Best AI tools for< Optimize Infrastructure >

The website provides a platform for Full-Stack Cloud Observability with a focus on Middleware. It offers comprehensive monitoring and analysis tools for cloud-based applications, enabling users to gain insights into the performance and health of their middleware components. The platform supports real-time data collection, visualization, and alerting to help users optimize their cloud infrastructure and ensure seamless operation.

Seldon is an MLOps platform that helps enterprises deploy, monitor, and manage machine learning models at scale. It provides a range of features to help organizations accelerate model deployment, optimize infrastructure resource allocation, and manage models and risk. Seldon is trusted by the world's leading MLOps teams and has been used to install and manage over 10 million ML models. With Seldon, organizations can reduce deployment time from months to minutes, increase efficiency, and reduce infrastructure and cloud costs.

ZENfra.ai is an AI-powered platform that offers innovative solutions for InfraOps, SecOps, FinOps, and more. It provides cutting-edge technologies and industry expertise to help organizations achieve unparalleled success in the digital landscape. The platform features solutions for cybersecurity risk management, financial management, IT infrastructure oversight, migration insights, and observability. ZENfra.ai is committed to excellence, providing comprehensive services to transform the way businesses operate, secure, and optimize their digital assets.

EdrawMax Online is an all-in-one diagram maker and software product that offers a wide range of tools for creating various types of diagrams, such as flowcharts, mind maps, org charts, Gantt charts, and more. The application harnesses the power of AI to provide features like AI diagramming, AI chat, AI drawing, AI analysis, AI copywriting, and AI OCR. It enables users to plan, visualize, and collaborate effectively, offering over 210 diagram types, cloud-based teamwork collaboration, a vast template library, and seamless sharing options. EdrawMax Online is a versatile and powerful drawing tool suitable for individuals and organizations, providing professional solutions for various industries.

Pixis is a codeless AI infrastructure designed for growth marketing, offering purpose-built AI solutions to scale demand generation. The platform leverages transparent AI infrastructure to optimize campaign results across platforms, with features such as targeting AI, creative AI, and performance AI. Pixis helps reduce customer acquisition cost, generate creative assets quickly, refine audience targeting, and deliver contextual communication in real-time. The platform also provides an AI savings calculator to estimate the returns from leveraging its codeless AI infrastructure for marketing. With success stories showcasing significant improvements in various marketing metrics, Pixis aims to empower businesses to unlock the capabilities of AI for enhanced performance and results.

Granica AI is a Training Data Platform designed to make data safe for use with AI while keeping it cost-efficient. It offers state-of-the-art accuracy, cost-efficient data optimization, data visibility insights, and cloud cost savings. The platform helps in protecting data privacy, optimizing data costs, and gaining data visibility for AI teams to achieve big results while minimizing privacy risk.

Union.ai is an infrastructure platform designed for AI, ML, and data workloads. It offers a scalable MLOps platform that optimizes resources, reduces costs, and fosters collaboration among team members. Union.ai provides features such as declarative infrastructure, data lineage tracking, accelerated datasets, and more to streamline AI orchestration on Kubernetes. It aims to simplify the management of AI, ML, and data workflows in production environments by addressing complexities and offering cost-effective strategies.

LogicMonitor is a cloud-based infrastructure monitoring platform that provides real-time insights and automation for comprehensive, seamless monitoring with agentless architecture. It offers a wide range of features including infrastructure monitoring, network monitoring, server monitoring, remote monitoring, virtual machine monitoring, SD-WAN monitoring, database monitoring, storage monitoring, configuration monitoring, cloud monitoring, container monitoring, AWS Monitoring, GCP Monitoring, Azure Monitoring, digital experience SaaS monitoring, website monitoring, APM, AIOPS, Dexda Integrations, security dashboards, and platform demo logs. LogicMonitor's AI-driven hybrid observability helps organizations simplify complex IT ecosystems, accelerate incident response, and thrive in the digital landscape.

Nebius AI is an AI-centric cloud platform designed to handle intensive workloads efficiently. It offers a range of advanced features to support various AI applications and projects. The platform ensures high performance and security for users, enabling them to leverage AI technology effectively in their work. With Nebius AI, users can access cutting-edge AI tools and resources to enhance their projects and streamline their workflows.

Cerebium is a serverless AI infrastructure platform that allows teams to build, test, and deploy AI applications quickly and efficiently. With a focus on speed, performance, and cost optimization, Cerebium offers a range of features and tools to simplify the development and deployment of AI projects. The platform ensures high reliability, security, and compliance while providing real-time logging, cost tracking, and observability tools. Cerebium also offers GPU variety and effortless autoscaling to meet the diverse needs of developers and businesses.

