From NVIDIA: 2024-05-13 02:00:30

NVIDIA introduces Blackwell platform advancements at GTC, offering generative AI at a fraction of the cost and energy consumption of previous architectures, benefiting scientific computing simulations and AI workloads across various applications.
Blackwell GPUs enhance FP64 and FP32 performance, supporting critical physics-based simulations that optimize product development processes and yield significant cost savings for researchers and developers.
Cadence software, when paired with Blackwell GPUs, shows impressive speed improvements in analog circuit design and computational fluid dynamics simulations, offering engineers innovative tools to enhance product performance and design efficiency.

The NVIDIA GB200 architecture presents new opportunities for high-performance computing, enabling LLMs to process vast amounts of scientific data with a 30x speedup compared to previous generations, revolutionizing parallel code generation for HPC applications with advanced AI techniques like RAG.
Quantum computing advances are driven by NVIDIA CUDA-Q platform, accelerating quantum simulations and hybrid application development that benefit quantum chemistry, nuclear physics, and other research areas in partnership with industry leaders like BASF and Stony Brook.
Blackwell architecture harnesses NVLink technology to bolster quantum simulation capabilities, further accelerating data analytics performance with RAPIDS and a new hardware decompression engine that speeds up data processing for scientific breakthroughs.

NVIDIA’s Quantum-X800 InfiniBand networking platform pushes scientific computing infrastructure to new heights, delivering double the bandwidth and significant energy efficiency improvements to reduce workload completion time and energy consumption. Learn more about the cutting-edge advancements of NVIDIA’s Blackwell architecture in driving scientific computing breakthroughs.



Read more at NVIDIA: NVIDIA Blackwell Platform Pushes the Boundaries of Scientific Computing