The OrionX Constellation™ research reports and diagrams analyze technology innovations in growth markets and are part of a unique model that integrates content, context, and dissemination.
Machine / Deep Learning
Internet of Things
Cybersecurity & Privacy
Big Data / Analytics
Data Center Software & Cloud
New Server Architectures
The OrionX Constellation™ Methodology
Whether tactical or strategic, bold or conservative, or focused on now vs. the future, customers’ evaluation and adoption of technologies is a complex process. A typical RFP makes this evident.
Following the proven OrionX strategy model, the Constellation process collects and organizes data in three categories: market, customer, and product. The data is analyzed to identify salient points which are synthesized into the coherent insights necessary for effective engagement.
Types of Reports
The OrionX Constellation reports cover five Es:
- Events: industry milestones
- Evolution: historical view of a technology segment
- Environment: main vendors in a market segment
- Evaluation: customer decision criteria
- Excellence: how vendors in a segment score based on the OrionX technology evaluation methodology
The OrionX Constellation Decision Tool effectively visualizes the six parameters that capture the core of technology customers’ selection process. Each of the six parameters is scored from zero to ten. The two parameters in each category (Market, Customer, Product) are averaged to produce a single score for that category. The placement of this score on the Constellation graph depends on which parameter is stronger.
The following reports are available for download. Please click on the image to see the full report. No registration or payment is required.
OrionX 2017 Data Center Predictions
The data center market is hot, especially now that we are getting a raft of new stuff, from promising non-Intel chips and system architectures to power and cooling optimizations to new applications in Analytics, IoT, and Artificial Intelligence.
Here is our Top-10 Data Center Predictions for 2017.
Is AI the Future of HPC?
The intersection of HPC and AI has created a vibrant new market: “High Performance Artificial Intelligence” (HPAI).
HPAI combines HPC (numerically intensive statistical analysis and optimization) with traditional AI (search algorithms and expert systems) to profoundly impact the IT industry and customer investment priorities, to influence every aspect of human life, and to pose its own grand challenges.
The Return of Vector Processing
Digital transformation, cloud computing and application elasticity, open source software, and new app areas like AI and IoT are driving a renaissance in system architecture. This is an area of interest and research for us at OrionX.
Vector processing was an interesting topic to re-emerge recently. First during the International Supercomputing Conference (ISC), and again in various announcements in implicit and explicit ways.
The Emergence of High Performance Interconnects
Multi-processor architectures have been used to improve application performance since the 1960s which has significant impacts upon system and software design as well as the orchestration required to coordinate communication between processors, memory, storage, networks and any other component that affects workload performance.
The larger or more complex the workload the more important it is that the components of the system are well balanced and do not create a choke point that impairs expected performance.
The High Performance Interconnects Market Landscape
One of the most important components of a high performance computing solution is the interconnect that ties the resources together. In fact, interconnect speeds have advanced at a rate of 30% annually over the past four decades. This compares well with Moore’s Law, which indicates 41% annual improvement. Thus the increase in interconnect performance has had, and will continue to have, a large impact on the performance of high performance systems.
Major vendors in this market include Mellanox, vendors with an exclusive focus on Ethernet such as Cisco, Juniper Networks, HPE, Brocade, et. al., and Cray, SGI, and Intel.
Customer Evaluation Criteria for High Performance Interconnects
With increasing adoption of scale-out architecture, cloud computing, artificial intelligence, and extreme-scale processing, High Performance Interconnect (HPI) technologies have become a more critical part of IT systems. Today, they represent their own market segment.
In this research report, we examine key evaluation criteria for HPI technologies. How do customers select a technology and a vendor? What are the key issues and tradeoffs? How does one match a given workload to an appropriate interconnect and topology?
Assessment and Ranking of Major Vendor Offerings
From a market share perspective, the HPI market is currently led by: InfiniBand and Ethernet, followed by proprietary offerings from HPC vendors such as Cray and SGI, and the newly introduced Omni-Path Architecture (OPA) from Intel.
As a proxy for the HPI market segment, the TOP500 list of the most powerful systems in the world provides a glimpse of market dynamics at the very high-end: over 40% are based on InfiniBand, 44% use Ethernet, and 15% are built with proprietary interconnects. However it is worthwhile to note that only five of the TOP100 systems are Ethernet-based, and the highest is ranked in the 74th position.
DriveScale Launches Scale-out Solution
DriveScale’s solution for scale-out computing is a significant advance in system design and deserves serious consideration by enterprises and cloud service providers alike, especially for Big Data workloads.
The DriveScale team’s record of innovation and execution, together with the quality of the company’s early customers (AppNexus, ClearSense, and DST Systems) and partners (Foxconn), and the level of funding it has received ($15m Series A) position it well for the market.
OrionX 2016 Data Center Issues and Predictions
Here at OrionX.net, we are fortunate to work with tech leaders across several industries and geographies, serving markets in Mobile, Social, Cloud, and Big Data (including Analytics, Cognitive Computing, IoT, Machine Learning, Semantic Web, etc.), and focused on pretty much every part of the “stack”, from chips to apps and everything in between. Doing this for several years has given us a privileged perspective. In this report, we capture some of the trends in Data Center technologies.