Performance Intensive Computing

Accelerate HPC and AI workloads with the combined power of CPU and GPU compute. 

The Student Cluster Computing challenge made its 16th appearance at the SuperComputer 22 (SC22) event in Dallas. The two student teams that were running AMD EPYC™ CPUs and AMD Instinct™ GPUs were the two teams that aced the Linpack benchmark. That's the test used to determined the TOP500 supercomputers in the world.

AI architecture must scale effectively without sacrificing cost efficiency. One size does not fit all.

Eliovp, which brings together computing and storage solutions for blockchain workloads, rewrote its code to take full advantage of AMD’s Instinct™ MI100 and MI250 GPUs. As a result, Eliovp’s blockchain calculations run up to 35% faster than what it saw on previous generations of its servers.

Azure HBv3 series virtual machines (VMs) are optimized for HPC applications, such as fluid dynamics, explicit and implicit finite element analysis, weather modeling, seismic processing, and various simulation tasks. HBv3 VMs feature up to 120 Third-Generation AMD EPYC™ 7v73X-series CPU cores with more than 450 GB of RAM.

Using six nanometer processes and the CDNA2 graphics dies, AMD has created the third generation of GPU accelerators, which have more than twice the performance of previous GPU processors and deliver 181 teraflops of mixed precision peak computing power.

The Lawrence Livermore National Lababoratory chose to use a cluster of 120 servers running AMD EPYC™ processors with nearly 1,000 AMD Instinct™ GPU accelerators. The hardware, facilitated by Supermicro, was an excellent match for the molecular dynamics simulations required for the Lab's cutting-edge research, which combines machine learning with structural biology concepts.