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Viewing posts from May, 2017

Microsoft’s Plans for FPGAs in Azure Should Worry Traditional Chipmakers

At Microsoft’s recent Build conference, Azure CTO Mark Russinovich presented a future that would significantly expand the role of FPGAs in their cloud platform. Some of these plans could sideline the use of GPUs and CPUs used for deep learning from the likes of NVIDIA, Intel, and other chipmakers.

Cray Takes the Plunge into Cloud Computing

Cray is now offering its Urika-GX supercomputer for rent. One of the last HPC system vendors to give cloud computing a whirl, the company’s initial foray into supercomputer-as-a-service will target life science customers looking for compute cycles on something more sophisticated than a traditional cluster.

Nvidia Launches Volta into AI; Updates and Analysis from GTC17

Episode 173: Addison Snell and Michael Feldman discuss Nvidia's Volta and the GTC17 conference.

Intel Demos 3D XPoint Memory Modules

Intel has demonstrated its much-anticipated non-volatile DIMMs based on its 3D XPoint technology. The chipmaker is claiming this product will revolutionize the storage hierarchy by enabling terascale-sized datasets to be brought into the memory subsystem of conventional servers.

Google Reveals Major Upgrade and Expanded Role for TPU

In a blog post, penned by Google veterans Jeff Dean and Urs Hölzle, the company announced it has developed and deployed its second-generation Tensor Processing Units (TPUs). The newly hatched TPU is being used to accelerate Google’s machine learning work and will also become the basis of a new cloud service.