NVIDIA’s New AI: Nature Videos Will Never Be The Same! from Two Minute Papers.

News : NVIDIA Jetson Orin Developer Kit Emulation Performance.

News : NVIDIA AI Enterprise platform ...

The combined power of Red Hat OpenShift, the industry-leading, Kubernetes-powered hybrid cloud solution, and NVIDIA AI Enterprise offers a scalable platform that accelerates a diverse range of AI use cases.

News : How to configure Host Based Firewall with NVIDIA BlueField DPU.

As I said in the past, I do not present hardware, ... in the following video I present the configuration method for a hardware called Bluefield DPU using NVIDIA DOCA software.

NVIDIA® DOCA™ is the key to unlocking the potential of the NVIDIA BlueField® data processing unit (DPU) to offload, accelerate, and isolate data center workloads. With DOCA, developers can program the data center infrastructure of tomorrow by creating software-defined, cloud-native, DPU-accelerated services with zero-trust protection to address the increasing performance and security demands of modern data centers.

You can see more on the official website !

News : NVIDIA and Transformer AI models.

This is just a brief introduction to the capabilities of the technology from the NVIDIA team...

Transformer AI models are powering a new era of life sciences, helping researchers encode the structure and function of biology and chemistry, making sense of unstructured patient data, and improving detection and diagnosis in #medicalimaging. At the same time, advances in digital twin technology are powering researchers and clinical teams to simulate cells, organs, and surgeries to better understand workflows and improve patient outcomes. ...

News : NVIDIA new youtube videos.

Here, today I saw a lot of videos from Nvidia with the way it gets involved with new solutions.

News : NVIDIA intro for #SIGGRAPH 2022 !

... premiering at #SIGGRAPH 2022, Global Documentary Premiere: Wednesday, August 10, at 10:00 a.m. PT, you can add the event to your calendar: https://nvda.ws/3z9kltq !

Cyberpunk 2077 on RTX 3090.

The graphics are getting better and more important and you can see the implementations on the RTX video cards.

I found a video with the well-known game Cyberpunk 2077 played on an RTX 3090 Ti i9-12900KS 4k Gaming PC.

You can see a video from the DubStepZz youtube channel.

News : NVIDIA AI Enterprise Expands Support in the Virtualized Data Center.

On the Mar 12, 2022 Nvidia comes with this feature:

Run AI on VMware vSphere with Software Optimized, Certified, and Supported by NVIDIA: https://nvda.ws/34BvKqH.

News : Today join NVIDIA at CES 2022.

CES (formerly an initialism for Consumer Electronics Show) is an annual trade show organized by the Consumer Technology Association (CTA) and NVIDIA youtuve channel come with this ...

Join us for this virtual event to see the latest breakthroughs in accelerated computing—from design and simulation to gaming and autonomous vehicles.

News : The new NVIDIA Omniverse Avatar technology platform.

NVIDIA today announced NVIDIA Omniverse Avatar, a technology platform for generating interactive AI avatars. Omniverse Avatar connects the company’s technologies in speech AI, computer vision, natural language understanding, recommendation engines and simulation technologies. Avatars created in the platform are interactive characters with ray-traced 3D graphics that can see, speak, converse on a wide range of subjects, and understand naturally spoken intent.

News : Nvidia in the field of health.

The simulations revealed and helped solve various problems. Image processing is very complex for the human brain, which is why dedicated applications are used. An example in the field of health and graphic processing.

They show us and explain the implications in using these technical possibilities:

AstraZeneca is powering modern #machinelearning (ML) and AI to accelerate drug discovery with Cambridge-1, training models to learn the grammar of chemistry, and processing whole slide digital pathology images.

News : 2021 COMPUTEX - ICT Expo.

The official webpage can be found here.

Dates: Tue, Jun 1, 2021 – Sat, Jun 5, 2021

Location: Taipei World Trade Center, Taipei, Taiwan

This is AMD video intro:

... NVIDIA intro video:

News : SONiC by NVIDIA.

NVIDIA offers pure SONiC, a community-developed, open-source, Linux-based network operating system that has been hardened in the data centers of some of the largest cloud service providers.

Why Choose SONiC from NVIDIA?

• 100% open source;
• ASIC to Protocol Support;
• Partner with Thought Leaders;
• Choice of Network Operating System;
• World class switch ASIC;
• Unified Management

You can read the whitepaper from here.

News: NVIDIA lets you access Clara Parabricks Pipelines.

It is very interesting and very useful news for those who process and process data.

