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Our advanced-scale industry portals serve as an integrated marketing platform that enables our advertisers to nurture sales prospects through every phase of the engagement chain until they are connected either sitting across a table, in face-to-face meetings or on a video call, introducing the opportunity to discuss specific challenges and matching solutions. Leverage our publications as your cross-platform integrated marketing partner serving to drive business engagement and lead generation.

Through news, analysis and information, we attract, identify, educate and engage decision-makers seeking high-performance and advanced-scale computing solutions.



Datanami is dedicated to covering the physics of Big Data and the utilities that are being used to drive solutions across every discipline. Datanami follows the application of data, and the array of technologies available to manage its growth and utility, spanning the tools, both software and hardware, as well as ideas being employed to drive new solutions.

Coverage Areas Include [But are Not Limited To):

  • Heavy focus on the analytics side of the Big Data equation, including Hadoop and the emerging ecosystem of open-source tools that is being built around it such as Spark, Kafka, Tez, Storm, etc.
  • Strong focus on emerging big data storage technologies, including NoSQL databases (document, graph, key-value, and multi-modal), NewSQL databases, column-oriented data warehouses, and in-memory data grids.
  • Strong focus on supporting tools for advanced analytics and data science, including languages like R, Python, and SAS; emerging predictive analytics use cases, including machine learning; and real-time streaming analytics.
  • Enabling infrastructure – servers, storage, networking, processors – is also covered within the context of facilitating management and analysis of Big Data.


Advanced Computing in the Age of AI

EnterpriseAI covers the leading global companies that are meshing high performance computing technologies with the broader pool of hardware and software solutions that are feeding large-scale enterprise performance, productivity, efficiency and flexibility.

Coverage Areas Include (But are Not Limited To):

  • Private, Public and Hybrid Cloud Infrastructure and ongoing trends to converge and scale this infrastructure.
  • Datacenter design, upgrades, retrofits, citing and energy usage issues related to industry trends around hyperscale and hyper-collapsed facilities.
  • Storage trends, including: disk, solid-state, hybrid and all-flash arrays as well as ongoing attempts to add intelligence to datacenter and cloud storage arrays.
  • Virtualization, open source software development, application development and deployment, and general DevOps issues.
  • Machine/deep learning, advanced modeling/simulation, high performance data analytics and the technologies that enable them, including high performance data centers, cloud computing, advanced networking, high performance storage, AI silicon and AI frameworks.
  • Emerging distributed computing strategies that can be used to support AI implementations, including IoT, blockchain and edge-core-cloud distributed infrastructures.
  • Cognitive computing, bots, robotics, and industrial automation
  • Networking trends designed to bring compute and data closer together to promote more timely data analysis. Coverage areas include software-defined networks, containers, fabric interconnect technology, standards, and more.
  • Systems and components, including: servers, rack systems, hypervisors, virtual machines and other cloud technologies that expand the compute, storage and network capacity of modern datacenters.
  • Internet of Things/Everything and the challenges it presents to enterprises seeking to cope with vastly greater volumes of sensor and device data.
  • Security protection trends, technology, and challenges.


Since 1986 - Covering the Fastest Computers in the World and the People Who Run Them

Since 1986, HPCwire has served as the publication of record for trusted reporting on the issues, challenges, opportunities and conflicts relevant to the global HPC/supercomputing space. The publication covers the vendors, the technologies, the users and the uses of high-performance, AI and data-intensive computing within academia, government, science and industry.

Coverage Areas Include (But are Not Limited To):

  • System, storage and networking/interconnect technologies
  • Accelerators/coprocessors
  • Architectures for processor cores and systems
  • Distributed computing, high-performance cloud computing
  • Cluster/cloud management
  • Parallel programming models and methods
  • Software, tools and applications
  • Limits of current semiconductor technologies (beyond Moore’s law)
  • Exascale technologies
  • National and international plans and programs
  • Scientific/government computing
  • AI technologies
  • Benchmarking