August 27, 2019
Could wafer scale silicon from Cerebras Systems be the first “supercomputer on a chip” worthy of the designation? Last week at Hot Chips at Stanford Univers Read more…
September 11, 2012
SeaMicro division launches new line of microservers aimed at data-intensive applications. Read more…
April 25, 2012
Supercomputer maker Cray is methodically and inevitably shifting its technology focus from hardware to software. Another step in that direction played itself out this week in the company's sale of its highly treasured supercomputing interconnect technology. On Tuesday evening, Cray and Intel announced that they signed a "definitive agreement" that would send the interconnect program and expertise to the x86 chipmaker. Read more…
February 1, 2012
Server maker SeaMicro has unveiled the SM10000-XE, a new microserver aimed squarely at the burgeoning ultra-scale datacenter market. The company is best known for pioneering the microserver space using Intel's power-sipping Atom CPUs, but in this latest offering, SeaMicro has opted for high powered, low-wattage Sandy Bridge Xeons, which expands the application horizons of microservers considerably. Read more…
March 17, 2011
Chipmaker unveils roadmap with Atom server chip. Read more…
March 16, 2011
The concept of Fast Arrays of Wimpy Nodes (FAWN) could shape the next generation of data centers and alter the way public clouds operate. Read more…
The increasing complexity of electric vehicles result in large and complex computational models for simulations that demand enormous compute resources. On-premises high-performance computing (HPC) clusters and computer-aided engineering (CAE) tools are commonly used but some limitations occur when the models are too big or when multiple iterations need to be done in a very short term, leading to a lack of available compute resources. In this hybrid approach, cloud computing offers a flexible and cost-effective alternative, allowing engineers to utilize the latest hardware and software on-demand. Ansys Gateway powered by AWS, a cloud-based simulation software platform, drives efficiencies in automotive engineering simulations. Complete Ansys simulation and CAE/CAD developments can be managed in the cloud with access to AWS’s latest hardware instances, providing significant runtime acceleration.
Two recent studies show how Ansys Gateway powered by AWS can balance run times and costs, making it a compelling solution for automotive development.
Five Recommendations to Optimize Data Pipelines
When building AI systems at scale, managing the flow of data can make or break a business. The various stages of the AI data pipeline pose unique challenges that can disrupt or misdirect the flow of data, ultimately impacting the effectiveness of AI storage and systems.
With so many applications and diverse requirements for data types, management systems, workloads, and compliance regulations, these challenges are only amplified. Without a clear, continuous flow of data throughout the AI data lifecycle, AI models can perform poorly or even dangerously.
To ensure your AI systems are optimized, follow these five essential steps to eliminate bottlenecks and maximize efficiency.
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