Using the famous cnn model in Pytorch, we run benchmarks on various gpu.

Z-AI V1.4 发行版本

A kubernetes operator for managing nvidia MIG instances.

Remove Backgroud from a video 🧤🎥

Dataset and code for "Coarse-Grained Density Functional Theory Predictions via Deep Kernel Learning"

Implement named entity recognition (NER) using regex and fine-tuned LLM, with a total of 15 categories. The ultimate goal is to apply the model to detect personally identifiable information (PII) in student writing.

ClusterOps is an enterprise-grade Python library developed and maintained by the Swarms Team to help you manage and execute agents on specific CPUs and GPUs across clusters. This tool enables advanced CPU and GPU selection, dynamic task allocation, and resource monitoring, making it ideal for high-performance distributed computing environments.

Text to Image Gen [ Demo ]

Found out that using A100 and V100 on Vicuna and Llama2 have a different result, while other model such as Falcon doesn't has such question.

Implementing science-related multiple-choice question answering based on LLMs and RAG.

Transformer implementation in pytorch trained on NVIDIA A100 in fp16

Performance of CUDA example benchmark code on NVIDIA A100.

Analyze a dataset of conversations from the Chatbot Arena, where various LLMs provide responses to user prompts. The goal is to develop a model that enhances chatbot interactions, ensuring they align more closely with human preferences.

NVIDIA GPU Instance installer for docker container runtime access and preinstall script environment

When you only have limited amount of GPU workstation and using it together, reservation is better done with this.