…developer page . At CES 2023, NVIDIA Maxine announced SDK updates and new microservices, enabling clear communications in video conferences through private or public clouds. NVIDIA Maxine is a suite of GPU-accelerated…
…Before NVIDIA, he held roles developing, breaking, and fixing AI solutions in the enterprise tech sector. He also did research in medical imaging and holds a master’s degree in Computer Science…
…Video Effects SDK, Audio Effects SDK, and AR SDK, with GPU-accelerated state-of-the-art AI features that are developed through hundreds of thousands of training hours. With the Maxine Video…
…By leveraging RAPIDS cuML, a GPU-accelerated machine learning library, with skforecast, the same forecast can be completed in just 103 seconds on an NVIDIA H100 GPU, achieving a 25x speedup with…
…Guaranteed capacity Subscription options provide guaranteed capacity without resource limits, enabling large-scale, long-lived simulations from pre-provisioning to decommission. Unified account setup Integrated with NVIDIA GPU Cloud , organizations and teams…
…Designing a core for maximum single-threaded agentic performance Olympus was developed through extreme co-design across the Vera Rubin platform, spanning CPUs, GPUs, networking, storage, memory systems, and software. This system…
…enterprises will only be realized by leveraging the power of AI. This is becoming increasingly clear and is catalyzing greater collaboration between AI and quantum experts. Effective AI for quantum development requires…
…He brings full-stack GPU expertise spanning from chip design, CUDA and kernel-level development to server and cloud for model training and inference, translating innovations into real-world impact. Before NVIDIA…
…He brings a wealth of experience at the intersection of AI infrastructure, distributed training, GPU-accelerated computing and cloud-native MLOps—translating cutting-edge research into practical insights for developers, enterprise teams…
…Leveraging CUDA and TensorRT, a unified GPU programming model spans both cloud and embedded environments, ensuring consistency from development to deployment. Models are further optimized— through techniques such as quantization and pruning…