Author Archives: yukti

jetson developer kits

Jetson Developer Kit is a little, amazing PC that lets you run different neural systems in equal for applications like picture grouping, object discovery, division, and discourse handling. All in a simple to-utilize stage that runs in as meager as 5 watts.

Jetson TX2 is the quickest, most force effective implanted AI registering gadget. This 7.5-watt supercomputer on a module brings genuine AI registering at the edge. It’s worked around a Pascal-family GPU and stacked with 8GB of memory and 59.7GB/s of memory data transfer capacity. It includes an assortment of standard equipment interfaces that make it simple to incorporate it into a wide scope of items and structure factors. The broadened Jetson group of inserted modules incorporates the lower-value Jetson TX2 4GB, which gives an incredible movement way to Jetson TX1 clients, the Jetson TX2, which is a 7.5-watt supercomputer on a
module that brings genuine AI processing at the edge, and the Jetson TX2i, whose rough plan is perfect for settings including modern robots and clinical hardware. The Jetson TX2 is more than twofold the exhibition and double the vitality proficiency of Jetson TX1, gives better and exactness to applications, for example, savvy urban areas, production line robots, and
prototyping. It underpins all the highlights of the Jetson TX1 module while empowering greater, more mind-boggling profound neural systems.

The new Jetson AGX Xavier module makes AI-controlled self-ruling machines conceivable, running in as meager as 10W and conveying up to 32 TOPs. As a component of the world’s driving AI processing stage, it profits by NVIDIA’s rich arrangement of AI apparatuses and work processes, which empower engineers to prepare and convey neural systems rapidly. Jetson AGX Xavier is bolstered by the NVIDIA JetPack SDK, which can assist you with sparing large by diminishing advancement exertion and cost. With the Jetson AGX Xavier designer unit, you can without much of a stretch make and send start to finish AI mechanical technology applications
for assembling, conveyance, retail, agribusiness, and the sky is the limit from there.

Quadro graphic card

Quadro cards are affirmed with an expansive scope of advanced proficient applications, tried by driving workstation makers, and sponsored by a worldwide group of help authorities. This gives you the genuine feelings of serenity to concentrate on accomplishing your best work. Regardless of whether you’re creating progressive items or recounting marvelously striking visual stories, Quadro gives you the presentation to do it brilliantly. The new versatile Quadro RTX 6000 brings indistinguishable R3D translate execution to its work area counterpart. Note that PCs utilizing this card will undoubtedly be over the top expensive, however, ASUS hasn’t nitty-gritty evaluating yet.

The Quadro RTX 8000 is the head of the range worker grade designs card which is ideal for top of the line virtual creation, particularly for sync of show frameworks where outline exact appropriation is required, for example, in-camera constant VFX. The engineering of the card itself is worked in light of dependability and sturdiness, for instance, the way cards ventilation takes into consideration air to be gone back through the instance of GPU to outside and down to the best approach to cards power circulation and utilization, that is fixed for no-nonsense use. The Quadro RTX 8000 can be joined with numerous GPU over NVLink this presently isn’t
pertinent to virtual creation in Unreal Engine as UE doesn’t bolster multi-GPU preparing, even though its an element being chipped away at and is immovably on Epics plan for the day. Multi-GPU can be utilized in numerous other delivering applications, however, so its cool to have as a
component. Designers and craftsmen would now be able to use the intensity of equipment quickened beam following, profound learning, and propelled concealing to significantly help profitability and make stunning substance quicker than at any other time.

Geforce graphic cards

The GEFORCE RTX 2080 Ti is as yet the quickest shopper illustrations card that you can stick into your gaming PC. The GEFORCE RTX 2070 Super can nail amazing 4K gaming execution on sensibly high settings makes it an incredible worth top of the line GPU, and one of our present top choices The RTX 2080 and GEFORCE RTX 2080 Super are both quicker illustrations
cards.GeForce RTX 2080 Super, the RTX 2070 Super may very well be the best Nvidia GeForce buy you’ll make. This illustrations card is great, particularly in 1440p gaming, and in case you’re hoping to buy into on the beam following a temporary fad, a beefed-up RTX 2070 that is additionally entirely moderate so essentially everybody can add it to their arrangement without burning up all available resources.

Gaming has built up a great deal since 1962 to 2020, particularly over the most recent couple of years. New games are attempting to include genuine encounters. Making characters that resemble a genuine individual, views which look genuine, and top-notch sound, are the principal target of a game maker. More excellent games have more interest than different games. Getting perhaps the best graphics cards on this page could be probably the smartest buy you make. Picking the best illustrations card that your financial plan can stretch to isn’t simply something that worries PC gamers. When it comes to gaming, the best GeForce designs cards are still rulers of the GPU realm, despite AMD’s Navi cards’ earnest attempts to give them
a decent run for their cash.

The PC additionally utilizes animation other than games. Opening and shutting of a window likewise incorporate movement. Utilizing better illustrations can make the framework smart. Notwithstanding that, PC supported planning programming additionally needs designs for a
smooth running. A PC game advances every year, and to deal with that additional information handling more created PC illustrations are required. Purchasing illustrations need more information than we might suspect. Heaps of information and benchmarking is considered before purchasing an appropriate card.

Amazon aws
AWS Storage 256 GB is a crossbreed distributed storage administration that gives you on-premises access to practically boundless distributed storage. Clients use Storage Gateway to improve capacity the board and decrease costs for key mixture distributed storage use cases.
These incorporate moving reinforcements to the cloud, utilizing on-premises document shares sponsored by distributed storage, and giving low inertness access to information in AWS for on-premises applications. AWS Storage Gateway interfaces an on-premises programming apparatus with the cloud-based capacity to give consistent combination information security highlights between your on-premises IT condition and the AWS Storage 64GB. You can utilize  the support of store information in the AWS Cloud for adaptable and savvy stockpiling that keeps up information security.