Based on Broad Institute’s Genome Analysis Toolkit (GATK), NVIDIA Clara Parabricks Pipelines is a ready-to-run, GPU-accelerated software suite for DNA Germline variant calling for population genomics, DNA Somatic variant calling for cancer genomics and RNA sequencing projects from whole-transcriptome to single-cell analysis. Optimized for speed, accuracy, and scalability, Clara Parabricks Pipelines can run the GATK4.1 Best Practices and is fully configurable, allowing users to choose which steps, parameter settings, and versions of the pipeline to run.

NVIDIA Developer channel and Blender 3D.

The NVIDIA Developer youtube channel comes with this great intro for Blender3D software and RTX features.
Blender is an open-source 3D software package that comes with the Cycles Renderer. Cycles is already a GPU enabled path-tracer, now super-charged with the latest generation of RTX GPUs.
Furthering the rendering speed, RTX AI features such as the Optix Denoiser infers rendering results for a truly interactive ray tracing experience.
To try it yourself and learn more about NVIDIA RTX accelerated denoising inside of the Blender viewport, visit https://www.blender.org/download/rele...

News: About the NVIDIA DLSS 2.0

This past week, NVIDIA announced an update to its Deep Learning Super Sampling technology, aptly dubbed DLSS 2.0.
Deep Learning Super Sampling named DLSS is an NVIDIA RTX technology that uses the power of AI to boost your frame rates.
DLSS essentially takes lower-resolution imagery, and intelligently upscales it to looks like native, higher-resolution output.
Performance was universally improved to varying degrees since the game was being internally rendered at a lower resolution, but image quality wasn’t always optimal and sometimes resulted in unwanted artifacts.
The old DLSS 1.0’s effect on game visuals and performance was a mixed bag, that varied from title to title.
The new DLSS 2.0 comes with DLSS 2.0 improved the quality, balanced, and performance by leveraging the Tensor cores available in its GeForce RTX-series GPUs.
Let's see one example:

NVIDIA video cards and CUDA feature.

Today I search on web information about video cards for processing, neural networks, and rendering.
If you use it with Blender 3D software or Neural networks then you need a GPU with CUDA feature.
My destop works with an old NVIDIA Corporation GT218 [GeForce 210] (rev a2) video card and this not help me very much.
The CUDA platform is a software layer that gives direct access to the GPU's virtual instruction set and parallel computational elements, for the execution of compute kernels. see Wikipedia.
This software uses the CUDA feature. Let's see all of these informations about desktop Nvidia GPUS ordered by CUDA core count.