AngelList is a platform that provides tools and services for fund managers, venture and private equity investors, and startups. It offers a range of services such as full-service funds, rolling funds, syndicates, and equity management. AngelList aims to streamline fund management processes, attract investors, engage stakeholders, and optimize portfolio performance. With a focus on innovation and partnership, AngelList serves as a comprehensive solution for various players in the investment ecosystem.

Algolia is an AI search tool that provides users with the results they need to see, category and collection pages built by AI, recommendations throughout the user journey, data-enhanced customer experiences through the Merchandising Studio, and insights in one dashboard with Analytics. It offers pre-built UI components for custom journeys and integrates with platforms like Adobe Commerce, BigCommerce, Commercetools, Salesforce CC, and Shopify. Algolia is trusted by various industries such as retail, e-commerce, B2B e-commerce, marketplaces, and media. It is known for its ease of use, speed, scalability, and ability to handle a high volume of queries.

Markopolo is an e-commerce growth platform that helps businesses increase sales, improve ad efficiency, and enhance marketing outcomes. It offers a range of solutions for agencies, e-commerce businesses, and enterprises, including data unification, analytics, ad optimization, and reporting. Markopolo leverages AI to provide precise targeting, optimization, advanced attribution, and seamless automation, enabling businesses to maximize their marketing ROI.

Videograph is an AI-powered video platform that offers a wide range of video APIs for live and on-demand video streaming. It provides advanced features such as video encoding, live streaming, monetization, content distribution analytics, and portrait conversion. With seamless organization through Digital Asset Management, Videograph enables users to transcode videos in 4K, archive with low-res preview, tag content, and utilize Dolby Vision and Dolby Audio technologies. The AI cropping tool automatically converts landscape videos to portrait ratio for social media. Elevate broadcasts with low-latency live streams, real-time analytics, and Server-Side Ad Insertion for monetization. The platform also offers insights on partner-wise analytics, EPG programs, and ad performance trends. Videograph's plug-and-play APIs support video ingestion, processing, and delivery, enhancing the streaming experience with subtitles, thumbnails, and more.

Moreh is an AI platform that aims to make hyperscale AI infrastructure more accessible for scaling any AI model and application. It provides a full-stack infrastructure software from PyTorch to GPUs for the LLM era, enabling users to train large language models efficiently and effectively.

Retrocausal is an AI Copilot platform designed to optimize manufacturing processes by leveraging computer vision and machine learning technology. It empowers operators, industrial engineers, and plant managers to enhance the quality, productivity, and traceability of manual processes. The platform offers features such as real-time feedback, analytics, time studies, automatic line balancing, continuous improvement suggestions, ergonomic analyses, quality planning, and more. Retrocausal ensures worker privacy through facial blurring and pixelation, integrates with existing IT and IIoT infrastructure, and is known for its security measures. The platform is widely recognized in the manufacturing industry for its innovative solutions and has received accolades from industry leaders.

vHive is an autonomous digital twin software that enables users to create a digitized portfolio of global enterprise assets. The platform offers advanced AI analytics and insights to maximize revenue and facilitate exponential growth. With vHive, users can improve operational efficiency, rapidly digitize assets worldwide, ensure security and compliance, and scale their asset portfolio through end-to-end automation. Trusted by leading enterprises, vHive provides a user-friendly platform for collecting data and insights across various use cases, ultimately driving organizational efficiency and innovation.

Dynatrace is a modern cloud platform that offers unified observability and security solutions to simplify cloud complexity and drive innovation. Powered by causal AI, Dynatrace provides analytics and automation capabilities to help businesses monitor and secure their full stack, solve digital challenges, and make better business decisions in real-time. Trusted by thousands of global brands, Dynatrace empowers teams to deliver flawless digital experiences, drive intelligent cloud ecosystem automations, and solve any use-case with custom solutions.

Codimite is an AI-assisted offshore development services solution that specializes in Web2 to Web3 communication. They offer PWA solutions, cloud modernization, and a range of services to help organizations maximize opportunities with state-of-the-art technologies. With a dedicated team of engineers and project managers, Codimite ensures efficient project management and communication. Their unique culture, experienced team, and focus on performance empower clients to achieve success. Codimite also excels in development infrastructure modernization, collaboration, data, and artificial intelligence development. They have a strong partnership with Google Cloud and offer services such as application migration, cost optimization, and collaboration solutions.

MetaMevs is an advanced AI-powered trading solution designed to maximize profits in the fast-paced world of decentralized finance (DeFi). The platform offers cutting-edge technology and customizable solutions to help traders stay ahead of the curve and capitalize on market opportunities. With features like Sandwich Mevbot, HFT Futures and Spot Bot, FlashLoan Arbitrage Bot, and MetaMev Sniper, MetaMevs provides unmatched performance, security, and reliability for users to optimize their trading strategies.

