What's the Computing Difference Between a TeraFLOPS and a PetaFLOPS?
From teraflops to petaflops—unraveling the significance of floating-point operations in high-performance computing and how Radix Square enables organizations to harness their full potential.
Choosing the Right NVIDIA GPU for High-Performance Computing
Explore the differences between NVIDIA's H200 NVL 141GB Air Cool and H100 NVL 94GB Passive Cooling GPUs. Learn how memory capacity, cooling systems, and performance benchmarks play a crucial role in optimizing your high-performance computing and AI workloads.
Understanding Parallel Computing, GPUs, and Building a Linux-based HPC Server
Parallel computing allows us to solve problems faster by dividing the work among multiple processors. This is especially useful for tasks involving large amounts of data or complex calculations. Learn about the different types of parallel computing, the role of GPUs, and follow a detailed step-by-step guide to building a Linux-based HPC server
What is High-Performance Computing (HPC)?
High-Performance Computing (HPC) leverages clusters of powerful processors to process large, complex data sets and solve intricate problems at incredibly high speeds. This comprehensive guide covers the basics of HPC, its key technologies, use cases, and detailed steps to build HPC software and hardware. Learn how massively parallel computing, GPUs, NPUs, and other advanced technologies drive the performance of HPC systems, and discover the requirements and best practices for setting up your own HPC infrastructure.