Webgpu AI Inference

fal.ai offers a unified API for generating images, videos, audio, and 3D models from a library of over 1,000 production‑ready assets. It provides serverless GPU inference, private deployment options, NVIDIA‑cluster fine‑tuning, SOC 2 compliance, and enterprise‑grade support.

Browser‑based AI upscaler uses WebGPU and open‑source algorithms like Anime4K and RealESRGAN to enlarge video and image resolution. It processes each frame client‑side, preserving privacy, with drag‑and‑drop, side‑by‑side comparison, and selectable output sizes.

Fireworks AI is a cloud‑hosted inference platform supporting code, conversational, agentic, and search workflows across text, vision, audio, and image modalities. It delivers scalable, low‑latency inference with secure RAG and serverless GPU options.

GPUX is a serverless inference platform that delivers 1‑second cold starts and GPU‑accelerated execution for models like Stable Diffusion XL, ESRGAN, and Whisper. It supports P2P and read‑write volume access for rapid, scalable deployment on NVIDIA RTX 4090 GPUs.

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.

Lightning AI is a PyTorch Lightning‑based cloud platform for training, deploying, and serving models at scale. It offers GPU workspaces, managed clusters, fractional pay‑as‑you‑go GPU capacity, inference APIs, serverless deployment, security, and integration with LitServe, LitGPT, and LLMs.

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.

Wafer AI is a serverless inference platform that lets you run open-source LLMs in production with OpenAI-compatible APIs. It offers dedicated endpoints with optimized performance, long-context support, and caching to reduce costs for coding, reasoning, and agent workloads.

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 suppor

Trooper.AI provides private EU-hosted bare-metal GPU servers for model training, fine-tuning, and inference, with one-click AI environment templates, full root SSH and NVMe storage, tested CUDA on Ubuntu 22.04, scalable hardware and pause/upgrade controls.

canirun.ai is a searchable database mapping AI models to compatible hardware, listing CPUs/GPUs (including Apple M-series and NVIDIA cards), model requirements, VRAM/memory needs, filters and comparisons to plan local inference, fine-tuning, or deployment.

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.

Runpod supplies on‑demand GPUs in 31 regions, offering single‑node pods, multi‑node clusters, and serverless workloads. It delivers low‑latency inference, efficient fine‑tuning, instant scaling, S3‑compatible storage, real‑time logs, and sub‑200 ms cold starts.

Ministral WebGPU optimizes machine learning applications by utilizing enhanced graphics processing power. It supports various app files, enabling efficient collaboration and development, with an intuitive interface suitable for both beginners and experienced practitioners.

Cloud GPU rental platform offering on-demand VMs and bare-metal servers with A100/H100/RTX4090 and other GPUs, configurable vRAM/vCPU, persistent volumes, spot instances, and API-driven provisioning for training, inference, rendering, and HPC workloads.

Float16.cloud delivers AI‑as‑a‑Service, platform, and infrastructure through instant, ready‑to‑use models accessed via a dashboard or API. It offers dedicated GPUs, 1‑second cold starts, Jupyter notebooks, credit‑based quotas, and dynamic scheduling for training, inference, and batch processing.

Scale your AI projects affordably with Salad's GPU Cloud service. Access over 10,000 GPUs for generative AI tasks like generating 9 million+ images in just 24 hours at a starting price of $0.02/hr. Salad offers fully managed services like the Salad Container Engine, Salad Gateway Service, and Virtua

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.

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

Massed Compute delivers on‑demand GPU/CPU resources via API and desktop interface, supporting NVIDIA A100/H100/L40/A6000 GPUs and custom clusters. Bare‑metal servers provide direct physical access, while an Inventory API streamlines instance management in a Tier III data‑center with expert support.

Cirrascale offers a private AI cloud that supports training and inference on AMD, Cerebras, NVIDIA, and Qualcomm accelerators. It provides zero DevOps, no data‑transfer fees, high‑bandwidth networking, and configurable multi‑GPU servers, streamlining workflows and accelerating deployment.

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

Thunder Compute is a cloud-based platform that provides easy access to network-attached GPUs for AI and machine learning projects. It enables swift model deployment, efficient scaling, and minimizes idle GPU costs through streamlined infrastructure management.

Use.ai is an AI Workspace platform unifying access to over 25 AI models including ChatGPT, Claude, and Gemini, offering a single interface for versatile AI applications and seamless model switching.

