NVIDIA GPUS
Revolutionizing AI Performance: Top Techniques for Model Optimization
Discover the top AI model optimization techniques like quantization, pruning, and speculative decoding to enhance performance, reduce costs, and improve scalability on NVIDIA GPUs.
Reducing AI Inference Latency with Speculative Decoding
Explore how speculative decoding techniques, including EAGLE-3, reduce latency and enhance efficiency in AI inference, optimizing large language model performance on NVIDIA GPUs.
Together AI Launches Instant Clusters with NVIDIA GPU Support
Together AI announces the general availability of Instant Clusters, providing self-service NVIDIA GPU clusters for rapid AI training and inference, enhancing scalability and efficiency.
NVIDIA GPUs Revolutionize Quantum Dynamics Simulations
Researchers utilize NVIDIA GPUs to enhance quantum dynamics simulations, overcoming computational challenges and enabling advancements in quantum computing and material science.
Luminary Cloud Accelerates Engineering Simulations with NVIDIA GPUs
Luminary Cloud leverages NVIDIA GPUs to speed up engineering simulations, addressing industry challenges and enhancing productivity.
Microsoft Develops Secret AI Chips to Reduce Development Costs
Microsoft has been developing its own AI chips since 2019 to reduce reliance on Nvidia’s GPUs due to rising costs. The project, called “Athena,” is already being tested by Microsoft’s machine-learning staff and OpenAI developers.