SuperBench is a validation and profiling tool for AI infrastructure. It provides a comprehensive set of tests and benchmarks to evaluate the performance and reliability of AI systems. The tool helps users identify bottlenecks, optimize configurations, and ensure the stability of their AI infrastructure. SuperBench is designed to streamline the validation process and improve the overall efficiency of AI deployments.

Neptune is a scalable experiment tracker for teams training foundation models. Log millions of runs, effortlessly monitor and visualize model training, and deploy on your infrastructure. Track 100% of metadata to accelerate AI breakthroughs. Log and display any framework and metadata type from any ML pipeline. Organize experiments with nested structures and custom dashboards. Compare results, visualize training, and optimize models quicker. Version models, review stages, and access production-ready models. Share results, manage users, and projects. Integrate with 25+ frameworks. Trusted by great companies to improve workflow.

Zeta is a tool designed to build state-of-the-art AI models faster by providing modular, high-performance, and scalable building blocks. It addresses the common issues faced while working with neural nets, such as chaotic codebases, lack of modularity, and low performance modules. Zeta emphasizes usability, modularity, and performance, and is currently used in hundreds of models across various GitHub repositories. It enables users to prototype, train, optimize, and deploy the latest SOTA neural nets into production. The tool offers various modules like FlashAttention, SwiGLUStacked, RelativePositionBias, FeedForward, BitLinear, PalmE, Unet, VisionEmbeddings, niva, FusedDenseGELUDense, FusedDropoutLayerNorm, MambaBlock, Film, hyper_optimize, DPO, and ZetaCloud for different tasks in AI model development.

LionAGI is a powerful intelligent workflow automation framework that introduces advanced ML models into any existing workflows and data infrastructure. It can interact with almost any model, run interactions in parallel for most models, produce structured pydantic outputs with flexible usage, automate workflow via graph based agents, use advanced prompting techniques, and more. LionAGI aims to provide a centralized agent-managed framework for "ML-powered tools coordination" and to dramatically lower the barrier of entries for creating use-case/domain specific tools. It is designed to be asynchronous only and requires Python 3.10 or higher.

DeepEval is a simple-to-use, open-source LLM evaluation framework specialized for unit testing LLM outputs. It incorporates various metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., and runs locally on your machine for evaluation. It provides a wide range of ready-to-use evaluation metrics, allows for creating custom metrics, integrates with any CI/CD environment, and enables benchmarking LLMs on popular benchmarks. DeepEval is designed for evaluating RAG and fine-tuning applications, helping users optimize hyperparameters, prevent prompt drifting, and transition from OpenAI to hosting their own Llama2 with confidence.

The Generative AI Application Builder on AWS (GAAB) is a solution that provides a web-based management dashboard for deploying customizable Generative AI (Gen AI) use cases. Users can experiment with and compare different combinations of Large Language Model (LLM) use cases, configure and optimize their use cases, and integrate them into their applications for production. The solution is targeted at novice to experienced users who want to experiment and productionize different Gen AI use cases. It uses LangChain open-source software to configure connections to Large Language Models (LLMs) for various use cases, with the ability to deploy chat use cases that allow querying over users' enterprise data in a chatbot-style User Interface (UI) and support custom end-user implementations through an API.

Solana AI Trade Bot is an advanced trading tool specifically designed for meme token trading on the Solana blockchain. It leverages AI technology powered by GPT-4.0 to automate trades, identify low-risk/high-potential tokens, and assist in token creation and management. The bot offers cross-platform compatibility and a range of configurable settings for buying, selling, and filtering tokens. Users can benefit from real-time AI support and enhance their trading experience with features like automatic selling, slippage management, and profit/loss calculations. To optimize performance, it is recommended to connect the bot to a private light node for efficient trading execution.

Podman AI Lab is an open source extension for Podman Desktop designed to work with Large Language Models (LLMs) on a local environment. It features a recipe catalog with common AI use cases, a curated set of open source models, and a playground for learning, prototyping, and experimentation. Users can quickly and easily get started bringing AI into their applications without depending on external infrastructure, ensuring data privacy and security.

The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.

This repository documents how to optimize common algorithms based on CUDA. It includes subdirectories with code implementations for specific optimizations. The optimizations cover topics such as compiling PyTorch from source, NVIDIA's reduce optimization, OneFlow's elementwise template, fast atomic add for half data types, upsample nearest2d optimization in OneFlow, optimized indexing in PyTorch, OneFlow's softmax kernel, linear attention optimization, and more. The repository also includes learning resources related to deep learning frameworks, compilers, and optimization techniques.