NVIDIA AI Workbench unifies building, training, and deploying AI models on NVIDIA GPUs. It integrates Jupyter, preconfigured libraries, Docker, automatic GPU allocation, multi‑node scaling, and real‑time monitoring, supporting TensorFlow, PyTorch, and Hugging Face.

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.

RunningHub is a cloud IDE for ComfyUI workflows, enabling in‑browser design, editing, and GPU‑accelerated execution. It offers pre‑installed nodes, access to major diffusion and video models, training tools, API integration, and real‑time collaboration.

Deepswapai.io is a GPU-accelerated AI face-swap platform that processes photos, GIFs, and videos with automatic facial landmark detection and reference-face mapping for up to 6 faces per scene. It delivers HD/4K outputs with frame-stabilization, batch processing (e.g., a 1-minute video in ~10 second

UniFab AI enhances video and audio with AI: upscales to 16K 120fps, denoises, colorizes black‑and‑white, sharpens faces, converts formats, upmixes to surround sound, removes vocals, and supports batch GPU‑accelerated processing for creators and archivists.

Compact edge platform featuring the Hailo‑8 accelerator for up to 83 TOPs. Supports USB, PCIe, Ethernet, and GPIO; runs Linux ≥ 6.18 with drivers, enabling rapid AI deployment for real‑time inference in automotive, security, and industrial inspection.

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

RightNow AI is an AI-powered code editor for CUDA development, offering real-time GPU monitoring, inline profiling, and support for local LLMs. It enhances performance analysis and optimization for high-performance computing applications.

Inferless is a serverless platform for deploying machine learning models seamlessly. It offers automatic load balancing, custom runtime environments, and automated CI/CD workflows, minimizing infrastructure management while scaling efficiently from single to millions of requests.

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.

TensorPix enhances SD video to 4K 60FPS, removes artifacts from VHS and old footage, offers real‑time call improvement, batch processing, API integration, and cloud GPU processing—no local install needed.

Denvr is a sovereign AI cloud and private platform on Canadian/US infrastructure, providing on-demand and reserved GPU compute (NVIDIA H200/H100/A100, Intel Gaudi2), scalable InfiniBand clusters, OpenAI-compatible inference endpoints, NVMe storage, secure networking, and developer APIs.

Tensordock provides cloud GPU services for AI workloads, featuring on-demand Nvidia H100, A100, and RTX 4090 GPUs. It supports rapid deployment, extensive documentation, and efficient management of virtual environments for diverse applications.

LearnFast AI offers a 24/7 instant solver for physics and math problems, providing step‑by‑step solutions using GPT‑4o. It handles calculations, text, and image inputs, supporting students, tutors, and lifelong learners with flexible submission options.

ComfyOnline lets users run ComfyUI workflows online, automatically installing dependencies and models. It auto‑generates APIs for image, video, audio, and text generation, supports advanced services, LLMs, custom nodes, and scales with traffic.

DeepAI offers browser‑based AI tools for text‑to‑image, photo editing, background removal, super‑resolution, and video/musical generation, plus APIs for integration. It prioritizes user ownership, privacy, fast processing, and supports conservation research via object detection and habitat mapping.

math-gpt.ai is an AI math solver and tutor that provides step-by-step solutions and concept explanations for algebra, calculus, statistics, and more. It accepts photo, file, and typed inputs to solve equations, integrals, and derivatives using symbolic and numeric methods.

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.

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.

Foundry Local runs AI models on-device using ONNX Runtime (CPU/GPU/NPU) to keep data local, offering an OpenAI-compatible API, Python/JS/C#/Rust SDKs, a model hub, and CLI tools for edge and enterprise deployments.

Atlas Cloud AI is a full-modal AI platform offering unified API access for generating text-to-image, text-to-video, image-to-video, and audio content through a single integration. It provides developers with a model catalog, reference-based editing, and production-ready outputs including 4K resoluti

A stable web UI for Diffusion with advanced features and ongoing development.

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

Apiframe is a unified REST API for AI media generation that standardizes access to image, video, music and headshot models (Midjourney, Luma, DALL·E, Runway), offering async jobs, webhooks, batching, CDN hosting, workflow chaining and integrations for scalable pipelines.

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.

Genspark unifies inbox, workflows, and collaboration into one AI workspace, offering a 1‑million‑token context window, voice‑to‑text, auto‑meeting notes, and Chrome extensions for instant summarization and task automation across WhatsApp, Slack, and Teams.