AI
Artificial Intelligence (AI), a branch of computer science, is concerned with developing computers capable of doing tasks that would typically need human intelligence. Such tasks include learning from and adjusting to new facts or situations, reading human language, discovering patterns, problem-solving, and decision-making.
NVIDIA CUDA 13.5 Introduz Atualizações de Vera Rubin GA e Agendamento de GPU
NVIDIA CUDA 13.5 traz a plataforma Vera Rubin para disponibilidade geral, adiciona aprimoramentos de agendamento de GPU e suporta Windows on Arm para DGX Station.
Kimi K3.1 Pro de Moonshot AI déployé sur des GPU AMD Instinct MI355X
Kimi K3.1 Pro de Moonshot AI, un modèle de 2.8T paramètres, est déployé sur des GPU AMD Instinct MI355X avec support ATOM et vLLM pour des tâches d'IA multimodales.
Moonshot AI's Kimi K3.1 Pro Deployed on AMD Instinct MI355X GPUs
Moonshot AI's Kimi K3.1 Pro, a 2.8T-parameter model, is deployed on AMD Instinct MI355X GPUs with ATOM and vLLM support for multimodal AI tasks.
Kimi K3.1 Pro von Moonshot AI auf AMD Instinct MI355X GPUs bereitgestellt
Der Kimi K3.1 Pro von Moonshot AI, ein Modell mit 2.8T Parametern, wird auf AMD Instinct MI355X GPUs mit ATOM- und vLLM-Unterstützung für multimodale KI-Aufgaben bereitgestellt.
Kimi K3.1 Pro от Moonshot AI развернут на AMD Instinct MI355X GPU
Kimi K3.1 Pro от Moonshot AI, модель с 2.8T параметрами, развернута на AMD Instinct MI355X GPU с поддержкой ATOM и vLLM для мультимодальных AI задач.
문샷 AI의 Kimi K3.1 Pro가 AMD Instinct MI355X GPU에 배포됨
문샷 AI의 Kimi K3.1 Pro는 2.8T-매개변수 모델로, 멀티모달 AI 작업을 위한 ATOM 및 vLLM 지원과 함께 AMD Instinct MI355X GPU에 배포되었습니다.
Kimi K3.1 Pro de Moonshot AI implementado en GPUs AMD Instinct MI355X
Kimi K3.1 Pro de Moonshot AI, un modelo de 2.8T parámetros, está implementado en GPUs AMD Instinct MI355X con soporte ATOM y vLLM para tareas de IA multimodal.
Kimi K3.1 Pro da Moonshot AI Implantado em GPUs AMD Instinct MI355X
Kimi K3.1 Pro da Moonshot AI, um modelo com 2.8T parâmetros, é implantado em GPUs AMD Instinct MI355X com suporte a ATOM e vLLM para tarefas de IA multimodal.
AMD Showcases AI Advancements at PyTorch Conference 2026
AMD highlighted AI training, inference, and performance optimization at PyTorch Conference 2026, emphasizing ROCm software and PyTorch integration.
AMD、PyTorchカンファレンス2026でAIの進展を発表
AMDは、PyTorchカンファレンス2026でAIの学習、推論、およびパフォーマンスの最適化を強調し、ROCmソフトウェアとPyTorchの統合について説明しました。