The Universal Numbers Library is a header-only C++ template library designed for universal number arithmetic, offering alternatives to native integer and floating-point for mixed-precision algorithm development and optimization. It tailors arithmetic types to the application's precision and dynamic range, enabling improved application performance and energy efficiency. The library provides fast implementations of special IEEE-754 formats like quarter precision, half-precision, and quad precision, as well as vendor-specific extensions. It supports static and elastic integers, decimals, fixed-points, rationals, linear floats, tapered floats, logarithmic, interval, and adaptive-precision integers, rationals, and floats. The library is suitable for AI, DSP, HPC, and HFT algorithms.

Paddler is an open-source load balancer and reverse proxy designed specifically for optimizing servers running llama.cpp. It overcomes typical load balancing challenges by maintaining a stateful load balancer that is aware of each server's available slots, ensuring efficient request distribution. Paddler also supports dynamic addition or removal of servers, enabling integration with autoscaling tools.

The ByteIR Project is a ByteDance model compilation solution. ByteIR includes compiler, runtime, and frontends, and provides an end-to-end model compilation solution. Although all ByteIR components (compiler/runtime/frontends) are together to provide an end-to-end solution, and all under the same umbrella of this repository, each component technically can perform independently. The name, ByteIR, comes from a legacy purpose internally. The ByteIR project is NOT an IR spec definition project. Instead, in most scenarios, ByteIR directly uses several upstream MLIR dialects and Google Mhlo. Most of ByteIR compiler passes are compatible with the selected upstream MLIR dialects and Google Mhlo.

Qlib is an open-source, AI-oriented quantitative investment platform that supports diverse machine learning modeling paradigms, including supervised learning, market dynamics modeling, and reinforcement learning. It covers the entire chain of quantitative investment, from alpha seeking to order execution. The platform empowers researchers to explore ideas and implement productions using AI technologies in quantitative investment. Qlib collaboratively solves key challenges in quantitative investment by releasing state-of-the-art research works in various paradigms. It provides a full ML pipeline for data processing, model training, and back-testing, enabling users to perform tasks such as forecasting market patterns, adapting to market dynamics, and modeling continuous investment decisions.

Aiogram & Django API Template is a robust and secure Django template with advanced features like Docker integration, Celery for asynchronous tasks, Sentry for error tracking, Django Rest Framework for building APIs, and more. It provides scalability options, up-to-date dependencies, and integration with AWS S3 for storage. The template includes configuration guides for secrets, ports, performance tuning, application settings, CORS and CSRF settings, and database configuration. Security, scalability, and monitoring are emphasized for efficient Django API development.

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AutoGPT is a revolutionary tool that empowers everyone to harness the power of AI. With AutoGPT, you can effortlessly build, test, and delegate tasks to AI agents, unlocking a world of possibilities. Our mission is to provide the tools you need to focus on what truly matters: innovation and creativity.

Sematic is an open-source ML development platform that allows ML Engineers and Data Scientists to write complex end-to-end pipelines with Python. It can be executed locally, on a cloud VM, or on a Kubernetes cluster. Sematic enables chaining data processing jobs with model training into reproducible pipelines that can be monitored and visualized in a web dashboard. It offers features like easy onboarding, local-to-cloud parity, end-to-end traceability, access to heterogeneous compute resources, and reproducibility.

Generative BI using RAG on AWS is a comprehensive framework designed to enable Generative BI capabilities on customized data sources hosted on AWS. It offers features such as Text-to-SQL functionality for querying data sources using natural language, user-friendly interface for managing data sources, performance enhancement through historical question-answer ranking, and entity recognition. It also allows customization of business information, handling complex attribution analysis problems, and provides an intuitive question-answering UI with a conversational approach for complex queries.

Develops, advises and optimizes infrastructure-as-code practices across the organization.

Cloud engineer expert in Terraform for AWS/GCP infrastructures.

I'm an always-on-call cloud expert, specializing in solving GCP problems.

Expert in Azure's latest services, including Application Insights, API Management, and more.

I'm a Python and PyTorch expert with knowledge of ML infrastructure requirements ready to help you build and scale your ML projects.

Expert in cloud computing, offering insights on services, security, and infrastructure.

An expert MLOps engineer assisting in DevOps and pipeline optimization.

Cloud computing ace with an old school vibe.

A technical encyclopedia for network operations, offering detailed solutions and advice.

Expert in cloud-native solutions, provides tailored tech advice and cost estimates.

Professional Resume & CV Assistant 📝 Optimize for ATS 🤖 Tailor to Job Descriptions 🎯 Compelling Content ✨ Interview Tips 💡

A friendly AI that helps artists optimize their artwork listings for SEO.

Optimize your ecommerce store for SEO with tailored SEO strategies.

I help you optimize your hotel's OTA distribution Mix

Optimize a YouTube script based on the top viral videos

I'll help you optimize your website for more conversions, and compare your site's CRO potential to competitors’.

Advises on thermodynamics processes to optimize system efficiency.

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Manages project expenses to optimize financial efficiency.