Inference 24

Platform to run AI models on GPUs via API, pay-per-second billing. AI Tools 99 is a platform that allows users to run AI models and workflows on GPUs via an API. It automatically scales based on traffic and bills users only for the runtime, preventing GPU overcharges. Users can run and fine-tune open-source models and only pay for the time the GPU is running, billed by the second. When there is no activity, it scales to zero, and there are no charges.

A powerful, open-source LLM with various fine-tuned models for specific applications. Mistral 7B is a large language model (LLM) created by Mistral AI, designed to be powerful and adaptable for various use-cases. It outperforms Llama 2 13B on benchmarks and features natural coding abilities and an 8k sequence length. Numerous fine-tuned models based on Mistral 7B are available, each tailored for specific applications like occult knowledge, scientific reasoning, or role-playing.

Synexa AI: Deploy AI models with one line of code, cost-effective, scalable GPU infrastructure. Synexa AI is an AI deployment and infrastructure platform that allows users to run powerful AI models instantly with just one line of code. It is designed to be fast, stable, and developer-friendly, offering cost-effective GPU pricing, automatic scaling, and a world-class developer experience. Synexa provides access to an extensive collection of over 100 production-ready AI models and boasts a blazing fast inference engine.

Serverless AI infrastructure platform for building, deploying, and scaling AI applications with cost savings. Cerebrium is a serverless AI infrastructure platform that simplifies the process of building, deploying, and scaling AI applications. It offers a variety of GPUs, large-scale batch job execution, and real-time voice application capabilities. Cerebrium aims to provide a cost-effective alternative to AWS and GCP, with customers experiencing over 40% cost savings. It focuses on optimizing the pipeline for fast cold starts and ensures system reliability with 99.999% uptime, SOC 2 & HIPAA compliance, and comprehensive observability tools.

Managed workflow orchestrator for building, managing, and monitoring data and ML pipelines. Union Cloud is a managed workflow orchestrator built on Flyte™ that enables ML product teams to confidently build, manage, and monitor robust, reliable, and scalable data and ML pipelines, without worrying about the underlying infrastructure. Union powers your AI development lifecycle—orchestrate workflows, optimize costs in real time, and manage massive unstructured data at scale.

ML boilerplate to finetune and ship AI models in production quickly. FinetuneFast is an ML model boilerplate designed to help users quickly finetune and deploy AI models into production. It aims to reduce the time and complexity associated with setting up model training, preparing data, handling API integration, evaluating models, deploying models, and scaling infrastructure. FinetuneFast supports various models, including text-to-image models and LLMs, and offers pre-configured training scripts, efficient data loading pipelines, and one-click model deployment.

GPU platform for Dockerized applications and AI inference with cost savings. GPUX offers a platform to run anything Dockerized, including autoscale inference, with GPU support, claiming cost savings of 50-90%. It provides serverless GPU inference and supports various AI models like StableDiffusionXL, ESRGAN, and WHISPER. They also offer private model deployment for other organizations.

Cloud solutions for AI development, training, and inference with various AI accelerators. Cirrascale Cloud Services provides cloud-based solutions to accelerate AI development, training, and inference workloads. It offers a platform to test and deploy on various leading AI accelerators, including AMD Instinct, Cerebras, NVIDIA GPU, and Qualcomm Cloud AI. The company focuses on delivering high throughput, multi-tiered storage, professional and managed services, and high bandwidth, low-latency networking.

A platform for fast inference of generative AI models, including fine-tuning and deployment. Fireworks AI is a platform designed to provide the fastest inference for generative AI models. It allows users to utilize state-of-the-art, open-source LLMs and image models at high speeds. Users can fine-tune and deploy their own models at no additional cost. The platform offers a range of tools and infrastructure to build and deploy generative AI applications, including model APIs, customization options, and compound AI systems.

RunPod offers cost-effective GPU rentals and serverless inference for AI development and scaling. RunPod is a cloud platform specializing in GPU rentals, offering cost-effective solutions for AI development, training, and scaling. It provides on-demand GPUs, serverless inference, and tools like Jupyter for PyTorch and TensorFlow, catering to startups, academic institutions, and enterprises.

Unified interface for LLMs offering better prices, uptime, and data policies. OpenRouter is the unified interface for LLMs. It provides better prices, better uptime, and no subscription. It allows access to all major models through a single, unified interface, and the OpenAI SDK works out of the box. OpenRouter offers higher availability through its distributed infrastructure, falling back to other providers when one goes down. It also provides price and performance optimization, running at the edge and adding just ~25ms between users and their inference. Custom data policies are available to protect organizations with fine-grained data policies, ensuring prompts only go to trusted models and providers.

Unfiltered LLM inferencing service with free and paid models. Mancer AI is a large language model inferencing service that provides access to unfiltered LLMs. It allows users to run prompts against high-end machines without constraints or sanitization. Mancer AI offers both free and paid models, with the paid models being harder, better, faster, and stronger.

