Kubernetes For Ml

K8Studio is a client‑side Kubernetes GUI that connects directly to cluster APIs, providing real‑time topology maps, AI‑assisted YAML editing, a unified security dashboard, multi‑cluster management, built‑in terminal execution, and no data collection for compliance.

Milk Infrastructure automates Kubernetes cluster deployment and lifecycle across cloud and on‑prem. It uses AI to generate minimal infra‑as‑code, supports CI/CD pipelines, auto‑scales, and meets SOC 2 compliance, delivering consistent, low‑friction DevOps.

Runpod supplies on‑demand GPUs in 31 regions, offering single‑node pods, multi‑node clusters, and serverless workloads. It delivers low‑latency inference, efficient fine‑tuning, instant scaling, S3‑compatible storage, real‑time logs, and sub‑200 ms cold starts.

ClearML AI Infrastructure Platform unifies GPU management, model development, and generative‑AI deployment across on‑prem, cloud, and hybrid setups, offering secure multi‑tenant provisioning, priority scheduling, fractional GPU allocation, integrated IDE, CI/CD, and streamlined workflows for data sc

K8sGPT is an AI‑driven Kubernetes troubleshooting assistant that analyzes cluster state, logs, and events, anonymizes data, and can auto‑remediate issues. It exposes Kubernetes operations via an MCP server for integration, and offers local diagnostics and CLI access.

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.

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.

8080.ai is an AI development platform for building, orchestrating, and scaling multi-agent workflows that automate project planning, task decomposition, and sprint tracking. It provides a production-ready microservices architecture with Kubernetes deployment, a browser-based VS Code editor, and fron

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

Office Kube delivers browser‑based cloud workspaces with preinstalled apps. Users automate tasks via pre‑built or IDE workflows, combine and share them across teams. Built on Kubernetes, it offers zero‑trust security, GitOps, automated backups, and embedded AI for docs, code, and troubleshooting.

Hal9 is an autonomous AI platform that builds, hosts, and scales AI‑powered products quickly. It generates MVPs for chatbots, agents, websites, mobile apps, and APIs using Python and open‑source libraries, with isolated Kubernetes pods for secure, private deployment.

Modal is a cloud‑native platform that lets developers run inference, training, batch jobs, sandboxes, and notebooks with sub‑second cold starts and instant autoscaling. It’s Python‑centric, offers elastic multi‑cloud GPU scaling, zero‑idle scaling, unified observability, and high‑throughput AI‑nativ

DeepSeek API, available via Kie.ai, provides access to DeepSeek models R1 and V3 for complex reasoning and natural language processing.

AI and data analytics platform delivering end‑to‑end solutions across multiple sectors. It accelerates experimentation to production, supports data engineering, MLOps, LLMOps, and digital engineering, integrating Databricks, Snowflake, and Google Cloud to shorten insight‑to‑action time and boost eff

Metaflow is an open‑source Python framework for building, managing, and deploying ML workflows. It supports local development, seamless cloud migration, automatic variable tracking, compute scaling, versioned workflow storage, and one‑click production rollout.

LM Studio runs open‑source large language models locally on Mac (M‑series), Windows, and Linux, enabling private, offline inference. It offers command‑line and headless deployment, server‑side API, SDKs, a model hub, and LM Link for remote model access.

Teachable Machine lets users build TensorFlow.js image, audio, or pose classifiers through a browser interface without coding. Collect, label, and train data in‑browser, evaluate accuracy, then export models to web, Node.js, Coral, or Arduino for rapid prototyping and educational projects.

Lightning AI is a PyTorch Lightning‑based cloud platform for training, deploying, and serving models at scale. It offers GPU workspaces, managed clusters, fractional pay‑as‑you‑go GPU capacity, inference APIs, serverless deployment, security, and integration with LitServe, LitGPT, and LLMs.

DataCamp provides interactive courses, hands-on projects, and role-based career and skill tracks for data science, ML, and AI. It covers Python, R, SQL, cloud platforms, LLMs, and MLOps, plus team analytics and customizable learning paths.

Kluster.ai provides real-time code review and verification in IDEs, offering instant feedback on AI-generated code. It detects vulnerabilities, logic errors, and performance issues, enhancing compliance and reducing manual review time for development teams.

Fluidstack offers dedicated GPU clusters on bare‑metal Atlas OS, delivering rapid provisioning and full resource control. Continuous monitoring via Lighthouse ensures isolated, compliant infrastructure (GDPR, SOC 2, ISO 27001) with a 15‑minute support SLA for AI labs, enterprises, and government use

MLflow is an open‑source AI engineering platform that tracks LLM and agent execution, monitors performance, cost, and safety, manages prompts, and supports experiment tracking, tuning, and deployment across multiple clouds or on‑premises.

Vast.ai supplies on‑demand GPU instances, including NVIDIA RTX, H100, and Blackwell models, deployable in seconds. Developers can programmatically provision resources via CLI, SDK or API, and scale workloads with autoscaling, serverless inference, and dedicated InfiniBand clusters.

Flyte is an open‑source Python‑based workflow platform for AI, ML, and data teams, providing self‑healing pipelines with dynamic retries, state recovery, Kubernetes autoscaling, and native integration with Spark, Ray, BigQuery, and more, enabling efficient inference and training.