GPU	CUDA cores	Memory	Processor frequency
GeForce GTX TITAN Z	5760	12 GB	705 / 876
NVIDIA TITAN Xp	3840	12 GB	1582
GeForce GTX 1080 Ti	3584	11 GB	1582
GeForce GTX TITAN X	3072	12 GB	1000 / 1075
GeForce GTX 690	3072	4 GB	915 / 1019
GeForce GTX TITAN Black	2880	6 GB	889 / 980
GeForce GTX 780 Ti	2880	3 GB	875 / 928
GeForce GTX 980 Ti	2816	6 GB	1000 / 1075
GeForce GTX TITAN	2688	6 GB	837 / 876
GeForce GTX 1080	2560	8 GB	1607 / 1733
GeForce GTX 780	2304	3 GB	863 / 900
GeForce GTX 980	2048	4 GB	1126 / 1216
GeForce GTX 1070	1920	8 GB	1506 / 1683
GeForce GTX 970	1664	4 GB	1050 / 1178
GeForce GTX 770	1536	2 GB	1046 / 1085
GeForce GTX 680	1536	2 GB	1006 / 1058
GeForce GTX 760 Ti (OEM)	1344	2 GB	960
GeForce GTX 670	1344	2 GB	915 / 980
GeForce GTX 660 Ti	1344	2 GB	915 / 980
GeForce GTX 1060 (6GB)	1280	6 GB	1506 / 1708
GeForce GTX 960 (OEM)	1280	3 GB	924 / 980
GeForce GTX 760 192-bit(OEM)	1152	1.5 GB / 3 GB	980 / 1033
GeForce GTX 760	1152	2 GB	980 / 1033
GeForce GTX 1060 (3GB)	1152	3 GB	1506 / 1708
GeForce GTX 660 (OEM)	1152	1.5 GB / 3 GB	823 / 888
GeForce GTX 960	1024	2 GB	1127 / 1178
GeForce GTX 950 (OEM)	1024	2 GB	935 / 980
GeForce GTX 590	1024	3 GB	630
GeForce GTX 660	960	2 GB	980 / 1033
GeForce GTX 1050 Ti	768	4 GB	1290 / 1392
GeForce GTX 950	768	2 GB	1024 / 1188
GeForce GTX 650 Ti BOOST	768	2 GB	980 / 1033
GeForce GTX 650 Ti	768	Wikipedia1 GB	928
GeForce GTX 1050	640	2 GB	1354 / 1455
GeForce GTX 750 Ti	640	2 GB	1020 / 1075
GeForce GTX 645 (OEM)	576	1 GB	823
GeForce GTX 750	512	1 GB	1020 / 1085
GeForce GTX 580	512	1536 MB
GeForce GTX 480	480	1536 MB
GeForce GTX 570	480	1280 MB
GeForce GTX 295	480	1792 MB
GeForce GTX 470	448	1280 MB
GeForce GTX 745 (OEM)	384	4 GB
GeForce GT 740	384	1 GB / 2 GB
GeForce GT 730	96-384	1 GB / 2 GB	700 / 902
GeForce GT 635 (OEM)	384	2 GB
GeForce GTX 650	384	1 GB
GeForce GTX 560 Ti	384	1 GB
GeForce GTX 560 (OEM)	384	1280 MB / 2560 MB
GeForce GT 640	384	2 GB
GeForce GTX 465	352	1 GB
GeForce GTX 560 Ti (OEM)	352	1280 GB / 2560 GB
GeForce GTX 460	336	1 GB
GeForce GTX 560	336	1 GB
GeForce GTX 460 SE	288	1 GB
GeForce GTX 555 (OEM)	288	1 GB
GeForce GTX 285 for Mac	240	Wikipedia1 GB
GeForce GTX 285	240	1 GB
GeForce GTX 280	240	1 GB
GeForce GT 720	192	1 GB / 2 GB
GeForce GT 710	192	2 GB	954
GeForce GTS 450	192	1 GB
GeForce GTX 550 Ti	192	1 GB
GeForce GT 630 (OEM)	192	1 GB / 2 GB
GeForce GT 640 (OEM)	144 / 384	1 GB / 2 GB
GeForce GT 545 GDDR5 (OEM)	144	1 GB
GeForce GT 545 DDR3	144	1.5 GB / 3 GB
GeForce GTS 250	128	1 GB
GeForce GTS 150	128	1 GB
GeForce GTS 240 (OEM Product)	112	1 GB
GeForce GT 630	96	1 GB	700~902
GeForce GT 620	96	1 GB	700
GeForce GT 440	96	1 GB	810
GeForce GT 430	96	1 GB	700
GeForce GT 530 (OEM)	96	1 GB / 2GB
GeForce GT 340 (OEM)	96	1 GB
GeForce GT 330 (OEM)	96-112	1 GB / 2GB
GeForce GT 240	96	1GB
GeForce GT 320 (OEM Product)	72	1 GB
GeForce GT 705 (OEM)	48	1 GB
GeForce GT 620 (OEM)	48	1 GB
GeForce GT 610	48	1 GB
GeForce GT 520 (OEM)	48	1 GB / 2 GB
GeForce GT 520	48	1 GB
GeForce GT 220	48	1 GB
GeForce 605 (OEM)	48	1 GB
GeForce 510 (OEM)	48	1 GB / 2 GB
GeForce 405 (OEM)	16	1 GB
GeForce 310 (OEM)	16	1 GB

News : NVIDIA VMware Test Drive.

The NVIDIA VMware Test Drive gives you instant access to hours of accelerated, virtualized graphics—for free.
You can start with:

• FREE 90-DAY EVAL 
• PURCHASE NVIDIA VIRTUAL GPUs:  just for these countries: Brazil, China, France, Germany, India, Italy, Japan, Latin, Poland, Russia, Spain, Turkey, United Kingdom.

Read more about this feature here.

Linux Graphics Debugger - version 2.0.

This article come with this new release about the new tool from NVIDIA named Linux Graphics Debugger. The development team tells us:

Linux Graphics Debugger is a 3D graphics development tool that allows developers to debug and profile OpenGL 4.x on Linux. It enables professional graphics developers to get the most out of their NVIDIA GeForce and Quadro GPUs on a variety of Linux distributions. This tool supports desktop class GPUs and inherits from the many man-years of investment in OpenGL development tools from the Tegra Graphics Debugger and NVIDIA® Nsight™ Visual Studio Edition.

System Requirements

Minimum supported Operating Systems for Linux Graphics Debugger:

• Ubuntu v12.04, v14.04, v16.04
• Redhat v6.5
• Centos v6.6

Supported Graphics APIs:

• OpenGL v4.2 - v4.5 core with over 100 extensions

Display Driver:

• Version 2.0 requires Linux driver version 370.23 or newer