Acer Group subsidiary ” Altos Computing Inc.” launched the Altos aiWorks solution which is an Artificial Intelligence Computing Platform, with “shared resources”, “simplified process”, and “rapid development” as the core missions.
It’s combining Altos BrainSphereTM series of computing system products (including servers, PC workstations, etc.), and Altos Accelerator Resource Manager (AARM) smart accelerator computing resource management system, in addition to providing customers and developers with different artificial intelligence computing system choices, rapid deployment of a development environment, and optimisation of artificial intelligence accelerator resource allocation.
Altos Computing Inc. deeply investigates its R&D on AI computing platform technology. Based on excellent software and hardware solution “Altos aiWorks”, Altos Computing fastest launches and announces the supports for NVIDIA A100 Multi-Instance GPU (MIG) technology.
MIG allows each A100 GPU to be divided into up to 7 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 maximise the utilisation rate. Besides, for Volta and Turing series GPUs, Altos aiWorks also supports NVIDIA CUDA Multi-Process Service (MPS) technology to improve GPU utilisation.
Altos Accelerator Resource Manager (AARM) adopting container technology manages AI accelerators and system resources. AARM also introduces Altos’s own patented algorithm technology to optimise 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.
Besides, 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.
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