Best AI tools for< Scale Out Workloads >

Gretel.ai is an AI tool that helps users incorporate generative AI into their data by generating synthetic data that is as good or better than the existing data. Users can fine-tune custom AI models and use Gretel's APIs to generate unlimited synthesized datasets, perform privacy-preserving transformations on sensitive data, and identify PII with advanced NLP detection. Gretel's APIs make it simple to generate anonymized and safe synthetic data, allowing users to innovate faster and preserve privacy while doing it. Gretel's platform includes Synthetics, Transform, and Classify APIs that provide users with a complete set of tools to create safe data. Gretel also offers a range of resources, including documentation, tutorials, GitHub projects, and open-source SDKs for developers. Gretel Cloud runners allow users to keep data contained by running Gretel containers in their environment or scaling out workloads to the cloud in seconds. Overall, Gretel.ai is a powerful AI tool for generating synthetic data that can help users unlock innovation and achieve more with safe access to the right data.

Ardor is an AI tool that offers an all-in agentic software development lifecycle automation platform. It helps users build, deploy, and scale AI agents on the cloud efficiently and cost-effectively. With Ardor, users can start with a prompt, design AI agents visually, see their product get built, refine and iterate, and launch in minutes. The platform provides real-time collaboration features, simple pricing plans, and various tools like Ardor Copilot, AI Agent-Builder Canvas, Instant Build Messages, AI Debugger, Proactive Monitoring, Role-Based Access Control, and Single Sign-On.

Luma Dream Machine is a cutting-edge AI application that empowers users to ideate, visualize, and create stunning images and videos with ease. By leveraging powerful image and video AI models, users can bring their creative visions to life in a fluid and intuitive manner. The platform offers a range of features to facilitate fast iteration, creative exploration, and seamless editing, making it a go-to tool for artists, designers, and content creators seeking to push the boundaries of visual storytelling.

Luma AI is a 3D capture platform that allows users to create interactive 3D scenes from videos. With Luma AI, users can capture 3D models of people, objects, and environments, and then use those models to create interactive experiences such as virtual tours, product demonstrations, and training simulations.

Smartlead is an AI-powered cold email outreach tool designed to help businesses scale their outreach efforts seamlessly. With features like unlimited mailboxes, email warmups, multi-channel infrastructure, and a unified master inbox, Smartlead empowers users to manage their entire revenue cycle in one place. The platform offers powerful APIs, automation, and white labeling options to build long-lasting relationships with clients and boost email deliverability. Smartlead caters to lead generation agencies, marketing agencies, sales leaders, recruiters, and more, providing versatile solutions for a variety of industries.

Unitary Virtual Agents is an AI BPO application that offers virtual agents for customer, marketplace, and safety operations. It provides a solution to replace manual effort with a blend of AI agents and expert humans, ensuring fast responses, cost-effectiveness, and human-level accuracy without the need for engineering integration. The application aims to minimize costs, improve response time, automate tasks, maintain high accuracy, and offer easy integration for businesses across various industries.

Outset is an AI-powered research platform that enables users to conduct and synthesize video, audio, and text conversations with hundreds of participants at once. It uses AI to moderate conversations, identify common themes, tag relevant conversations, and pull out powerful quotes. Outset is designed to help researchers understand the 'why' behind answers and gain deeper insights into the people they serve.

MATH (ML & AI Technology Hub) is a premier innovation hub and ecosystem enabler based in T-Hub, Hyderabad. It serves as a Centre of Excellence for Machine Learning and Artificial Intelligence, connecting startups, academia, government, and industry giants. MATH offers a dynamic space, physical resources, and a thriving ecosystem to incubate startups in various sectors. The hub aims to foster AI innovation, empower startups, and create job opportunities in the AI field by 2025.

Argil is an AI application that offers a platform for generating engaging AI videos quickly and easily. Users can create high-quality videos for social media, education, promotion, and entertainment purposes using AI technology. The platform allows users to clone themselves virtually, create AI avatars, and leverage various features to enhance video production. With a range of pricing plans and API access, Argil aims to revolutionize content creation by providing efficient and affordable video solutions.

NirvanaAI is an AI tool designed to help CMOs at fast-growing scale-ups create compliant, high-quality content automatically. It reduces reliance on agencies, keeps brands visible 24/7, and offers features like content research, drafting, and revision. The tool is ideal for regulated industries like clean-tech and provides real-time collaboration, AI-powered co-writing, and one-click content transformation. NirvanaAI ensures ethical and responsible communication and supports multiple languages.

UniqMail is an AI-powered email personalization tool that helps you create and send personalized emails at scale. With UniqMail, you can create unlimited projects, add up to 50 data items for message creation, and generate personalized messages with just a few clicks. UniqMail also offers direct sending, offline creation, and cost-saving features.

