eBPF Observability - Distributed Tracing and Profiling
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Updated
Nov 7, 2025 - Go
eBPF Observability - Distributed Tracing and Profiling
NVIDIA GPU Operator creates, configures, and manages GPUs in Kubernetes
Distributed AI Model Training and Fine-Tuning on Kubernetes
Ultrafast serverless GPU inference, sandboxes, and background jobs
eBPF based always-on CPU/GPU profiler auto-discovering targets in Kubernetes and systemd, zero code changes or restarts needed!
Module to Automatically maximize the utilization of GPU resources in a Kubernetes cluster through real-time dynamic partitioning and elastic quotas - Effortless optimization at its finest!
Juice Community Version Public Release
Prophecis is a one-stop cloud native machine learning platform.
Go library for embedded vector search and semantic embeddings using llama.cpp
GPUd automates monitoring, diagnostics, and issue identification for GPUs
phi: gpu accelerated code-editor; definitely not to be confused phonetically with vi.
☁️ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes
On-demand transcoding origin server for live inputs and static files in Go using ffmpeg. Also with NVIDIA GPU hardware acceleration.
NVIDIA GPU Prometheus Exporter
A cross-platform go bot that tracks for availability of stock from Nvidia's store and adds a cart to your checkout.
Using CRDs to manage GPU resources in Kubernetes.
Add a description, image, and links to the gpu topic page so that developers can more easily learn about it.
To associate your repository with the gpu topic, visit your repo's landing page and select "manage topics."