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A high-performance inference API for chat, vision, image, audio, video, and embeddings based on open-source models.
Self-service NVIDIA GPU clusters designed for intensive AI computing and training tasks.
A platform to train open-source models for production environments using Supervised Fine-Tuning or Direct Preference Optimization.
A secure execution environment for LLM-generated code using customizable VM sandboxes and APIs.
A lightweight inference engine supporting speculative speculative decoding (SSD).
XoRL Client
XoRL
VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo
NCCL Tests
DGXC Benchmarking provides recipes in ready-to-use templates for evaluating performance of specific AI use cases across hardware and software combinations.
New state-of-the-art bounds for open problems
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