Adel El-Hallak from IBM
In this video from GTC 2018, Adel El-Hallak from IBM describes how IBM and NVIDIA are partnering to build the largest supercomputers in the world to enable data scientists and application developers to not be limited to any device memory. Between IBM and NVIDIA, you can capitalize on the Volta 32GB memory and the entire system as a whole.
“The Tesla V100 GPU, widely adopted by the world’s leading researchers, has received a 2x memory boost to handle the most memory-intensive deep learning and high performance computing workloads. Now equipped with 32GB of memory, Tesla V100 GPUs will help data scientists train deeper and larger deep learning models that are more accurate than ever. They can also improve the performance of memory-constrained HPC applications by up to 50 percent compared with the previous 16GB version.”
The Tesla V100 32GB GPU is immediately available across the complete NVIDIA DGX system portfolio.
POWER9 servers with Volta will form the basis of the world’s fastest “Coral” supercomputers coming to ORNL and LLNL.
IBM Power System Accelerated Compute Server (AC922) delivers unprecedented performance for modern HPC, analytics, and artificial intelligence. Enterprises can now deploy data-intensive workloads, like deep learning frameworks and accelerated databases, with confidence. AC922 enables the cutting-edge AI innovation data scientists’ desire, with the dependability IT requires. This is IT infrastructure redesigned for enterprise AI.”
Built specifically for compute-intensive AI workloads, the new POWER9 systems are capable of improving the training times of deep learning frameworks by nearly 4x allowing enterprises to build more accurate AI applications, faster.
Rich Brueckner checks out the IBM AC922 server with NVIDIA Volta 100 GPUs.
The Sierra Supercomputer is currently under installatoin at LLNL.
Highlights:
- The new POWER9-based AC922 Systems are the first to embed PCI-Express 4.0, next-generation NVIDIA NVLink and OpenCAPI, which combined can accelerate data movement, calculated at 9.5x faster than PCI-E 3.0 based x86 systems.
- The system was designed to drive demonstrable performance improvements across popular AI frameworks such as Chainer, TensorFlow and Caffe, as well as accelerated databases such as Kinetica.
- As a result, data scientists can build applications faster, ranging from deep learning insights in scientific research, real-time fraud detection and credit risk analysis.
- POWER9 is at the heart of the soon-to-be most powerful data-intensive supercomputers in the world, the U.S. Department of Energy’s “Summit”and “Sierra” supercomputers, and has been tapped by Google.
