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ACER's "aiWorks solution" in India

ACER, one of the leading global technology brands, today (December 14, 2020) announced the launch of "aiWorks solution" in India, an Artificial Intelligence Computing Platform. 

Would you like to know more about it? If yes, here you go. aiWorks solution provides the best streamlined and cost-effective integrated solutions on servers, workstations, networks, and storage.

Acer aiWorks is an amalgamation of Altos BrainSphere™ series of computing system products (including servers, PC workstations, etc.), and Acer Altos Accelerator Resource Manager (AARM) smart accelerator computing resource management system. 

Besides, aiWorks solution also, provide customers and developers with different artificial intelligence computing system choices, rapid deployment of a development environment, and optimization of artificial intelligence accelerator resource allocation.

Based on excellent software and hardware solution “Acer aiWorks”, supports NVIDIA A100 Multi-Instance GPU (MIG) technology. MIG allows each A100 GPU to be divided into up to seven instances.

Whether it is high-bandwidth memory, cache, and computing core, they are all independent; GPUs have multiple cutting forms, which can not only withstand workloads of any scale, but also ensure the quality of work services (QoS), which can also accelerate the scalability of computing resources, and maximize utilization rate. 

And, for Volta and Turing series GPUs, the Acer aiWorks solution also supports NVIDIA CUDA Multi-Process Service (MPS) technology to improve GPU utilization. 

Acer Altos Accelerator Resource Manager(AARM)adopting container technology that manages AI accelerators and system resources. 

AARM also introduces Acer Altos's own patented algorithm technology to optimize GPU resource and automate the deployment of functions, which greatly reduces the complexity and barrier for users to deploy workload and application for deep learning and machine learning development. 

Also, AARM allows individual developers to quickly deploy independent workspaces and development environments on the system, allowing multiple users to share hardware resources while still maintaining independent development environments without mutual influence, which helps developers focus more on the research and development of artificial intelligence applications.

Stay tuned for more updates on this.