Adam_a

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  1. Synology’s 4-bay DS918+ is the latest member of the DS9xx+ family. The DS918+ comes equipped with an Intel Celeron Quad-Core 2.3GHz CPU with an AES-NI hardware encryption engine. Out of the box, this NAS comes equipped with a 4GB DDR3L memory module but is expandable up to 8GB thanks to its additional memory slot. Also featured are two RJ-45 1GbE LAN ports with link aggregation and failover support. Finally, the DS918+ can support two M.2 NVMe 2280 SSDs. This allows users to take full advantage of the system cache without compromising precious storage space of the internal drives. Synology DiskStation DS918+ Review
  2. The most interesting news that we found in this release is that Leostreamhas partnered with Scale Computing, one of the earliest hyperconverged infrastructure (HCI) platforms. This partnership combines Leostream’ s virtual desktop infrastructure (VDI) prowess with Scale Computing’sHCI experience. This solution should play well in the SMB market as both companies have tailored their systems to be as hands off and maintenance free as possible thereby simplify the management of IT in users’ office or datacenter. Leostream 9.0.34 Released
  3. While most of our server reviews tend to be very performance focused with the latest and greatest hardware, it's still important to give light to the more value-oriented options available. As the need for edge computing continues to rise, the demand for servers as the edge to process data near where the data is collected is increasingly popular. The typical ROBO and retail use cases all fit here as well. There's a need for reliability and service from a trusted brand, but generally support for a flood of concurrent users is outside the scope. While even the entry-level servers can be specced out pretty well-equipped, the more modest offerings from the Lenovo ThinkSystem family do well to serve these other important use cases. Lenovo ThinkSystem Family Overview
  4. The Lenovo ThinkSystem SR570 is a compact 1U, 2-socket server aimed at virtualization and cloud computing, infrastructure security, web serving, and application development. Of course these use cases run the gamut from small offices to larger enterprises. This small server can be outfitted with up to 1TB of ram, two Platinum Intel Xeon CPUs, and up to 76.8TB of capacity, depending on the drive configuration chosen. In addition to standard server use cases, the SE570 can find itself in a variety of software-defined solutions via Lenovo's ThinkAgile suite of offerings. Lenovo ThinkSystem SR570 Server Review
  5. ForsaOS aims to dramatically cut memory requirements by using proprietary algorithms to transform data into the company’s own language,Formulus Bit Markers. Formulus Black claims their language losslessly compresses memory by deduplicating repetitive bit patterns. A process similar in concept to the way .pngs provide high image quality with relatively low memory footprints, but applied more generally. Formulus Black Debuts De-Duplicating OS
  6. With Greenplum for Kubernetes, customers run the same Greenplum in Pivotal Container Service (PKS), Google Container Environment (GKE), or wherever Kubernetes is installed. This should make multi-cloud deployments easier. Pivotal opted to supplement standard Kubernetes deployment with what they are calling the Greenplum Operator. Pivotal says the Operator will create, configure and manage instances of complex stateful applications on behalf of a Kubernetes user as well as inform how Greenplum should be configured and deployed. Pivotal Announces Pivotal Greenplum 6
  7. Most in the enterprise have either switch to some type of hybrid cloud setup, or are considering it. A hybrid cloud offers several benefits, namely more flexibility when it comes to resource utilization. Another benefit is having part of users’ cloud on-prem for security and compliance reasons. Basically users can have the best of all worlds. However, setting up and using a hybrid cloud is complex and there are risks associated with it. Today’s announcement aims to deliver the benefits of the hybrid cloud while mitigating the risks. VMware Cloud Foundation Available On Dell EMC VxRail
  8. Leveraging the NVIDIA RTX platform, Unity is able to achieve, performant real-time ray tracing. This can deliver photorealistic image quality and lighting used in fields such as design, engineering, and marketing. Real-time ray tracing can speed up the completion of projects saving time and money versus rendering offline. Unity Technologies & NVIDIA Bring Real-Time Ray Tracing To Automotive, M&E, & Gaming
  9. The new VMware vCloud Director 9.7 release updates the extensibility framework to enable cloud providers to offer differentiated services on their multi-tenant platform from third-party solutions from ecosystem partners such as Cohesity, Dell EMC, and Rubrik. VMware vCloud Availability is also updating to version 3.0. The new version provides onboarding, migration and disaster recovery services to and between multi-tenant clouds. VMware Announces Updates to Cloud Services
  10. Direct-to-cloud data transfer provides the ability to archive data directly from source systems to the cloud destination of choice, with minimal local storage requirements. This substantially decreases the on-premises storage and compute requirements. Aparavi claims their updates to Active Archive's classification and tagging capabilities make it simple to classify data based on individual words, phrases, dates, file types, and patterns. This should make it easier to identify and tag data for compliance, reference, or analysis. Aparavi supports users defining their own classifications in addition to including pre-set classifications of "confidential," "legal," and "personally identifiable information." Aparavi Announces Active Archive Enhancements
  11. As more and more business are looking to AI and its potential, NVIDIA is releasing its CUDA-X AI to unlock the flexibility of its Tensor Core GPUs that are designed to address the end-to-end AI pipeline. CUDA-X AI is a series of specialized acceleration libraries that NVIDIA states can speed up machine learning and data science workloads by as much as 50x. GPUs can accelerate computing that is required for processing the large volumes of data associated with AI. NVIDIA Introduces CUDA-X AI At GTC
  12. These new workstations are purpose-built for data analytics, machine learning and deep learning all of which need extreme computational power provided by NVIDIA Quadro RTX GPUs and NVIDIA CUDA-X AI. The workstations are ideal for fields such as finance, insurance, retail and professional services. The workstations can also leverage accelerated data science software, such as RAPIDS, TensorFlow, PyTorch and Caffe. NVIDIA Introduces New High Performance Workstations
  13. Omniverse works by two-way tunnels its calls portals that maintain live connections between industry-standard applications such as Autodesk Maya, Adobe Photoshop and Epic Games’ Unreal Engine. Omniverse allows artist on either end to see live updates made by the other artists, even though working in different applications, changes reflected in multiple tools can be seen at the same time. Basically, artists can use the tools they work best in and can work with other artists even using different tools. NVIDIA Unveils Omniverse
  14. Content is being creating and consumed faster than ever. And new technologies like 5G-enabled cloud gaming and VR streaming are going to drive the demand for high computational power even higher. NVIDIA is meeting these needs with their RTX servers. Not only do they state the server can eaisly provide rendering, gaming, VR and AR, and professional visualization applications, they state that now the severs can deliver cinematic-quality graphics enhanced by ray tracing for far less than just the cost of electricity for a CPU-based rendering cluster with the same performance. NVIDIA Expands Its RTX Server Lineup
  15. AI will be perhaps the most disruptive change over the next few years. AI comes with promises of making business more efficient to increasing treatment in healthcare with better diagnosis to making us all safer with autonomous vehicles. However, AI is not as easy as flipping a switch. Intelligent applications typically need massive amounts of data, which can be difficult to move around for compliance and security reasons. Part of this issue can be addressed by moving compute power closer to the data, but it can’t be solved through hardware alone. Lenovo Makes Several AI Announcements At GTC 2019