Mlops

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

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.

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.

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

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.

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.

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.

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.

Lopus Probe integrates sales, marketing, and product data for real-time GTM analytics, helping RevOps teams identify churn risks, enhance revenue forecasting, and simplify query management while providing timely insights without extensive BI requests.

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.

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.

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

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.

ML Blocks is a no‑code platform that lets users build end‑to‑end image workflows. Drag‑and‑drop combines generation, editing, and AI analysis with models like Stable Diffusion, enabling rapid deployment for designers, marketers, and data scientists.

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.

Cerebras provides a wafer-scale AI accelerator and software stack that enables single-node training of very large LLMs, high-throughput low-latency inference (GLM-4.6 at 1,000 TPS), PyTorch SDK, deployment options, and MLOps tooling.

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.

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.

LLMWare AI installs a lightweight client on PCs, providing instant access to 100+ AI models optimized for Intel and Qualcomm hardware. It supports RAG, auto‑tunes weights, runs locally without Wi‑Fi, and offers an admin console for monitoring, scaling, and audit logs.

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

LastMile AI is a platform that perceives, remembers, and reasons from vision, speech, and text using LLMs as CPU and context as RAM. It connects to tools, automates workflows, anticipates needs, and surfaces actionable insights for teams and organizations.

MoAIJobs aggregates daily AI, ML, and data science job listings, offering filters by role, skills, location, and work style, salary ranges, remote options, and company insights. Users can apply directly through linked company career pages.

EvalsOne is an evaluation platform for developers and researchers to assess LLM prompts, RAG, and agents using rule‑based or LLM‑based methods, human judgment, and customizable evaluators. It supports multiple APIs and integrates with major AI frameworks.

Magma is an AI tutor that provides personalized learning paths to help learners achieve their goals.

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.

365mvps is a powerful AI tool that helps entrepreneurs, indiehackers and developers generate minimum viable product (MVP) ideas. With its community-driven approach, the tool allows users to come up with MVP ideas based on pain points, general themes, and problem descriptions. 365mvps is an excellent

Apx Machine Learning is a platform for creating and deploying machine learning models, featuring AutoML for automating model processes and free courses on key data science topics. It also plans to introduce LangML for custom language model deployment.

Dify is an open‑source, drag‑and‑drop platform that lets teams build agentic workflows and RAG pipelines without code, supports multiple LLMs and external data sources, offers observability, modular API integrations, and can serve as an MLP server.

Falcon is an open‑source LLM family by the Technology Innovation Institute, spanning 0.09‑180 B parameters. It offers efficient Falcon‑H1 series, Arabic variants, multimodal Falcon‑3, and Falcon‑Mamba 7B, all under permissive licenses.

SkillOps is an AI-driven skill management platform that offers skill gap analysis, centralized skill matrices, and real-time capacity planning, helping organizations optimize workforce allocation, make informed hiring decisions, and improve operational efficiency.

aiLaMo delivers a free, modular AI learning platform with research‑based lessons covering fundamentals, application, problem‑solving, and ethics. Gamified progress earns points, while adaptive content and mobile access enable personalized study for students, professionals, and educators.

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.

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.

Copyleaks delivers AI text and image detection, plagiarism checking, grammar correction, and text moderation in 30+ languages. It integrates via API, LMS, browser extensions, and Google Docs, supports major LLMs, and ensures secure, compliant workflows for education and enterprise.

llmarena.ai offers side-by-side LLM comparisons across major providers, showing specs like context window, output capacity, modality and routing options. Filters and role-based categories help developers, ML engineers, product managers and researchers select suitable models.

Llama is a local AI tool that enables users to create customizable and efficient language models without relying on cloud-based platforms, available for download on MacOS, Windows, and Linux.

LLMStack is an open‑source platform that lets developers build AI agents and workflows without coding, supports multiple model providers, imports data from web, PDFs, audio, cloud services, and offers a collaborative React UI with granular permissions.

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

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.

LLMChess lets users play White against a GPT‑driven engine (GPT‑3.5‑Turbo or GPT‑4) with start/stop controls and a log pane. It offers un‑rated, platform‑rated, and FOA‑rated games, tournaments, and training tools like puzzles and post‑game analysis.

Marlee is an AI platform that measures up to 48 work motivations with high reliability, delivering insights that personalize communication, boost teamwork, reduce conflict, and improve productivity. It also streamlines hiring, onboarding, and career alignment.

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.

MolyPix.AI generates posters, logos, and social media graphics from a single sentence prompt using models like Gemini, GPT, FLUX, and Seedream. It produces fully editable, layered files, supports remixing, brand kits, and commercial distribution rights.

dreamlook.ai offers fast, online training and generation for Stable Diffusion 1.5 and SDXL, supporting 1,500 SDXL steps in ~10 min, LoRA extraction, Offset Noise, ControlNet pose control, and a GPU‑free API.

ZenMux offers a unified API and single account gateway for multimodal AI models (text, image, audio, video), with OpenAI/Anthropic/Vertex compatibility, model auto‑routing, automated failure compensation and benchmarks, plus enterprise failover, tracing, and observability.

LEAi converts documents, presentations, webpages, and video into structured courses, auto‑generating objectives, instructional text, assessments, and interactive elements. It exports to SCORM, xAPI, PowerPoint, Google Slides, ePub, and supports collaborative version control and rapid content updates

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

Nebius AI Studio offers efficient model deployment with hosted open-source models, ultra-low latency, and scalable processing options. It simplifies AI model exploration through an intuitive interface while ensuring verified quality and performance for diverse applications.

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