Tag: GPU
New PyTorch 2.0 Compiler Promises Big Speedup for AI Developers
Machine learning and AI developers are eager to get their hands on PyTorch 2.0, which was unveiled in late 2022 and is due to become available this month. Among the features greeting eager ML developers is a compiler as Read more…
OpenXLA Delivers Flexibility for ML Apps
Machine learning developers gained new abilities to develop and run their ML programs on the framework and hardware of their choice thanks to the OpenXLA Project, which today announced the availability of key open source Read more…
Peak:AIO Cranks the Storage Throughput for Affordable AI Data Serving
Organizations that want to keep their pricey GPUs fed with data for machine learning training purposes but don’t want to break the bank with a big parallel file system installation may be interested in a fast new NFS-b Read more…
Microsoft Seeks $10B Investment in OpenAI: Report
Microsoft, which is already invested in OpenAI to the tune of $1 billion and enjoys an exclusive partnership with it to train its AI models, reportedly is looking to invest $10 billion in the company following the breako Read more…
In Search of Hyper-Personalized Customer Experiences
Most of us want first-class treatment when we deal with a company, whether it’s on the Web, over the phone, or in person. We want them to know who we are and what we’ve done, and anticipate what we will need next. In Read more…
Nvidia’s Hopper GPUs Enter ‘Full Production,’ DGXs Delayed Until Q1
Just about six months ago, Nvidia’s spring GTC event saw the announcement of its hotly anticipated Hopper GPU architecture. Now, the GPU giant is announcing that Hopper-generation GPUs (which promise greater energy eff Read more…
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…
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