| 08/21 | 8 |
Automates installation and lifecycle management of GPU drivers, container runtimes, and monitoring on Kubernetes nodes.
|
| 08/24 | 7 |
Tooling for optimized, validated, reproducible GPU-accelerated Kubernetes clusters via version-locked recipes and deployment-ready bundles.
|
| 08/24 | 7 |
Cross-platform remediation service detecting, classifying, and automatically resolving runtime GPU node faults in Kubernetes clusters.
|
| 08/22 | 7 |
Operator automating AI/ML model inference and tuning workloads in Kubernetes clusters with GPU auto-provisioning and large model management.
|
| 08/21 | 7 |
TypeScript library enhancing the WebGPU API for type-safe resource management.
|
| 08/18 | 7 |
Component that discovers cluster physical network topology and exposes it to schedulers for topology-aware scheduling.
|
| 08/24 | 6 |
Platform for deploying, managing, and running GPU-accelerated inference, streaming, and batch workloads across worker clusters.
|
| 08/23 | 5 |
Pure Go WebGPU implementation providing W3C-compliant API and multiple hardware backends without Rust or CGO.
|
| 08/26 | 4 |
GPU-focused monitoring and diagnostics tool that detects GPU and fabric errors and reports critical system metrics.
|
| 08/23 | 4 |
Self-hosted retrieval-augmented generation engine that keeps all document processing and answering offline on a single binary, with cited sources.
|
| 08/20 | 4 |
Kubernetes operator managing self-hosted LLM inference on NVIDIA GPUs and Apple Silicon, with autoscaling, model routing, and OpenAI-compatible API.
|
| 08/16 | 3 |
Fast serverless runtime for GPU inference, isolated sandboxes, and scalable background jobs.
|