Collaborative tool for running large language models by distributing model parts. An open source tool for running large language models like BLOOM-176B collaboratively. Users load a small part of the model and team up with others serving the other parts to run inference or fine-tuning.

TextSynth offers access to various AI models via API and playground. TextSynth provides access to large language, text-to-image, text-to-speech, and speech-to-text models like Mistral, Llama, Stable Diffusion, and Whisper through a REST API and a playground. It can be used for text completion, question answering, classification, chat, translation, image generation, speech generation, and speech-to-text transcription. TextSynth employs custom inference code for faster inference and lower costs on standard GPUs and CPUs.

Affordable, ultra-fast Stable Diffusion API for image generation and editing. Runware offers a low-cost, ultra-fast Stable Diffusion API, enabling affordable and flexible image generation. It allows users to easily deploy blazing-fast AI features in any application, offering sub-second generative AI powered by custom hardware and renewable energy. The platform supports a vast model library, including checkpoints from CivitAI, and provides tools for image generation, editing, custom avatars, concept design, and more, without requiring specialized AI expertise.

AI community platform for open-source ML models, datasets, and applications. Hugging Face is an AI community building the future through open source and open science. It provides a platform where the machine learning community collaborates on models, datasets, and applications. Hugging Face offers tools for creating, discovering, and collaborating on ML projects, including hosting unlimited models, datasets, and applications. It also provides paid Compute and Enterprise solutions to accelerate ML development.

Outspeed: Build low-latency AI apps and deploy AI voice companions with emotions and memory. Outspeed provides tooling and infrastructure to build low latency AI applications on top of streaming data like video, audio, or sensor data. It allows users to build and deploy AI voice companions with emotions and memory, offering inference for speech-to-speech models. The platform enables quick deployment of unlimited voice companions that scale with users.

Predibase is a low-code AI platform for building, fine-tuning, and deploying state-of-the-art AI models, including LLMs. Predibase is a low-code AI platform that enables engineers and data scientists to build, optimize, and deploy state-of-the-art models, ranging from linear regressions to large language models, using minimal code. It specializes in fine-tuning and serving LLMs, allowing users to customize and serve open-source models that can outperform GPT-4 within their own cloud or Predibase's infrastructure. The platform offers features like reinforcement fine-tuning, multi-LoRA inference, and autoscaling infrastructure to ensure unmatched accuracy and speed in training and serving AI models.

Platform for simplified ML model deployment, scaling, and inference via a unified API. WizModel is a platform designed to simplify the deployment and scaling of machine learning models. It provides a unified API for ML inference, allowing users to run models without extensive coding. WizModel offers tools like Cog2 to package models into production-ready containers and automatically generates scalable API servers, handling dependencies, GPU configurations, and scaling. It also allows users to explore and use thousands of pre-existing models shared by the community.

AI Acceleration Cloud for fast inference, fine-tuning, and training. Together AI is an AI Acceleration Cloud providing an end-to-end platform for the full generative AI lifecycle. It offers fast inference, fine-tuning, and training capabilities for generative AI models using easy-to-use APIs and highly scalable infrastructure. Users can run and fine-tune open-source models, train and deploy models at scale on their AI Acceleration Cloud and scalable GPU clusters, and optimize performance and cost. The platform supports over 200 generative AI models across various modalities like chat, images, code, and more, with OpenAI-compatible APIs.

Unified interface for LLMs, offering access to various models and prices with better uptime. OpenRouter is a unified interface for Large Language Models (LLMs), providing access to various models and prices for prompts. It offers better prices, uptime, and no subscription fees. It allows users to access major models through a single, unified interface, compatible with the OpenAI SDK. OpenRouter also provides features like routing curves, model routing visualization, higher availability through distributed infrastructure, price and performance optimization, and custom data policies.

EnergeticAI optimizes TensorFlow.js for serverless AI applications with easy deployment. EnergeticAI is a platform that optimizes TensorFlow.js for serverless environments, enabling developers to use open-source AI in their Node.js applications with fast cold-start times, small module sizes, and pre-trained models. It simplifies the deployment of open-source AI, making it as easy as `npm install`.

PremAI builds sovereign, private, and personalized AI solutions for enterprises and consumers. Prem is an applied AI research lab dedicated to building a future where everyone can access sovereign, private, and personalized AI. They focus on creating secure, personalized AI models, offering products for enterprises and consumers. Their core products include an Autonomous Finetuning Agent and Encrypted Inference using TrustML™ to protect sensitive data. Prem also advances AI through transparent, secure, and explainable reasoning with Specialized Reasoning Models (SRM). They offer open-source models like Prem-1B-SQL and Prem-1B Series for Retrieval-Augmented Generation (RAG).

A platform for deploying and running machine learning models with a simple API and pay-per-use pricing. Deep Infra offers cost-effective, scalable, easy-to-deploy, and production-ready machine-learning models and infrastructures for deep-learning models. It provides a platform to run top AI models using a simple API, with pay-per-use pricing and low-latency inference. Users can deploy custom LLMs on dedicated GPUs and access various models for text generation, text-to-speech, text-to-image, and automatic speech recognition.