AWS Storage 128 GB empowers you to safely and effectively store reinforcements in the cloud. These incorporate database reinforcements, document share reinforcements, tape files, and the sky is the limit from there. Tape Gateway gives a virtual tape library, with each virtual tape
being put away in Amazon S3, and supports all significant reinforcement applications.
File Gateway encourages you to get to for all intents and purposes boundless cloud upheld document shares from on-premises, lessens your expenses of putting away information locally, and gives you extra adaptability by permitting you to get to your information in the cloud.
About all ventures, paying little heed to industry, need to store documents, regardless of whether they are reinforcements, media content, or concentrated vertical application datasets. AWS Storage Gateway gives on-premises access to for all intents and purposes boundless distributed storage. It gives a store that conveys low latencies for much of the time got to information and enhances information moves to AWS. AWS Storage Gateway is a quick, straightforward approach to begin in the cloud. AWS Storage gives secure transfer of changed information and secure downloads of the mentioned information, encoding information on the way between a door machine and AWS utilizing SSL. AWS Storage conveys start to finish
insurance of client information from the Storage Gateway in the undertaking system to the information dwelling in AWS.

State Technologies on behalf of Amazon apprise you about Amazon Lightsail which provides a number of features designed to help make your project quickly come to life. Designed as an all-in-one cloud platform, Lightsail offers you a one-stop-shop for all your cloud needs. Take a look
to see how we can help you get started on the AWS infrastructure.  

Lightsail virtual servers
Lightsail offers virtual servers (instances) that are easy to set up and backed by the power and reliability of AWS. You can launch your website, web application, or project in minutes, and manage your instance from the intuitive Lightsail console or API.

As you’re creating your instance, Lightsail lets you click-to-launch a simple operating system (OS), a pre-configured application, or development stack – such as WordPress, Windows, Plesk, LAMP, Nginx, and more. Every Lightsail instance comes with a built-in firewall allowing you to allow or restrict traffic to your instances based on source IP, port and protocol.
Once your instance is running you can create custom alarms and be notified by email or text message when something is out of the ordinary.

Simplified load balancing

Lightsail’s simplified load balancing routes web traffic across your instances so that your websites and applications can accommodate variations in traffic, be better protected from outages, and deliver a seamless experience to your visitors.
Additionally, Lightsail load balancers include integrated certificate management, providing free SSL/TLS certificates that can be provisioned and added to a load balancer in just a few clicks.
You can request and manage certificates directly from the Lightsail console – and we manage renewals on your behalf.

Managed databases
Launch a fully configured MySQL or PostgreSQL database in minutes and leave the maintenance to Lightsail. With Lightsail managed databases, you can easily scale your databases independently of your virtual servers, improve the availability of your applications, or run standalone databases in the cloud. You can also deploy multi-tiered applications, all within Lightsail, by creating multiple instances that are connected to a central managed database, and a load balancer that directs traffic to the instances.
Lightsail managed database plans bundle together memory, processing, storage, and transfer allowance into a single, predictable monthly price.

Upgrade to EC2
As your cloud ideas expand, you can easily move to EC2 with a simple, guided experience. With this feature, Lightsail offers you the comfort of knowing that as you grow your website or application we can help you scale in a way that fits your needs.Upgrading is simple, you’ll take a snapshot of your instance and follow the step-by-step process in the Lightsail console to export your snapshot to EC2. You can then use the Upgrade to EC2 wizard to get your new EC2 instance up and running.

Access to AWS services

Amazon Lightsail uses a focused set of features like instances, managed databases and load balancers to make it easier to get started. But that doesn’t mean you’re limited to those options –you can integrate your Lightsail project with some of the 90+ other services in AWS through
Amazon VPC peering.

You can manage the services in AWS using the AWS management console, while still keeping
your day-to-day management in the Lightsail console. It’s the best of both worlds!

Buy here

Nvidia Titan Rtx graphic card

Nvidia has introduced a new flagship graphics card Nvidia Titan Rtx graphic card in the form of the powerful and video titan rtx 24 gigabyte powered by the company’s new nvidia touring architecture and dubbed the t-rex the titan rtx graphics card is capable of providing 130 tera flops of deep learning performance and 11 gig arrays of ray-tracing performance features of the end video Titan r-tx 24 gigabyte graphics card include 576 multi precision touring tensor course providing up to 130 tera flops of deep learning performance 72 touring RT cores delivering up to 11 gig arrays per second of real-time ray-tracing performance 24 gigabyte of high-speed GDd r 6 memory with 672 gigabytes per second of bandwidth it’s more fastest with the previous generation and a 100 gigabytes per second and vidya envy link compared to tightening our TX GPU to scale memory and compute the end video Titan RT X flagship graphics card will be available later this month throughout the US and Europe priced at $2,499 touring is Nvidia’s biggest advance in a decade fusing shaders ray-tracing and deep learning to reinvent the GPU the introduction of t-rex puts touring within reach of millions of the most demanding PC users developers scientists and content creators. Buy Here

I will explain why the 24 GB Frame Buffer is a game changer for Memory bound application like Adobe Premiere and Mistika VR. I will compare the Titan RTX with my other graphics card – the Nvidia RTX 2080ti. If you have your eyes on the Titan RTX and looking for an upgrade in 8K stereoscopic VR video post-production. This is the video for you. