Not all AI consumers are interested in diverting their limited resources and time into becoming an IT infrastructure system integrator. The breadth of work needed to ready the IT infrastructure resources needed so that developers can start their work can be dizzying.In highly competitive industries, three to six months of delay on critical, competition-driven business initiatives can make a huge difference. With that in mind, Max Mortillaro looks at Pure Storage’s AIRI, a fully integrated AI-ready infrastructure stack that enables organizations to spend more time on delivering value and achieve a faster ROI.
Nvidia announced that their physics simulation engine, PhysX, is going open-source. It’s a result of the growing importance of physics simulation outside of games.
AMD returned to the data center CPU market in a big way with their Epyc platform in 2017. But what about competing with Nvidia on the GPU side? The release of the Vega 20-based Radeon Instinct cards signals that AMD is ready to try.
Red Hat and Nvidia are officially partnering to bring better GPU training for AI applications on OpenShift.
Nvidia’s new Turing architecture marks a significant departure for the company, offering dedicated ray tracing and tensor processors. On their workstation cards this make sense. But for consumers, is the added complexity and power worth the benefits?
Rich Stroffolino is flying solo this week on the Rundown! Talking HPE’s acquisition of Cape Networks, Foxconn buying Belkin, the state of the African tech startup scene, and announcements from NVIDIA GTC.
Do you mine cryptocurrency? Do you have eight AMD and Nvidia cards? Want to have them all plugged into a single motherboard with PCIe slots to spare? Asus just release the motherboard of your dreams. Behold the grotesque nightmare of expansion that is the Asus B250 Mining Expert!
In this iteration of the Gestalt IT Server Newsletter:
– Scale Computing rethinks HCI from the ground up
– Nvidia keeps growing in the data center
– Alastair Cooke reviews how to make an app fit into a container
Plus Diablo Technologies terabyte memory solution, and a look at a compact hyperconverged home lab!
Nvidia’s data center division made $296 million in revenue for the quarter. In the exorbitant world of technology, this might not seem all that notable as a raw figure. But compared to Q4 2015, its a 205% increase. This isn’t just a one-time blip either, in Q3 they saw year-on-year growth of 193%. If anything this is accelerating.