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Why Developers are Turning to Ultra-powerful Workstations for More Creative Freedom at Less Cost

This white paper, “Why Developers are Turning to Ultra-powerful Workstations for More Creative Freedom at Less Cost,” from Dell Technologies discusses why developers are turning to ultra-powerful workstations for more creative freedom at less cost. Research shows that large and small companies alike are using  powerful workstations with even more powerful graphic processing units (GPUs) as integral parts of their artificial intelligence infrastructure.

Using AI to See What Eye Doctors Can’t

This white paper, “Using AI to See What Eye Doctors Can’t,” explains how Voxeleron, a leader in delivering advanced ophthalmic image analysis and machine learning solutions, is extending ophthalmology’s diagnostic horizons with image analysis based on artificial intelligence (AI) models, trained using Dell Precision workstations with NVIDIA GPUs.

Making AI Accessible to Any Size Enterprise

In this sponsored post, our friends over at Lenovo and NetApp have teamed up with NVIDIA to discuss how the companies are helping to drive Artificial Intelligence (AI) into smaller organizations and hopefully seed that creative garden. Experience tells us that there is a relationship between organizational size and technology adoption:  Larger, more resource-rich, enterprises generally adopt new technologies first, while smaller, more resource constrained organizations follow afterward, (provided that the small organization isn’t in the technology business). 

AI Workflow Scalability through Expansion

In this special guest feature, Tim Miller, Braden Cooper, Product Marketing Manager at One Stop Systems (OSS), suggests that for AI inferencing platforms, the data must be processed in real time to make the split-second decisions that are required to maximize effectiveness.  Without compromising the size of the data set, the best way to scale the model training speed is to add modular data processing nodes.

Zero to an ExaFLOP in Under a Second

In this sponsored post, Matthew Ziegler at Lenovo discusses today’s metric for raw speed of compute. Much like racing cars, servers do “time trials” to gauge their performance relative to a given workload.  There are more Spec or Web benchmarks out there for servers than there are racetracks and drag strips.  Perhaps the most important measure is the raw calculating throughput that a system delivers: FLOPS, or Floating-Point Operations Per Second. 

Choosing the Best Data Flow Design for GPU Accelerated Applications

In this sponsored article from our friends over at Supermicro, we discusses how deciding on the correct type of GPU accelerated computation hardware depends on many factors. One particularly important aspect is the data flow patterns across the PCIe bus and between GPUs and Intel® Xeon® Scalable processors. These factors, along with some application insights are explored below.

Transform Your Business with the Next Generation of Accelerated Computing

In this white paper, you’ll find a compelling discussion regarding how Supermicro servers optimized for NVIDIA A100 GPUs are solving the world’s greatest HPC and AI challenges. As the expansion of HPC and AI poses mounting challenges to IT environments, Supermicro and NVIDIA are equipping organizations for success, with world-class solutions to empower business transformation. The Supermicro team is continually testing and validating advanced hardware featuring optimized software components to support a rising number of use cases.

Transform Your Business with the Next Generation of Accelerated Computing

In this white paper we discuss how Supermicro servers optimized for NVIDIA A100 GPUs are solving the world’s greatest HPC and AI challenges. As the expansion of HPC and AI poses mounting challenges to IT environments, Supermicro and NVIDIA are equipping organizations for success, with world-class solutions to empower business transformation. We are continually testing and validating advanced hardware featuring optimized software components to support a rising number of use cases.

Dell Technologies HPC Community Interviews: Nvidia’s Geetika Gupta on a Decade of Driving GPUs into the Data Center

Geetika Gupta, senior product manager at Nvidia, is a veteran of the company’s drive to bring GPU processing power to the data center. In this conversation, part of our Dell Technologies HPC Community series of interviews, Gupta talks about her work  in product management of multiple generations of Nvidia GPUs – including Kepler, Pascal and […]

GTC: A Summary of Today’s Announcements from Nvidia

Here is a summary of today’s news and announcement released by Nvidia at its GPU Technology Conference (GTC), this year held virtually: Data Center and Networking New Family of BlueField DPUs for Center Networking, Storage and Security Performance – The company announced a new kind of processor — the DPU, or data processing unit — featuring DOCA, […]