TraqCheck is an AI-powered agent for background checks that offers simple, fast, and reliable verifications verified by human experts. It brings inhuman speed and transparency to the verification process, enabling quick hiring decisions at scale. TraqCheck supports various types of checks, including ID, criminal, education, employment history, and more. The platform helps in managing hiring smartly by tracking progress, running analytics, and generating reports on-the-fly. With powerful features like HRMS integration, AI-powered insights, API integration, and more, TraqCheck enhances the hiring process and boosts efficiency and scalability.

BENlabs is an AI-powered marketing and product placement agency that specializes in influencer marketing, brand integration, and media buying. With over 15 years of experience, BENlabs offers advanced audience insights, strategic client success, and data-driven solutions to help brands grow and scale. The agency leverages AI algorithms to analyze brand audiences, competition, and relevant creators, providing tailored content strategies for maximum impact.

Plus is an AI-based autonomous driving software company that focuses on developing solutions for driver assist and autonomous driving technologies. The company offers a suite of autonomous driving solutions designed for integration with various hardware platforms and vehicle types, ranging from perception software to highly automated driving systems. Plus aims to transform the transportation industry by providing high-performance, safe, and affordable autonomous driving vehicles at scale.

Lightup is a cloud data quality monitoring tool with AI-powered anomaly detection, incident alerts, and data remediation capabilities for modern enterprise data stacks. It specializes in helping large organizations implement successful and sustainable data quality programs quickly and easily. Lightup's pushdown architecture allows for monitoring data content at massive scale without moving or copying data, providing extreme scalability and optimal automation. The tool empowers business users with democratized data quality checks and enables automatic fixing of bad data at enterprise scale.

Dropy.AI is an AI-powered dropshipping tool designed to help entrepreneurs succeed in e-commerce. With features like AI virtual assistant, winning product suggestions, and brand insights, Dropy.AI streamlines the dropshipping process and boosts efficiency. The tool offers a 3-day free trial, integrates with major suppliers, and automates daily tasks to save time and increase productivity. Users can create professional stores in minutes, import products with one click, and access supporting products for higher profit margins. Dropy.AI is a comprehensive solution for dropshippers looking to scale their businesses and stay ahead in the competitive e-commerce industry.

PrimeLSA is an AI-driven Google Local Services Ads management agency that specializes in boosting local visibility for small and medium-sized businesses. They offer expert management services for various industries, including plumbing, HVAC, electrical, law, and more. PrimeLSA conducts comprehensive analyses of Local Services Ads accounts, identifies gaps, and implements tailored strategies to optimize campaigns for increased visibility and lead generation. The agency utilizes AI technology for lead dispute resolution, sales script analysis, and ad scaling to enhance the effectiveness of Local Services Ads. With a focus on maximizing revenue and improving customer service, PrimeLSA helps businesses stand out in local search results and attract high-quality leads.

ZeroGPT is a trusted AI detector tool that specializes in detecting AI-generated content like ChatGPT, GPT4, and Gemini. It offers advanced features such as AI summarization, paraphrasing, grammar and spell checking, translation, word counting, and citation generation. The tool is designed to provide highly accurate results and supports multiple languages. ZeroGPT stands out for its highlighted sentences feature, batch file upload capability, high accuracy model, and automatically generated reports. It utilizes DeepAnalyse™ Technology, a multi-stage methodology that optimizes accuracy while minimizing false positives and negatives. Users can unlock premium features and API access to enhance their writing skills and integrate the tool on a large scale.

TextUnited is an AI Translation Platform that offers expert translations through an AI-powered platform and world-class customer service. It provides solutions for website translation, eLearning & education, software localization, unlocking new markets, multilingual customer experience, and organization & productivity of translation. The platform uses AI technology to deliver custom translations at scale and a fraction of the cost, while also offering human translation services by expert linguists. TextUnited stands out for its simplicity, power of AI, customer service, content automation, and continuously enhanced automatic translation.

Hidden Layers AI is a consultancy and training company specializing in Generative AI for businesses. They offer services such as AI training, business assessments, and implementation to help organizations harness the power of AI efficiently. The company stands out for its expertise in seamlessly integrating GenAI and LLM technologies, empowering workforce with GenAI capabilities, and crafting efficient GenAI workflows. Hidden Layers AI provides customized training programs for all levels and departments, ensuring practical AI skills development. They also offer a range of AI solutions from basic implementation to full-scale transformation, with a focus on user adoption, risk management, and ongoing support.

Beta9 is an open-source platform for running scalable serverless GPU workloads across cloud providers. It allows users to scale out workloads to thousands of GPU or CPU containers, achieve ultrafast cold-start for custom ML models, automatically scale to zero to pay for only what is used, utilize flexible distributed storage, distribute workloads across multiple cloud providers, and easily deploy task queues and functions using simple Python abstractions. The platform is designed for launching remote serverless containers quickly, featuring a custom, lazy loading image format backed by S3/FUSE, a fast redis-based container scheduling engine, content-addressed storage for caching images and files, and a custom runc container runtime.

