Bill Neifert’s Post

With Amazon Web Services (AWS), Arm, and Corellium joining forces, we're again raising the bar to support embedded developers! Thanks to #Graviton 3's and Corellium's CHARM hypervisor's advanced virtualization capabilities, you can now run Type 1 hypervisors like BlackBerry QNX seamlessly within a "virtual board", in what is called *nested virtualization* 🪹 (or 🪆, if you will) 🤯. This innovation streamlines embedded development and testing workflows, enabling you to work in a secure, isolated environment without physical hardware constraints - 💻 Imagine the time and cost savings! 🤑 Of course, this is another tool we can use to implement advanced use cases for #automotive, #softwaredefinedvehicles 🚗, #iot, #smartproducts and more. Please reach out to Bill Neifert, Robert Day, Peterson Quadros, or me for more info if you are interested in this use-case. PS: stay tuned for more when Graviton *4* - currently in preview - is going to be made generally available! cc/ Mike Tzamaloukas, Dave Kranzler, Yasser Alsaied ياسر السيّد, Richard Barry, Andrea Ketzer, Francesco Salamida, Balachandar Raju, Surendran R, Samer Odeh, Guilherme Marshall, Martin Schleicher, Girish Shirasat, Nafea Bshara, Ali Saidi, Arthur Petitpierre, Stephanie Shyu, Jeff Underhill #cloud #embedded #innovation

#ZimaCube - Personal cloud. Re-invented. Up to 164TB | 6x HDD | 4x SSD | PCIe Gen4 | 4x 2.5GbE | 12th Gen i5 | Thunderbolt 4 | Private GPT. Check it out: 👉 https://bit.ly/ZimaCube #personalcloud #filemanagement #productivity #quadcore #kickstarter #kickstartercampaign #kickstarterproject

#ZimaCube - Personal cloud. Re-invented. Up to 164TB | 6x HDD | 4x SSD | PCIe Gen4 | 4x 2.5GbE | 12th Gen i5 | Thunderbolt 4 | Private GPT. Check it out: 👉 https://bit.ly/ZimaCube #personalcloud #filemanagement #productivity #quadcore #kickstarter #kickstartercampaign #kickstarterproject

#ZimaCube - Personal cloud. Re-invented. Up to 164TB | 6x HDD | 4x SSD | PCIe Gen4 | 4x 2.5GbE | 12th Gen i5 | Thunderbolt 4 | Private GPT. Hurry - last 2 days! Check it out: 👉 https://bit.ly/ZimaCube #personalcloud #filemanagement #productivity #quadcore #kickstarter #kickstartercampaign #kickstarterproject

#ZimaCube - Personal cloud. Re-invented. Up to 164TB | 6x HDD | 4x SSD | PCIe Gen4 | 4x 2.5GbE | 12th Gen i5 | Thunderbolt 4 | Private GPT. Hurry - last 2 days! Check it out: 👉 https://bit.ly/ZimaCube #personalcloud #filemanagement #productivity #quadcore #kickstarter #kickstartercampaign #kickstarterproject

Setting up Device Cloud: A Beginner’s Guide https://lnkd.in/dzsDggda Testing on a wide range of real-world devices, operating systems, and OS versions can be difficult. You already know it’s true and so, device cloud is becoming essential more than ever. Furthermore, we can find mobile devices with varying screen sizes, memory, CPU power, and so on in the wild, which complicates matters. However, to provide great apps to your customers, you must conduct tests on real devices.

Using Dagger for hardware pipelines? Yup, people are doing that. See how ICSC streamlines FPGA firmware management with Dagger, making deployments as easy as cloud updates. Thanks for the demo Diego! https://ow.ly/onSW50Rue0k

Think of your standard workstation – using cloud technology, you can scale this workstation to meet your project’s needs. Your virtual workstation can run all your software with the same licenses, but you can change the parameters (such as CPU, GPU, and disc size) whenever you need more processing power. Let's find your custom solution. https://bit.ly/42iuhii #virtualstudio #CPU #GPU #processingpower

I don’t see how AMD and Intel Corporation will succeed fully in datacenter AI GPUs without collaborating heavily on software. Intel/Arm/Qualcomm/Google Cloud/Vmware are lined up with Linux Foundation UXL and we have AMD/Meta/IBM/Cerebras/RedHat lined up with the AI Alliance? They’d all be better off aligning on one CUDA competitive. (Yes, I know Linux Foundation are line listed on the AIA.) If you have the answer, DM me or leave in the comments below.

Just finished this training from NVIDIA. Gives you insight in the requirements for NVIDIA GPUs in the datacenter.