that enables users to build and deploy models effortlessly. Its AutoML capabilities, interactive dashboard, and support for custom pipelines facilitate data exploration and real-time predictions without technical expertise.

Botkube Fuse streamlines platform engineering operations by integrating tools into a single interface, automating tasks like secret management and CI/CD monitoring, detecting flaky tests, and facilitating quick troubleshooting and local debugging within the terminal.

MLflow is an open-source MLOps platform that manages the entire machine learning lifecycle, offering experiment tracking, model evaluation, and deployment capabilities. It supports integration with various tools and facilitates both traditional and deep learning workflows.

Simpl ML Sheet is a free Google Sheets add-on that simplifies machine learning with a user-friendly interface for data analysis, anomaly detection, and pattern discovery.