SkyPilot is a framework for running LLMs, AI, and batch jobs on any cloud, offering maximum cost savings, highest GPU availability, and managed execution. SkyPilot abstracts away cloud infra burdens: - Launch jobs & clusters on any cloud - Easy scale-out: queue and run many jobs, automatically managed - Easy access to object stores (S3, GCS, R2) SkyPilot maximizes GPU availability for your jobs: * Provision in all zones/regions/clouds you have access to (the _Sky_), with automatic failover SkyPilot cuts your cloud costs: * Managed Spot: 3-6x cost savings using spot VMs, with auto-recovery from preemptions * Optimizer: 2x cost savings by auto-picking the cheapest VM/zone/region/cloud * Autostop: hands-free cleanup of idle clusters SkyPilot supports your existing GPU, TPU, and CPU workloads, with no code changes.

PARAM Benchmarks is a repository of communication and compute micro-benchmarks as well as full workloads for evaluating training and inference platforms. It complements commonly used benchmarks by focusing on AI training with PyTorch based collective benchmarks, GEMM, embedding lookup, linear layer, and DLRM communication patterns. The tool bridges the gap between stand-alone C++ benchmarks and PyTorch/Tensorflow based application benchmarks, providing deep insights into system architecture and framework-level overheads.

AIStore is a lightweight object storage system designed for AI applications. It is highly scalable, reliable, and easy to use. AIStore can be deployed on any commodity hardware, and it can be used to store and manage large datasets for deep learning and other AI applications.

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

AITreasureBox is a comprehensive collection of AI tools and resources designed to simplify and accelerate the development of AI projects. It provides a wide range of pre-trained models, datasets, and utilities that can be easily integrated into various AI applications. With AITreasureBox, developers can quickly prototype, test, and deploy AI solutions without having to build everything from scratch. Whether you are working on computer vision, natural language processing, or reinforcement learning projects, AITreasureBox has something to offer for everyone. The repository is regularly updated with new tools and resources to keep up with the latest advancements in the field of artificial intelligence.

SimAI is the industry's first full-stack, high-precision simulator for AI large-scale training. It provides detailed modeling and simulation of the entire LLM training process, encompassing framework, collective communication, network layers, and more. This comprehensive approach offers end-to-end performance data, enabling researchers to analyze training process details, evaluate time consumption of AI tasks under specific conditions, and assess performance gains from various algorithmic optimizations.

Bodo is a high-performance Python compute engine designed for large-scale data processing and AI workloads. It utilizes an auto-parallelizing just-in-time compiler to optimize Python programs, making them 20x to 240x faster compared to alternatives. Bodo seamlessly integrates with native Python APIs like Pandas and NumPy, eliminates runtime overheads using MPI for distributed execution, and provides exceptional performance and scalability for data workloads. It is easy to use, interoperable with the Python ecosystem, and integrates with modern data platforms like Apache Iceberg and Snowflake. Bodo focuses on data-intensive and computationally heavy workloads in data engineering, data science, and AI/ML, offering automatic optimization and parallelization, linear scalability, advanced I/O support, and a high-performance SQL engine.

CRB (Composable Runtime Blocks) is a unique framework that implements hybrid workloads by seamlessly combining synchronous and asynchronous activities, state machines, routines, the actor model, and supervisors. It is ideal for building massive applications and serves as a low-level framework for creating custom frameworks, such as AI-agents. The core idea is to ensure high compatibility among all blocks, enabling significant code reuse. The framework allows for the implementation of algorithms with complex branching, making it suitable for building large-scale applications or implementing complex workflows, such as AI pipelines. It provides flexibility in defining structures, implementing traits, and managing execution flow, allowing users to create robust and nonlinear algorithms easily.

Apache Cloudberry (Incubating) is an advanced and mature open-source Massively Parallel Processing (MPP) database, evolving from the open-source version of the Pivotal Greenplum Database®️. It features a newer PostgreSQL kernel and advanced enterprise capabilities, serving as a data warehouse for large-scale analytics and AI/ML workloads. The main repository includes ecosystem repositories for the website, extensions, connectors, adapters, and utilities.

The Google Cloud Applied AI Engineering repository provides reference guides, blueprints, code samples, and hands-on labs developed by the Google Cloud Applied AI Engineering team. It contains resources for Generative AI on Vertex AI, including code samples and hands-on labs demonstrating the use of Generative AI models and tools in Vertex AI. Additionally, it offers reference guides and blueprints that compile best practices and prescriptive guidance for running large-scale AI/ML workloads on Google Cloud AI/ML infrastructure.

