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Showing 4 open source projects for "gpu max performance"

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1

Beta9

Run serverless GPU workloads with fast cold starts on bare-metal

beta9 is a platform that enables running serverless GPU workloads with fast cold starts on bare-metal servers globally. It allows developers to deploy and scale GPU-accelerated applications without managing underlying infrastructure, offering flexibility and efficiency for AI and high-performance computing tasks. beta9 supports various frameworks and provides tools for monitoring and managing deployments effectively.

Downloads: 1 This Week

Last Update: 2026-03-11
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2

Kubeflow Trainer

Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

...One of its key innovations is the integration of MPI-based distributed computing within Kubernetes, allowing efficient communication between nodes for high-performance training. It also includes advanced scheduling capabilities through integrations with tools like Kueue and Volcano, enabling topology-aware resource allocation and multi-cluster job orchestration.

Downloads: 0 This Week

Last Update: 2026-03-20
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3

LLaMA.go

llama.go is like llama.cpp in pure Golang

llama.go is like llama.cpp in pure Golang. The code of the project is based on the legendary ggml.cpp framework of Georgi Gerganov written in C++ with the same attitude to performance and elegance. Both models store FP32 weights, so you'll needs at least 32Gb of RAM (not VRAM or GPU RAM) for LLaMA-7B. Double to 64Gb for LLaMA-13B.

Downloads: 0 This Week

Last Update: 2023-08-25
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4

MLPACK C++ machine learning library

MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack

Downloads: 0 This Week

Last Update: 2023-06-28
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