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はじめに かねてより高速な演算環境の実現にGPUが活用されてきておりましたが、昨今の生成AIブームにより一層GPUコンピューティングが着目されていると思います。 GPUを搭載可能なサーバーに最新の高性能GPUを複数搭載し、並列処理させることでより高速化させることができます。 1台のサーバーに搭載可能なGPUの枚数には限界があり、それ以上は複数のGPUサーバーをネットワーク接続させクラスタ化を行う必要があります。 並列演算のためのネットワークは、その特性からInfinibandなど超高速、超低遅延の専用ネットワークの構成が求められます。 ...
We're excited to introduce version 6.6 of IBM SevOne Network Performance Management (NPM), providing application-centric network observability and empowering NetOps to identify, address, and prevent performance issues proactively. SevOne NPM delivers a comprehensive view of what's happening in...
Bringing cloud computing resources to the edge of the network In this blog post, the terms “Cloud at the Edge,” “Edge Cloud,” and “Next-Gen Cloud” are used interchangeably. Most of us are familiar with the following cloud computing environments: Private cloud: Access is limited to...
In this video Jeff is going to introduce and deep dive the Network- and Configuration Management capabilities of CP4WA. A real network will be discovery, monitored and managed using the IBM Cloud Pak for Watson AIOps Network Manager. Topics covered: - Discovery - Network Modelling -...
IBM Cloud Pak for Network Automation is an AI-powered, telco cloud platform that enables the automation of network operations so CSPs can transform their networks, evolve to zero-touch operations, reduce OPEX and deliver services faster. Day 0 & 1 - Cloud Pak for Network Automation...
Today, IBM is announcing IBM Cloud for Telecommunications the first high-trust, unified architecture addressing the fundamental transformation challenges that face telcos. Telecommunication operators are under pressure to simultaneously deliver enhanced digital experiences, while modernizing...