| 10/05 | 8 |
Tooling for optimized, validated, reproducible GPU-accelerated Kubernetes clusters via version-locked recipes and deployment-ready bundles.
|
| 10/05 | 7 |
Cross-platform remediation service detecting, classifying, and automatically resolving runtime GPU node faults in Kubernetes clusters.
|
| 10/02 | 7 |
AI agent builder that creates sandboxed agents using microVMs to install software, run code, and access GPU from your app.
|
| 10/07 | 6 |
Fast language focused on enforcing application laws through formal proofs and compiling to high-performance executables.
|
| 10/06 | 6 |
TypeScript library enhancing the WebGPU API for type-safe resource management.
|
| 10/02 | 6 |
GPU-focused monitoring and diagnostics tool that detects GPU and fabric errors and reports critical system metrics.
|
| 10/05 | 5 |
Platform for deploying, managing, and running GPU-accelerated inference, streaming, and batch workloads across worker clusters.
|
| 09/30 | 5 |
Kubernetes operator managing self-hosted LLM inference on NVIDIA GPUs and Apple Silicon, with autoscaling, model routing, and OpenAI-compatible API.
|
| 10/10 | 4 |
Self-hosted retrieval-augmented generation engine that keeps all document processing and answering offline on a single binary, with cited sources.
|
| 10/05 | 3 |
Kubernetes API providing a single declarative interface to orchestrate multi-node AI inference with topology-aware placement, hierarchical gang scheduling, and autoscaling.
|