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It is a cloud computing platform, primarily designed for AI and machine learning applications. The key offerings include GPU Instances, Serverless GPUs, and AI Endpoints. It is committed to making cloud computing accessible and affordable. | JarvisLabs is a GPU cloud platform used by AI teams, research labs, and universities to train, fine-tune, and deploy deep learning models. Access NVIDIA H100, H200, A100, and L4 GPUs on-demand with per-minute billing, persistent storage, and pre-configured ML environments. Trusted by 1000+ teams across startups, enterprises, and academic institutions. Multi-region availability with dedicated datacenter infrastructure and 99.5% uptime SLA. |
Develop, train, and scale AI models;
Launch a GPU instance in seconds;
Scale inference on your models with Serverless;
Cost-effective GPU cloud platform built for production | GPU Cloud, AI Infrastructure, Machine Learning, Deep Learning, Model Training, LLM Fine-Tuning, Cloud GPU, MLOps, AI/ML Platform, NVIDIA H100 |
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The Docker Platform is the industry-leading container platform for continuous, high-velocity innovation, enabling organizations to seamlessly build and share any application — from legacy to what comes next — and securely run them anywhere

LXD isn't a rewrite of LXC, in fact it's building on top of LXC to provide a new, better user experience. Under the hood, LXD uses LXC through liblxc and its Go binding to create and manage the containers. It's basically an alternative to LXC's tools and distribution template system with the added features that come from being controllable over the network.

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Vagrant Cloud pairs with Vagrant to enable access, insight and collaboration across teams, as well as to bring exposure to community contributions and development environments.

Managed cloud render farm for Blender and automated rendering workflows.

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Is a training API for researchers and developers.