| 08/05 | 9 |
GPU.js is a JavaScript GPGPU library that transpiles simple functions into GPU shader code and runs them with CPU fallback when needed.
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| 08/21 | 8 |
Automates installation and lifecycle management of GPU drivers, container runtimes, and monitoring on Kubernetes nodes.
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| 08/12 | 8 |
TypeScript library enhancing the WebGPU API for type-safe resource management.
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| 08/03 | 8 |
WebGPU-based TypeScript charting library for high-performance, smooth interactive charts with large datasets.
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| 08/24 | 7 |
Tooling for optimized, validated, reproducible GPU-accelerated Kubernetes clusters via version-locked recipes and deployment-ready bundles.
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| 08/24 | 7 |
Cross-platform remediation service detecting, classifying, and automatically resolving runtime GPU node faults in Kubernetes clusters.
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| 08/22 | 7 |
Operator automating AI/ML model inference and tuning workloads in Kubernetes clusters with GPU auto-provisioning and large model management.
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| 08/18 | 7 |
Component that discovers cluster physical network topology and exposes it to schedulers for topology-aware scheduling.
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| 08/13 | 7 |
Pure Go GPU computing ecosystem offering WebGPU-compatible APIs with selectable Rust or native backends and zero CGO.
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| 08/10 | 7 |
Pure Go WebGPU implementation providing W3C-compliant API and multiple hardware backends without Rust or CGO.
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| 08/10 | 7 |
State-of-the-art GPU virtualization and pooling solution that optimizes GPU cluster utilization.
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| 08/24 | 6 |
Platform for deploying, managing, and running GPU-accelerated inference, streaming, and batch workloads across worker clusters.
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| 07/28 | 6 |
GPU-focused monitoring and diagnostics tool that detects GPU and fabric errors and reports critical system metrics.
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| 08/04 | 5 |
Browser-based video compositor with multi-track timeline, real-time GPU effects, keyframe animation, AI controls, and live performance output.
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| 08/23 | 4 |
Self-hosted retrieval-augmented generation engine that keeps all document processing and answering offline on a single binary, with cited sources.
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| 08/20 | 4 |
Kubernetes operator managing self-hosted LLM inference on NVIDIA GPUs and Apple Silicon, with autoscaling, model routing, and OpenAI-compatible API.
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| 08/16 | 3 |
Fast serverless runtime for GPU inference, isolated sandboxes, and scalable background jobs.
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