View reference architectures Driving green innovation with HPC Geely Auto R&D deployed a high-performance computing platform based on Lenovo ThinkSystem SR670 servers with Lenovo Neptune™ water cooling—boos
The continuing explosive growth of AI model size and complexity means the appetite for more powerful compute solutions continues to accelerate rapidly. NVIDIA is introducing HGX-2, our latest, most powerful cloud server platform for AI and High-Performance Computing (HPC) workloads, to meet these n...
High-performance computing (HPC)GPU computingDistributed memory parallelismAccelerator architectureDomain-specific language (DSL)Rapidly changing heterogeneous supercomputer architectures pose a great challenge to many scientific communities trying to leverage the latest technology in high-performance computing. Many...
By simplifying the adoption and deployment of HPC, we enable companies to leverage the full potential of scalable computing power, allowing them to run complex simulations more efficiently and cost-effectively. With Ansys Cloud solutions, you can rapidly access public computing resources to power your...
-generation HPC systems are raising the bar for computing and memory performance and I/O while drawing from the cloud to deliver a new level of flexibility. Meanwhile, support for a diverse range of architectures and compute models requires developers to embrace unified and open programming models...
Intel offers a comprehensive set of hardware and software tools and partner solutions to handle demanding HPC and AI workloads and ever-increasing dataset sizes. The Intel® HPC portfolio is already optimized for the most-popular AI models and frameworks to help maximize your systems for new use...
Take advantage of built-in autoscaling and battle-tested reference architectures for a wide range of HPC workloads and industries Hybrid / cloud bursting model In this Hybrid example diagram, we can see clearly how these services are distributed between the cloud and the on-premises environment. ...
Take advantage of built-in autoscaling and battle-tested reference architectures for a wide range of HPC workloads and industries In this Hybrid example diagram, we can see clearly how these services are distributed between the cloud and the on-premises environment. Having the opportunity to run ...
Performance models help expose bottlenecks and predict suitable tuning parameters in order to boost stencil performance on any given platform. To achieve that, the following two considerations need to be accurately modeled: first, modern architectures, such as Intel Xeon Phi, sport multi or many-...
Heterogeneous HPC servers use GPUs for accelerated computing and multicore CPUs based on the x86-64 or Arm instruction set architectures. NVIDIA HPC compilers and tools are supported on all of these CPUs, and all compiler optimizations are fully enabled on any CPU that supports them. With uniform...