Scale AI delivers a full‑stack generative‑AI platform that integrates enterprise data, supports fine‑tuning, RLHF, and model safety evaluation, and enables secure AI agent deployment with compliance‑certified cloud infrastructure for regulated and government use.

Kapsul is a decentralized storage software that offers adaptive data management, programmable storage, and multi-cloud support, prioritizing privacy and compliance across various industries for secure and scalable data handling.

Analyzr builds predictive models via a no‑code interface, integrating data from multiple sources. It supports clustering, propensity scoring, regression, and A/B testing, delivering transparent models through a secure API for rapid deployment and actionable insights.

UbiOps offers a unified interface to deploy AI models on local, hybrid, or multi‑cloud environments. It provides version control, API management, resource prioritization, automated scaling, GPU provisioning, and Kubernetes orchestration, aiding cost, security, and compliance for production workloads

paperclip is an open-source, self-hosted AI orchestration platform for creating and managing autonomous companies and agent teams—providing role-based hiring, goal-driven task delegation, budgeting, audit trails, multi-tenant deployment, extensible LLM integrations, and monitoring dashboards.

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.

Kubeha is a cloud-based automation tool that simplifies incident response by automating alert analysis and remediation. It enhances productivity, reduces alert fatigue, and integrates with monitoring systems, catering to both basic and advanced user needs.

Keebo is an AI-powered tool that enhances data storage and management through automated classification, seamless workflow integration, and real-time analysis, enabling efficient organization, collaboration, and informed decision-making for data-driven businesses.

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.

GPU Mart provides dedicated GPU server hosting and VPS solutions optimized for demanding AI workloads, including LLM inference, image generation, and 3D rendering, offering guaranteed resources and transparent pricing.

Float16.cloud delivers AI‑as‑a‑Service, platform, and infrastructure through instant, ready‑to‑use models accessed via a dashboard or API. It offers dedicated GPUs, 1‑second cold starts, Jupyter notebooks, credit‑based quotas, and dynamic scheduling for training, inference, and batch processing.

Tensordock provides cloud GPU services for AI workloads, featuring on-demand Nvidia H100, A100, and RTX 4090 GPUs. It supports rapid deployment, extensive documentation, and efficient management of virtual environments for diverse applications.

Cloud GPU rental platform offering on-demand VMs and bare-metal servers with A100/H100/RTX4090 and other GPUs, configurable vRAM/vCPU, persistent volumes, spot instances, and API-driven provisioning for training, inference, rendering, and HPC workloads.

kling3.io is a professional AI video generator that creates 1080p/4K footage with physics-accurate motion from text, images, or video. It features native audio sync, director-level camera controls, and exports for VFX pipelines.

Klu accelerates LLM app development by enabling collaborative prompt design, version control, and automated evaluation across multiple providers. It offers unified observability, cost and drift tracking, private infrastructure, continuous monitoring, and integration with 50+ tools for scalable AI de

Kore.ai Agent Platform delivers customizable AI agents for banking, healthcare, retail, and other industries. It includes multi‑agent orchestration, engineering tools, extensive data connectors, no‑code/pro‑code development, real‑time observability, secure governance, and deployable on AWS, Azure, o

Heimdall is a cloud‑based, no‑code platform that lets teams build, deploy, and monitor ML, forecasting, and data‑transformation models from CSV and major warehouses. It automates feature extraction, offers real‑time forecasting, and provides explainable dashboards for non‑technical users.

Maxkb is an open-source platform for building enterprise-grade agents that enhance interaction and information retrieval using retrieval-augmented generation. Its model-agnostic design supports various applications in customer service, knowledge management, research, and education.

Vocareum delivers labs with IDEs, notebooks, and GPU/CPU clusters in isolated containers or accounts. It offers tutoring, code grading, and a unified gateway to AWS, Azure, GCP, Databricks, and foundation models. LMS integration and SOC 2 compliance enable scalable training.

H2O.ai delivers an end‑to‑end AI platform that automates feature engineering, model selection, and explainability through AutoML, offers no‑code LLM training, supports enterprise multi‑model orchestration, and includes MLOps and a feature store, all compliant with strict data security standards.

Perpetual ML is a unified studio that integrates natively with Snowflake (and upcoming Databricks), keeps data in the warehouse, automates training, applies continual learning to cut costs, optimizes business objectives, tracks experiments, and deploys models with built‑in monitoring.

OpenLIT is an open‑source observability platform for large‑language‑model applications, offering distributed tracing, real‑time monitoring, model evaluation, prompt versioning, fleet telemetry, and a zero‑code Kubernetes operator to integrate with major LLM providers and vector databases.

Kling AI Motion Control turns a single static image into a realistic, physics‑based animated video. It automatically generates motion paths, applies dynamic effects, and outputs smooth, cinematic clips, supporting batch processing and custom parameters for marketers, designers, and creators.

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.

The Full Stack offers a complete AI lifecycle curriculum, covering prompt engineering, LLMOps, deep learning, GPU selection, model monitoring, ethics, and MLOps. It trains developers, product managers, and researchers to design, build, and deploy AI applications.

The AI tool offers serverless, scalable, and pay-as-you-go features with AI-generated SQL and HTAP functionalities through various sign-up options.