76 Red Hat OpenShift and IBM Cloud Paks on IBM Power Systems: Volume 1
5.1.3  Enterprise AI workloads
AI holds tremendous promise for facilitating digital transformations, accelerating innovation, 
enhancing the efficiency of internal processes, identifying new marketplace opportunities, 
and more. For organizations to take advantage of AI and cognitive technologies, such as 
machine learning and deep learning, they need powerful, accelerated servers that can handle 
these data-intensive workloads. 
Accelerated servers can also play a vital role in supercomputing. With the correct accelerated 
servers, researchers and scientists can explore more complex, data- intensive problems and 
deliver results faster than before.
The IBM Power Systems Accelerated Compute Server, as listed in Table 5-5, helps reduce 
the time to value for enterprise AI initiatives. The IBM PowerAI Enterprise platform combines 
this server with popular open source deep learning frameworks and efficient AI development 
tools to accelerate the processes of building, training, and inferring deep learning neural 
networks. By using PowerAI Enterprise, organizations can deploy a fully optimized and 
supported AI platform with blazing performance, proven dependability, and resilience. 
Table 5-5   IBM Power Systems - Accelerated Compute servers
Memory slots 32 16
Memory maximum 2 TB 2 TB
PCIe G4 slots 46
Supported operating system Linux Linux
Maximum storage 40 TB 120 TB
LC921 LC922
AC922
Key features /SM590000Unprecedented performance for modern AI, 
analytics, and HPC workloads
/SM590000Proven deployments from small clusters to 
the world’s largest supercomputers, with 
near-linear scaling
/SM590000Simple GPU acceleration
Machine type and model (MTM) 8335-GTH | 8335-GTX
Form factors 2U
Sockets 2
Microprocessors 2x POWER9 with NVLink CPUs: 16 or 20 cores; 
or 18 or 22 cores with liquid cooling
GPUs 4 or 6 NVIDIA Tesla GPU processors
(NVLink 2.0 attached)
Memory slots 16
PCIe G4 slot 1 TB
Supported operating system Linux