Kubernetes Mlops

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.

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.

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.

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

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

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.

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

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

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.

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.

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

Massed Compute delivers on‑demand GPU/CPU resources via API and desktop interface, supporting NVIDIA A100/H100/L40/A6000 GPUs and custom clusters. Bare‑metal servers provide direct physical access, while an Inventory API streamlines instance management in a Tier III data‑center with expert support.

LLMOps Space is a global community for LLM practitioners, offering curated content, discussion forums, event recordings, and resources on production deployment, fine‑tuning, observability, and search optimization, plus networking via Discord and newsletters.

Groq is an inference platform that uses custom LPU silicon for low‑latency, high‑throughput AI workloads. It supports large language and multimodal models via an OpenAI‑compatible API, with modular deployment and predictable performance for NLP, vision, and recommendation tasks.

Maxclaw is a cloud-hosted AI agent built on minimax m2.5, offering one‑click deployment, persistent long‑term memory (200k+ tokens), persona customization, messaging integrations (Telegram/Discord/Slack), and tooling for browsing, code execution, file analysis and automation.

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.

Portkey is an LLMOps platform offering a unified API and model catalog with observability, guardrails, RBAC, audit logs, prompt management, caching, routing and PII redaction to simplify multi-model integration, governance, monitoring, and cost optimization.

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.

LabEx delivers free, interactive labs for Linux, DevOps, and cybersecurity, organized into skill‑tree pathways. AI assistant Labby aids debugging, while online terminals and real‑world projects cover Docker, Kubernetes, Python, Java, Ansible, and more.

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

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.

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.

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.

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.

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.

Unsloth Studio is a no-code web UI enabling local training, running, and exporting of open AI models like Qwen3.5 and NVIDIA Nemotron 3, simplifying experimentation for users without extensive technical expertise.

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.

nOps is an AI-powered AWS Cloud management platform that automates cost allocation, optimization, tagging, and idle resource scheduling. It enhances efficiency and utilization through features like one-click migration, rightsizing, and offers valuable cloud cost optimization resources.

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.

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.

MindSpore is a comprehensive AI framework designed for algorithm engineers and data scientists, facilitating the development, deployment, and management of AI models across various platforms. Its key features include built-in support for distributed training and hardware optimization, ensuring scala

ModelsLab offers API‑based generative AI for image, video, audio, and language tasks, including editing, generation, and voice synthesis. It supports GPU server deployment, custom workflows, fine‑tuning, and LoRA adaptation for creators and developers.

LiteLLM is an open‑source gateway that unifies access to 100+ LLMs through a single OpenAI‑compatible API, enabling provider fallback, cost tracking, tag‑based budgeting, guardrails, observability, and on‑prem or cloud deployment with a lightweight SDK.

DeepSense.ai provides end‑to‑end AI solutions for enterprises, integrating large language models, retrieval‑augmented generation, MLOps, advanced computer‑vision, edge inference, and predictive analytics to deliver scalable, real‑time AI agents, co‑pilots, and maintenance optimization.

Roboflow streamlines computer‑vision projects by offering a low‑code pipeline for data annotation, GPU‑accelerated training, and multi‑environment deployment. It integrates with PyTorch, TensorFlow, Hugging Face, major clouds, and meets SOC2 Type 2 and HIPAA security.

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.

Mistral AI offers developers a platform for building cutting-edge generative AI models with a focus on performance and customization. Their models excel in reasoning tasks and benchmarks, providing flexible deployment options across infrastructures.

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.

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.

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.

SiliconFlow is an AI infrastructure platform enabling high-speed inference for LLMs and multimodal applications, supporting serverless, reserved, and private-cloud deployments. It offers low-latency processing, elastic compute, and built-in monitoring for scalable, cost-efficient AI workloads.

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.

Morphllmis a high-throughput AI code-editing platform that applies LLM-generated multi-file edits, automated diffs, and merges at 10,500+ tokens/sec via edit_file and MCP/OpenAI-compatible SDKs (TypeScript, Python) for editor, CI, and agent integration. It combines warp-grep/warpsearch semantic co

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

GPUX is a serverless inference platform that delivers 1‑second cold starts and GPU‑accelerated execution for models like Stable Diffusion XL, ESRGAN, and Whisper. It supports P2P and read‑write volume access for rapid, scalable deployment on NVIDIA RTX 4090 GPUs.

Juice virtualizes local GPUs over IP, intercepting CUDA, Vulkan, DirectX 12 calls so Python, Blender, Unreal Engine run on remote GPUs with minimal changes. It supports all NVIDIA cards, SLURM integration, and TLS 1.3 secure tunnels.

Trooper.AI provides private EU-hosted bare-metal GPU servers for model training, fine-tuning, and inference, with one-click AI environment templates, full root SSH and NVMe storage, tested CUDA on Ubuntu 22.04, scalable hardware and pause/upgrade controls.

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.

Pieces stores and organizes work‑related context—code, docs, chats—within familiar tools, creating OS‑level long‑term memory. It supports real‑time LLM context via local plugins, letting users keep data on‑device or sync to a chosen cloud, aiding continuity for teams.