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Onslaught: H.E.R.O - Development Blog #4

#artificialintelligence

It has been a very long time since the last blog post, but a lot has changed since then. To start it off we have two new team members coming aboard to join the Onslaught Team, Mitch will be undertaking some of the new level design and environmental assets and Ethan will be taking on Our UI as well as some level design. In the process of some new team members, we have also changed the Rendering pipeline that our game is going to using, We have swapped from unity (HDRP) to unity(URP). There is not a lot i can explain about the reasons for this other then the FPS/Rendering time for the HDRP were just to much as we would like to produce this game for consoles in the future, the problem is that the rending was our biggest over head, so by cutting certain aspects in by swamping renders gave us more control on the FPS as well as the amount of stuff we could do. As well as the performance boost it seems that the HDRP is not really set up in the community eyes, so finding tutorials and examples was almost near to impossible.


Mellanox Powers Virtualized Machine Learning with VMware and NVIDIA - insideHPC

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Today Mellanox announced that its RDMA (Remote Direct Memory Access) networking solutions for VMware vSphere enable virtualized Machine Learning solutions that achieve higher GPU utilization and efficiency. The benchmark was performed on a four-node cluster running vSphere 6.7 equipped with NVIDIA T4 GPUs with vCS software and Mellanox ConnectX-5 100 GbE SmartNICs, all connected by a Mellanox Spectrum SN2700 100 GbE switch. The PVRDMA Ethernet solution enables VM-to-VM communication over RDMA, which boosts data communication performance in virtualized environments while achieving significantly higher efficiency compared with legacy TCP/IP transports. Additionally, PVRDMA retains core virtual machine capabilities such as vMotion. This translates to real-world customer advantages including optimized server and GPU utilization, reduced machine learning training time and improved scalability.


API Is The New CLI For Cisco Systems

Forbes - Tech

For the less technical, it might be helpful to define these acronyms. API (Application Program Interface) refers to a set of tools, definitions, and rules or protocols for building a software application. Think of it as a set of basic building blocks, Legos if you will, that make the software development process open and easy. CLI (Command-Line Interface) on the other hand is a historical method of interacting with a computer program. As it relates to networking, CLI is a very manual approach to legacy network management that involves deploying and managing devices on an individual line-by-line basis.


Cisco Live 2017: Artificial intelligence and machine learning will herald in the next era of networking - TechRepublic

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The world is entering yet another new era in networking, according to Cisco CEO Chuck Robbins, in his keynote address on Monday at Cisco Live 2017 in Las Vegas. Cisco announced its new "intent-based" networking solution last week, and Robbins discussed it in detail at Cisco Live. The network is an intuitive, artificial intelligence (AI)-based system that anticipates actions and stops security threats as it evolves and learns. It's necessary, Robbins said, because the world will soon be at a point where millions of new devices will be added to the internet every day. To create the new networking solution, Cisco rewrote 25-plus years of software.