Hammerspace Tackles the Challenges of GPU Computing
Hammerspace, a pioneer in data orchestration, recently announced a significant advancement in its Global Data Platform during the 56th IT Press Tour. With the addition of the S3 interface, Hammerspace now enables S3 applications to seamlessly connect and leverage its automated data orchestration capabilities. This enhancement allows object data to be efficiently orchestrated to GPU resources alongside existing file data, unlocking new possibilities for organizations looking to optimize their data management and accelerate innovation.
According to Hammerspace Founder and CEO David Flynn, enterprises face major challenges when adopting GPU computing for AI, machine learning, and data analytics. One of the biggest hurdles is accessing available GPUs, whether in an organization's own data centers or in the cloud. An even greater challenge lies in identifying relevant data sets and placing that data in proximity to the compute resources.