Tag: GPU
Five AWS Predictions as re:Invent 2023 Kicks Off
The computing world this week turns to Amazon Web Services, the company that originally defined the public cloud space and continues to enjoy the largest slice of the cloud pie. Its annual re:Invent conference, which kic Read more…
Pandas on GPU Runs 150x Faster, Nvidia Says
Data scientists and others who work in pandas may be interested to hear about a new release of Nvidia’s RAPIDS cuDF framework that it says results in a 150x performance boost for pandas running atop a GPU. Pandas is Read more…
Anyscale and Nvidia In LLM Hookup
GenAI developers building atop large language models (LLMs) are the big winners of a new partnership between Anyscale and Nvidia unveiled this week that will see the GPU maker’s AI software integrated into Anyscale’s Read more…
How to Manage ML Workflows Like a Netflix Data Scientist
Data scientists want to do data science. It’s right there in the title, after all. But data scientists often are asked to do other things besides building machine learning models, such as creating data pipelines and pr Read more…
ChatGPT Gives Kinetica a Natural Language Interface for Speedy Analytics Database
It would normally take quite a bit of complex SQL to tease a multi-pronged answer out of Kinetica’s high-speed analytics database, which is powered by GPUs but wire-compataible with Postgres. But with the new natural l Read more…
ChatGPT Puts AI At Inflection Point, Nvidia CEO Huang Says
It’s been 11 years since three AI researchers shocked the world with a breakthrough in computer vision, kickstarting the deep learning craze. But with emergence of generative language models like ChatGPT over the past Read more…
Nvidia Unveils GPUs for Generative Inference Workloads like ChatGPT
Today at its GPU Technology Conference, Nvidia took the wraps off three new GPUs designed to accelerate inference workloads for generative AI applications, including generating text, images, and videos. It also launched Read more…
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…
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