Webinar on Artificial Intelligence and Machine Learning in Datacenter Infrastructure

AI and ML Demanding Data Architecture Transformation

Artificial intelligence and machine learning-enabled applications and services which are central to digital transformation initiatives in many organizations are putting an increased strain on available resources. These sophisticated technologies are demanding increased computational power and efficient data management that may be beyond the capacity of existing datacenter infrastructure.

Rising Need for High Speed and Scalable Storage

Applications relying heavily on AI and ML require high-speed I/O and data transmission for managing extremely large datasets. GPUs and HPC are known solutions, but a faster, scalable storage solution that can keep up with GPUs during training and inferencing is becoming increasingly necessary. Webinar scheduled on 31 July 2024 aims to address this rising demand in the IT infrastructure realm.

Insights on Hammerspace Hyperscale NAS Architecture

Join the webinar to gain insights into how AI, ML, DL, and GPU computing are driving the use of HPC to mainstream usage both in-house and in the cloud. Experts will discuss the challenges in meeting performance requirements with existing storage architectures and provide an overview of Hammerspace Hyperscale NAS architecture, a forefront solution that includes GPUDirect support. This storage solution is already being implemented by Meta for the LLM training of its Llama2/3 models.

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