NVIDIA

RTX GPUs with Tensor Cores deliver up to 686 trillion AI ops/sec. New NPU offloads lightweight AI tasks. Systems run large language models 10-100x faster than CPUs.

Contextual AI's RAG 2.0 integrates retriever and generator, improving AI performance 10x. It processes diverse data types with lower compute needs.

NVIDIA's Q2 revenue hit $30B, up 122% year-over-year. Data centre sales soared 154% to $26.3B, driven by surging demand for AI computing.

NVIDIA's NIM Agent Blueprint integrates AI models for virtual drug screening, aiming to reduce development time and costs in pharmaceuticals.

This on-device AI model allows NPCs to provide quicker, more relevant responses in games. It runs locally on RTX PCs, enhancing player-character interactions.

NVIDIA's Mistral-NeMo-Minitron 8B model combines pruning and distillation to achieve high accuracy with 8B parameters, running on RTX workstations.