The Future Of AI Training Demands Optical Interconnects
Artificial intelligence has taken the datacenter by storm, and it is forcing companies to rethink the balance between compute, storage, and networking. …
Artificial intelligence has taken the datacenter by storm, and it is forcing companies to rethink the balance between compute, storage, and networking. …
In the United States, the first step on the road to exascale HPC systems began with a series of workshops in 2007. …
When it comes to an economy, you get what we collectively expect. …
For Arista Networks, the poster-child of hyperscaler and cloud build networking that, more than any other vendor, has championed merchant silicon and Linux as the basis of a modular network operating system, 2022 was a bumper crop year. …
Two decades ago, all the chip makers, including Intel, had to buy Unix machines, usually massive ranks of Sparc/Solaris systems, to do electronic design automation to design and test their chip designs. …
There’s no resting on your laurels in the HPC world, no time to sit back and bask in a hard-won accomplishment that was years in the making. …
Large language models, also known as AI foundation models and part of a broader category of AI transformer models, have been growing at an exponential pace in terms of the number of parameters they can process and the amount of compute and memory bandwidth capacity they require. …
DataStax, the driving force behind the ongoing development of and commercialization of the open source NoSQL Apache Cassandra database, had been in business for nine years in 2019 when it made a hard shift to the cloud. …
In many industries, embracing AI in the application software stack it is not just a matter of training some large language models or recommender systems against general and then specific datasets and plugging it in. …
The top hyperscalers and clouds are rich enough to build out infrastructure on a global scale and create just about any kind of platform they feel like. …
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