
1 - 10 employees
🤖 Artificial Intelligence
☁️ SaaS
Artificial Intelligence • SaaS • Cloud Computing
Prime Intellect is a company focused on democratizing AI development by providing scalable and decentralized computing resources for training models. Their platform allows users to find and share global compute resources, enabling the training of state-of-the-art models through distributed clusters. They promote the collective ownership of AI innovations, including language and scientific models. Prime Intellect also offers a range of GPU options to facilitate affordable and efficient model training. They aim to advance decentralized training research and open-source AI development on a global scale.
Selected: 🆕 Date Added.
🕒 September 18
Storage infrastructure engineer designing reliable, high-throughput systems for Prime Intellect’s frontier AI platform. Operating distributed storage for datasets, checkpoints, and model artifacts at GPU scale.
Kubernetes
Linux
Python
Go
🕒 September 18
Datacenter Operations specialist running GPU cloud infrastructure for Prime Intellect’s open frontier AI platform. Coordinating deployments, maintenance, hardware incidents, and production readiness.
🕒 September 18
Datacenter networking engineer designing high-performance GPU fabrics for Prime Intellect’s open AI platform. Operating Ethernet/RoCE and InfiniBand networks at frontier AI scale.
Ansible
Linux
Python
Switching
TCP/IP
🕒 April 14
First dedicated security hire responsible for building security practices at AI infrastructure company. Defining company-wide security strategy and collaborating with engineering and research teams.
Cloud
Distributed Systems
Google Cloud Platform
Kubernetes
Python
Rust
🕒 March 27
Research Engineer optimizing systems for large-scale reinforcement learning training infrastructure at Prime Intellect. Building an infrastructure that supports faster model training and deployment.
PyTorch
Ray
🕒 March 27
Research Engineer developing synthetic data generation and orchestration solutions for AI infrastructure. Collaborating on innovative reinforcement learning models and publishing findings in top-tier conferences.