ALCF computing resources support large-scale, computationally intensive projects aimed at solving some of the world's most complex and challenging scientific problems.
Theta/ThetaGPU
Our Theta/ThetaGPU supercomputer supports complex and diverse workloads involving simulation, data analytics, AI, and machine learning.
Theta KNL Nodes
Theta is an 11.7-petaflops supercomputer based on Intel processors and interconnect technology, an advanced memory architecture, and a Lustre-based parallel file system, all integrated by Cray’s HPC software stack.
Theta GPU Nodes
ThetaGPU is an NVIDIA DGX A100-based system. The DGX A100 comprises eight NVIDIA A100 GPUs that provide a total of 320 gigabytes of memory for training AI datasets, as well as high-speed NVIDIA Mellanox ConnectX-6 network interfaces.
Theta KNL Machine Specs
Architecture
Intel-Cray XC40
Speed
11.7 petaflops
Processor per node
64-core, 1.3-GHz Intel Xeon Phi 7230
Nodes
4,392
Cores
281,088
Memory
843 TB
High-bandwidth memory
70 TB
Interconnect
Aries network with Dragonfly topology
Racks
24
ThetaGPU Machine Specs
Architecture
NVIDIA DGX A100
Speed
3.9 petaflops
Processors
AMD EPYC 7742
Nodes
24
DDR4 Memory
26 TB
GPU Memory
8,320 GB
Racks
7
