Infrastructure tools AI tools with API

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.

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.

OmniRoute is an open-source AI gateway that routes requests to 236 LLM providers via a single /v1 endpoint, offering multi-provider routing with auto-fallback, token compression, persistent memory, resilience controls, MCP/A2A support, and self-hosted analytics.

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.

Img2Prompt is an AI tool that generates text prompts from images and provides a public API for image captioning and prompt-based image generation. It can run on personal hardware or cloud platforms.

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‑native runtime and storage.

Netify Application Lookup provides a categorized index and downloadable datasets of detected websites, apps, IPs and protocols via APIs and feeds (including VPN/Tor/WiFi Calling), enabling traffic classification, policy enforcement, capacity planning and incident response.

MimicPC is a cloud-based AI tool for image generation and AI application deployment in the cloud, offering over 20 pre-deployment applications, including Stable Diffusion.

Vectorize is a modular AI platform for building, deploying, and managing intelligent agents with persistent memory. It offers end‑to‑end context engineering, data connectors, automated pipelines, semantic search, and enterprise security for reliable RAG solutions.

Lemonade is a self-hosted local AI platform offering GUI, CLI, REST API and SDKs to host and run multimodal models (text, image, code, speech), manage model lifecycle, benchmark inference, deploy on-prem agents, and keep data local.

GPU Mart provides dedicated GPU server hosting and VPS solutions optimized for demanding AI workloads, including LLM inference, image generation, and 3D rendering, offering guaranteed resources and transparent pricing.

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 scientists, engineers, and DevOps.

AI Horde is a community‑powered platform that harnesses volunteer CPU/GPU resources to generate images, text, and utilities via an open REST API. Users can access it through web apps, earn kudos for queue priority, and view real‑time throughput stats.

EmpirioLabs AI is a platform for hosting, deploying, and scaling open-source and proprietary AI models via API or web playground. It supports multimodal, long-context models with optimized endpoints, creative templates, and high-throughput rate limits for production workloads.

Cerebrium is a serverless AI platform enabling rapid deployment of language, vision, and agent models. It offers zero DevOps, auto‑scaling, per‑second billing, low‑latency WebSocket endpoints, multi‑region support, and customizable GPU selection.

Schematic decouples pricing and entitlements from product code, enabling SaaS teams to meter seats, credits, tokens, API calls and MAUs, enforce limits/overages, manage plans and feature flags via a config-driven catalog, integrate with Stripe, and surface revenue insights.

Brainboard is a visual Infrastructure-as-Code designer that generates Terraform/OpenTofu modules, offers one-click IaC migration, a central module registry and self-service catalogs, integrates with GitOps/CI-CD, and enforces governance with RBAC, templating and drift remediation.

ComfyDeploy is an open-source tool for deploying ComfyUI workflows, enabling instant sharing, auto-scaling for GPUs, version control, and custom node integration, while supporting external input nodes and private S3 for efficient performance validation.

General Compute is an OpenAI-compatible inference API using custom ASIC accelerators to deliver high throughput (e.g., 950 tokens/sec) and dramatically lower power consumption (≈17 kW vs. 120 kW per rack), enabling developers to switch providers by simply changing the base URL and API key. It supports REST endpoints, streaming, SDKs, and deployment options from shared models to dedicated infrastructure with SLAs.

Opencomputer is a scalable, on-demand compute platform for LLM agents and AI workloads, combining VM-level isolation with sandboxed execution. It supports type-1 ephemeral sandboxes for fast cold-starts (~100ms) and type-2 persistent sandboxes for long-running agent sessions with state preservation.

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.

entrim.ai is a serverless LLM inference API compatible with OpenAI, enabling production deployment of open-source models like Qwen, DeepSeek, and Gemma. It offers managed GPU clusters, bare-metal rentals, autoscaling, and EU-controlled data protection for cost-efficient, reliable AI workloads.

Experiential Labs is a unified AI gateway with a single API endpoint that routes requests across hosted providers, user keys, and self-hosted GPUs, while applying intelligent model selection, caching, and fine-tuning. It adds centralized traffic monitoring, spend control, and per-request governance through a console with role-based key management and failover support.

local.ai runs language models locally without GPUs. Its Rust backend keeps the binary under 10 MB and performs CPU inference with GGML quantization. A single‑click interface streams responses to a UI, while a model manager tracks, verifies, and resumes downloads.

Meteron is an AI backend platform that enables rapid product development without infrastructure management, complex business logic and storage concerns.

SvectorDB is a serverless AWS vector database that supports instant upserts, deletions, and hybrid vector‑Lucene searches. It offers built‑in text and image vectorizers, custom embedding import, and scales to one million records per database.

llmule is a decentralized network that enables users to run AI models locally, ensuring data privacy. It offers a library of community-shared models, promoting flexibility and collaboration while eliminating reliance on cloud services.

auriko.ai is a cache-aware LLM inference platform that optimizes cost and latency by routing requests across multiple providers based on real-time pricing and prompt-caching behavior. It offers a unified, OpenAI-compatible API with global edge routing, automatic failover, and seamless integration with major ecosystems like LangChain and Vercel.

Stakpak is an AI DevOps terminal that streamlines the management of cloud infrastructure, automates application containerization, and enhances troubleshooting. It integrates with existing tools, provides cost insights, and supports CI/CD pipelines in an open-source framework.

KoboldCpp is a versatile AI text-generation tool that supports various GGML and GGUF models with an intuitive UI, native image generation, and enhanced performance via CUDA and CLBlast acceleration.