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Tag: GPU

Birds Aren’t Real. And Neither Is MLOps

Are birds real? A group of 20-somethings tried to convince us they weren’t in the past few years, to varying degrees of success. And now a University of Washington professor wants us to believe that MLOps isn’t real, Read more…

Nvidia Launches Hopper H100 GPU, New DGXs and Grace Superchips

The battle for datacenter dominance keeps getting hotter. Today, Nvidia kicked off its spring GTC event with new silicon, new software and a new supercomputer. Speaking from a virtual environment in the Nvidia Omnivers Read more…

Run:ai Seeks to Grow AI Virtualization with $75M Round

Run:ai, a provider of an AI virtualization layer that helps optimize GPU instances, yesterday announced a Series C round worth $75 million. The funding figures to help the fast-growing company expand its sales reach and Read more…

OmniSci Gets HEAVY New Name and New CEO

OmniSci, developers of a GPU-based analytics database, today announced it has changed its name to HEAVY.AI. There’s also a change of leadership at the top of the San Francisco company, as Jon Kondo takes over for co-fo Read more…

Bank Replaces Hundreds of Spark Streaming Nodes with Kinetica

Kinetica got its start serving queries on fast-moving geospatial and temporal data for the Department of Defense. Now it’s moving into other industries with similar big data problems, including finance, where one large Read more…

Nothing Runs Like a GPU-Powered, Fully Autonomous Deere

We’re still a few years from having self-driving cars take to the roadways en masse. But later this year, farmers will be able to start running fully autonomous John Deere tractors in their fields, enabling them to mon Read more…

Is Quantum Computing the Future of AI?

Quantum computing has grabbed the imagination of computer scientists as one possible future of the discipline after we’ve reached the limits of digital binary computers. Thanks to its capability to hold many different Read more…

Chip Shortage Hurts AI, But Hardware Just Part of the Story

The impacts of the chip shortage can be spotted everywhere: from higher prices on home appliances to empty new car lots to higher prices for consumer devices. Processor-hungry AI applications are feeling the pinch, but a Read more…

An All-Volunteer Deep Learning Army

A team of researchers says their novel framework, called Distributed Deep Learning in Open Collaborations, or DeDLOC, brings the potential to train large deep learning models from scratch in a distributed, grid-like mann Read more…

SambaNova Brings Custom Silicon To Bear on High-End AI Workloads

With its own custom silicon for AI workloads and a $5 billion valuation, it seems likely you’ll be hearing more about the Silicon Valley startup SambaNova Systems and its complete AI stack in the years to come. Samb Read more…

Nvidia’s Enterprise AI Software Now GA

After months in early release, Nvidia today announced the general availability of Nvidia AI Enterprise, a new software offering that’s designed to bring AI capabilities to the masses via VMware’s vSphere. The announc Read more…

The Data Science of Digital Alchemy

In nature, particles will spontaneously self-assemble into crystalline structures that have certain properties. Humans have learned how to leverage this behavior to create beneficial materials in the lab, but we’re lim Read more…

Enterprises Needing Accelerated Data Analytics and AI Workloads Get Help from Nvidia and Cloudera

In April, Nvidia and Cloudera unveiled a new partnership effort to bring together Nvidia GPUs, Apache Spark and the Cloudera Data Platform to help customers vastly accelerate their data analytics and AI workloads in the Read more…

The Perfect Storm: How the Chip Shortage Will Impact AI Development

This chip shortage has brought to light our dependency on hardware to run high-tech economies and the everyday lives of consumers. Today, chips can be found in everything from gaming consoles like Xbox Series, PlayStatio Read more…

JetBrains Unlocks Team Development with On-Prem Data Science Notebook Environment

Data science teams that want to work together in a the Jupter notebook environment but don’t want to run in the cloud may be interested in the new Datalore for Enterprise offering unveiled last week by JetBrains. Da Read more…

US Census Provides Big Data Grist for GPU Analytics Mill

As the United States Census Bureau begins to release data from its 2020 tally, companies are gearing up to analyze the new information and figure out how they can leverage it for competitive advantage. For large corporat Read more…

Informatica Accelerates DataOps with Spark, GPUs

Informatica today announced that customers can see up to a 5x performance boost for ETL and data management workloads when they run them under its new cloud-based data integration engine that’s powered by Apache Spark Read more…

The Chip Shortage Seems To Be Impacting AI Workloads in the Cloud

If you’re finding it harder to get access to GPUs in the cloud to train your AI model, you’re not alone. The combination of a global chip shortage and increased demand for AI model training may be leading to longer w Read more…

AWS Leans on Custom Silicon for Processing Advantage

You may know Amazon Web Services as a leading provider of public cloud services. But it’s also investing substantial sums into designing its own line of custom chips that can save customers a lot of money compared to I Read more…

Optimizing AI and Deep Learning Performance

As AI and deep learning uses skyrocket, organizations are finding they are running these systems on similar resource as they do with high-performance computing (HPC) systems – and wondering if this is the path to peak Read more…

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