#high-performance-computing

#high-performance-computing

Nvidia revolutionized GPUs, AI, and high-performance computing, impacting various sectors and leading the ongoing AI revolution.

AI is transforming data center infrastructure, requiring a shift from CPU-centric designs to GPU and specialized hardware to handle complex workloads effectively.

Chinese tech giants have launched GSE Ethernet to optimize networking for AI workloads, aiming to enhance performance and reduce latency.

AMD is positioning itself as a leader in high-performance computing, leveraging momentum from competitor challenges and AI investments.

AWS has launched EC2 P5e instances with enhanced NVIDIA H100 GPUs, improving performance and scalability for AI and HPC applications.

Hewlett Packard Enterprise (HPE) delivers the second fastest AI-capable supercomputer, Aurora, in collaboration with Intel for the US Department of Energy, enabling generative AI models for scientific discovery.

Nvidia collaborates with Foxconn to build Taiwan's most powerful AI supercomputer, exceeding 90 exaFLOPS.

NVIDIA's H200 NVL AI accelerator is a key advancement in GPU technology for scientific research and enterprise, set for release in December 2024.

HPE launches a powerful portfolio for high performance computing with new hardware and Slingshot interconnect, enhancing compute-intensive workload management.

Nvidia unveils AI tools to accelerate real-time simulations in various fields, enhancing efficiency in high-performance computing tasks.

Nvidia's energy-efficient supercomputers are leading the Green500 ranking, but future chips may not sustain this efficiency due to increased power usage.

El Capitan system at Lawrence Livermore National Lab surpasses Frontier to become the fastest supercomputer, achieving 1.74 exaFLOPS.

It plays a crucial role in maintaining the safety and reliability of the U.S. nuclear stockpile.

ORNL partners with Quantum Brilliance to enhance its supercomputing capabilities using hybrid quantum-classical technologies.

Isambard 2's retirement marks a transition to Isambard 3 and highlights uncertainties in funding for UK supercomputing.

Dell introduces products addressing challenges for companies adopting generative AI at a key conference, focusing on data quality, cost, and sustainability.

HPE CEO Antonio Neri discusses the rise of Generative AI and HPE's readiness for this transformational technology.

AWS Parallel Computing Service simplifies the management of HPC clusters, greatly reducing the time required for complex scientific computations.

Microsoft's Azure Quantum integrates quantum computing with AI and classical supercomputing to solve complex scientific problems using logical qubits.

Oxide Computing's innovative servers will enhance LLNL's capabilities in high-performance computing, focusing on user-centered cloud services.

Amazon is providing 40,000 Trainium chips to support AI research, aiming to boost performance and open-source advancements in machine learning.

Linux is the leading operating system for supercomputers due to its scalability, flexibility, and community-driven innovation.

Iridis 6 enhances HPC capabilities for research at the University of Southampton, focusing on sustainability and advanced computational performance.

The Wellcome Sanger Institute reduced energy use by 33% while enhancing computational output by 50% through technological upgrades.

Advanced management systems and high-performance computing have been vital for the institute's genomic research efficiency.

Optiver partners with AMD for high-performance compute engines to enhance data center infrastructure.

AMD receives the 2024 Corporate Innovation Award from IEEE for its chiplet architecture designs in high-performance computing (HPC).

Meshcapade is a 3D digital human company that creates realistic human avatars for various industries.

They are seeking a skilled High-Performance Computing Engineer to develop and maintain their GPU HPC systems.

AI startup Quilter has raised $10 million in series-A funding to improve the process of designing printed circuit boards (PCBs) using machine learning and high-performance computing.

Quilter aims to make PCB design more efficient and accurate by automating the layout process, condensing weeks of work into just hours.

The company's machine learning platform can produce a complete PCB design at a fraction of the cost of outsourcing the work to a third party.