AI browser and assistant that can run over 169 different AI models directly on your device, so it keeps working offline and doesn't depend on one company's cloud model.
Results for “Confluent Cloud”
328 tools found
Identity governance platform that discovers, manages and secures every human and non-human identity (including AI agents) across a company's SaaS and cloud apps.
AI-powered procurement platform that negotiates and manages SaaS and cloud vendor contracts on a company's behalf, with pricing benchmarks across 32,000+ vendors.
AI platform (Imogen) that rewrites legacy mainframe systems — COBOL, CICS, DB2 — into modern cloud code by replicating exact behavior, not just translating syntax.
Cloud platform for running persistent AI agents (developer, QA, SRE personas) across a team's whole software development lifecycle, with shared memory and full session visibility.
Open-source on-device AI runtime that runs LLMs, vision models and speech models directly on phones, laptops and wearables — no cloud round-trip required.
A marketplace where anyone with a spare gaming or server GPU can rent it out, so AI developers get GPU compute at a fraction of the price big cloud providers charge — like Airbnb, but for graphics cards instead of spare rooms.
A control panel for getting AI models and agents from a developer's laptop into real production use — deployment, scaling, and governance — built to run on whichever cloud a company already uses instead of locking them into one.
Cloud API that turns a JSON description of a video — clips, text, transitions — into a rendered MP4, so apps can generate or personalize video automatically instead of a human editing it by hand.
A European, publicly-traded cloud built specifically for AI workloads — GPU clusters, training, inference — for companies that want serious AI compute without depending on a US hyperscaler.
Open-source tool that automatically finds and runs your AI training jobs on whichever cloud or cluster has the cheapest available GPUs.
Pay-by-the-second GPU cloud for training and running AI models, with no contracts and fast serverless cold starts.
GPU cloud built for AI research and production, scaling from a single rented GPU up to superclusters with over 165,000 GPUs.
Enterprise cloud built specifically around NVIDIA GPUs, providing large-scale compute for training and running the biggest AI models.
Cloud inference platform for running and fine-tuning open-source language models fast, without owning any GPUs.
Secure, disposable cloud sandboxes that let AI agents safely execute generated code without touching real production systems.
Cloud infrastructure of real, headless browsers that AI agents can control to browse, click and fill out forms like a human would.
Cloud infrastructure for running autonomous AI agents at scale, with millisecond sandbox startup and near-zero idle cost.
Gives AI coding agents disposable cloud Linux environments to actually run and test the code they write, capturing screenshots and recordings as proof instead of just claiming "done".
Open-source, client-only tool that creates reproducible development environments from a devcontainer.json file, running on Docker, Kubernetes or any cloud VM.