Today, we’re announcing the general availability of H4D VMs, our latest high performance computing (HPC)-optimized VM, powered by the 5th Generation AMD EPYC™ processors. H4D VMs deliver exceptional performance, scalability, and value for industries like manufacturing, health care and life sciences, weather forecasting, and electronic design automation (EDA). H4D supports orchestration via Cluster Toolkit with Slurm and via Google Kubernetes Engine (GKE). Each approach allows for near-instant deployment and scaling of demanding workloads.
For the first time, the Google Cloud CPU portfolio features a VM family with Cloud Remote Direct Memory Access (RDMA). H4D’s RDMA is on the Titanium network adapter and lets you scale single-node H4D performance to multiple nodes, accelerating large production workloads.
Faster time to solution across domains and scales
Powered by the high core density of the 5th Gen AMD EPYC CPU and Google’s innovative, low-latency Falcon hardware transport, H4D VMs enable you to iterate and discover faster than ever before.
We demonstrated H4D performance through a series of industry-standard benchmarks, showing its capabilities across diverse domains and problem sizes.
Healthcare and life sciences
For researchers in healthcare and life sciences (HCLS), H4D VMs accelerate complex molecular simulations critical to scientific discovery. Compared to our previous C2D VMs, H4D VMs deliver up to a 4.3X speedup running LAMMPs (LJ benchmark) at 96 VMs, delivering 95% parallel efficiency on 18k cores. For drug discovery, we demonstrated a 5.8X speed-up using GROMACS (water_33m) at 32 VMs delivering 72% parallel efficiency on 6k cores. H4D also delivers further scalability, which we demonstrated by running the LAMMPS LJ benchmark on 192 VMs (~37k cores) while maintaining 92% parallel efficiency (see Figure 3).
Source Credit: https://cloud.google.com/blog/products/compute/h4d-vms-now-ga/
About the Author
