AMD CEO Lisa Su and her team have made several critical changes and the firm seems to be able to execute like clockwork. At Computex, Su showcased progress the firm has made while announcing a number of new products.
This HPE-Cray merger looks like a disaster because it does not address the real threat facing HPE: cloud computing.
SAP launched a series of cloud services, including its core HANA in-memory database, that can be deployed on multiple public clouds.
Given all the complexities involved, it is little wonder that so many organizations have found moving to the cloud a much bigger challenge than they might have originally anticipated.
HCI may be the latest form of IT hardware, but in one respect it is a lot like the old: It presents a choice between an all-software deployment on commodity hardware or a pre-integrated, vendor-specific solution.
In many ways, the HCI benefit to digital transformation is not so much its scalability or its management simplicity, but its speed.
HCI has one thing going for it that most other current data initiatives like AI and the IoT do not: a clear and compelling use case.
AI platforms will certainly allow the enterprise to elevate its game against the underworld, but the reverse is true as well.
Interest in serverless computing frameworks is rising sharply, but the risk associated with being locked into proprietary architectures or investing in a framework that ultimately dies on the vine due to a lack of industry support is a major concern for most IT organizations.
The scale-out file system developed by IBM is ideally suited for GPUs because it is based on a parallel architecture that maximizes I/O throughput to the GPU processors.
Security is a key aspect of the new converged environment, but it cannot simply be carried over from legacy systems. HCI is a unique form of infrastructure, and it needs a unique form of protection.
HCI may be seen as the next cutting-edge technology, but in fact it is already approaching its second decade on the market.
In enterprise circles, much of the talk regarding converged infrastructure (CI) and hyperconverged infrastructure (HCI) centers on which approach is appropriate for a given use case.
Converged infrastructure providers are striving to craft the right infrastructure for the business model, which itself is under the gun to deliver speed, availability, and other metrics for increasingly diverse workloads.
The ongoing question when it comes to converging data center hardware is whether to adopt simple convergence or gravitate toward full hyperconvergence.
Converged Infrastructure (CI) is one of those things that is easy to understand but rather difficult to define. Unlike traditional data center environments, convergence breaks down the hard lines between compute, storage and networking to create a more flexible, federated data environment.
NVIDIA and NetApp have partnered to create NetApp ONTAP AI architecture based on NVIDIA DGX supercomputers and NetApp AFF A800 all-flash storage.
A fierce contest between Intel and NVIDIA for control over artificial intelligence (AI) workloads is now under way in earnest.
A symbiotic relationship exists between the need for best practices for data management and a desire to build AI applications. An AI application is only as good as accurate as the data used train it.
Regardless of whether a project is implemented through DevOps or in a traditional manner, collaboration is often the key factor in success.
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