Felafax is a framework designed to tune LLaMa3.1 on Google Cloud TPUs for cost efficiency and seamless scaling. It provides a Jupyter notebook for continued-training and fine-tuning open source LLMs using XLA runtime. The goal of Felafax is to simplify running AI workloads on non-NVIDIA hardware such as TPUs, AWS Trainium, AMD GPU, and Intel GPU. It supports various models like LLaMa-3.1 JAX Implementation, LLaMa-3/3.1 PyTorch XLA, and Gemma2 Models optimized for Cloud TPUs with full-precision training support.

GuideLLM is a powerful tool for evaluating and optimizing the deployment of large language models (LLMs). By simulating real-world inference workloads, GuideLLM helps users gauge the performance, resource needs, and cost implications of deploying LLMs on various hardware configurations. This approach ensures efficient, scalable, and cost-effective LLM inference serving while maintaining high service quality. Key features include performance evaluation, resource optimization, cost estimation, and scalability testing.

The AI Horde is an enterprise-level ML-Ops crowdsourced distributed inference cluster for AI Models. This middleware can support both Image and Text generation. It is infinitely scalable and supports seamless drop-in/drop-out of compute resources. The Public version allows people without a powerful GPU to use Stable Diffusion or Large Language Models like Pygmalion/Llama by relying on spare/idle resources provided by the community and also allows non-python clients, such as games and apps, to use AI-provided generations.

LLM Foundry is a codebase for training, finetuning, evaluating, and deploying LLMs for inference with Composer and the MosaicML platform. It is designed to be easy-to-use, efficient _and_ flexible, enabling rapid experimentation with the latest techniques. You'll find in this repo: * `llmfoundry/` - source code for models, datasets, callbacks, utilities, etc. * `scripts/` - scripts to run LLM workloads * `data_prep/` - convert text data from original sources to StreamingDataset format * `train/` - train or finetune HuggingFace and MPT models from 125M - 70B parameters * `train/benchmarking` - profile training throughput and MFU * `inference/` - convert models to HuggingFace or ONNX format, and generate responses * `inference/benchmarking` - profile inference latency and throughput * `eval/` - evaluate LLMs on academic (or custom) in-context-learning tasks * `mcli/` - launch any of these workloads using MCLI and the MosaicML platform * `TUTORIAL.md` - a deeper dive into the repo, example workflows, and FAQs

LitData is a tool designed for blazingly fast, distributed streaming of training data from any cloud storage. It allows users to transform and optimize data in cloud storage environments efficiently and intuitively, supporting various data types like images, text, video, audio, geo-spatial, and multimodal data. LitData integrates smoothly with frameworks such as LitGPT and PyTorch, enabling seamless streaming of data to multiple machines. Key features include multi-GPU/multi-node support, easy data mixing, pause & resume functionality, support for profiling, memory footprint reduction, cache size configuration, and on-prem optimizations. The tool also provides benchmarks for measuring streaming speed and conversion efficiency, along with runnable templates for different data types. LitData enables infinite cloud data processing by utilizing the Lightning.ai platform to scale data processing with optimized machines.

Synmetrix (prev. MLCraft) is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Key features include data modeling and transformations, semantic layer for unified data model, scheduled reports and alerts, versioning, role-based access control, data exploration, caching, and collaboration on metrics modeling. Synmetrix leverages Cube (Cube.js) for flexible data models that consolidate metrics from various sources, enabling downstream distribution via a SQL API for integration into BI tools, reporting, dashboards, and data science. Use cases include data democratization, business intelligence, embedded analytics, and enhancing accuracy in data handling and queries. The tool speeds up data-driven workflows from metrics definition to consumption by combining data engineering best practices with self-service analytics capabilities.

Synmetrix is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Key features include data modeling and transformations, semantic layer for unified data model, scheduled reports and alerts, versioning, role-based access control, data exploration, caching, and collaboration on metrics modeling. Synmetrix leverages Cube.js to consolidate metrics from various sources and distribute them downstream via a SQL API. Use cases include data democratization, business intelligence and reporting, embedded analytics, and enhancing accuracy in data handling and queries. The tool speeds up data-driven workflows from metrics definition to consumption by combining data engineering best practices with self-service analytics capabilities.

A comprehensive guide to building Retrieval Augmented Generation (RAG)-based LLM applications for production. This guide covers developing a RAG-based LLM application from scratch, scaling the major components, evaluating different configurations, implementing LLM hybrid routing, serving the application in a highly scalable and available manner, and sharing the impacts LLM applications have had on products.

Tracecat is an open-source automation platform for security teams. It's designed to be simple but powerful, with a focus on AI features and a practitioner-obsessed UI/UX. Tracecat can be used to automate a variety of tasks, including phishing email investigation, evidence collection, and remediation plan generation.

Optimizes production processes for efficient large-scale operations.

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