Real-time data movement platform: streaming, log-based CDC and batch through 200+ managed connectors, sub-100ms latency.
Results for “cloud”
497 tools found
Deployment orchestration that picks up where CI stops: promotes releases across environments, multi-tenant, with runbooks.
Serverless cloud platform that runs Python code, including AI model training and inference, on GPUs with sub-second startup and pay-per-second billing.
Kafka-compatible streaming platform that runs diskless on cloud object storage (S3/GCS/Azure Blob), cutting Kafka's infrastructure cost sharply while keeping full API compatibility.
Sandboxed cloud execution infrastructure for AI agents to safely run code in under 90ms, across Python, TypeScript, Go, Ruby and Java.
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".
Cloud infrastructure for running autonomous AI agents at scale, with millisecond sandbox startup and near-zero idle cost.
Cloud infrastructure of real, headless browsers that AI agents can control to browse, click and fill out forms like a human would.
Edge orchestration platform that remotely manages, secures and updates AI inference and applications across thousands of distributed edge devices.
Enterprise cloud built specifically around NVIDIA GPUs, providing large-scale compute for training and running the biggest AI models.
GPU cloud built for AI research and production, scaling from a single rented GPU up to superclusters with over 165,000 GPUs.
Pay-by-the-second GPU cloud for training and running AI models, with no contracts and fast serverless cold starts.
Open-source tool that automatically finds and runs your AI training jobs on whichever cloud or cluster has the cheapest available GPUs.
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.
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 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.
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 cloud service that gives AI agents their own web browser to click, fill forms and scrape sites, so a developer doesn't have to run and babysit that browser themselves.
A cheap, on-demand virtual computer in the cloud that an AI coding agent can use to run code, install software and be reset or copied instantly, without you managing any servers.
A service that figures out the fastest, cheapest way to run an open-source AI model in production for you — picking the right GPU, serving engine and settings automatically — instead of you spending weeks tuning it yourself.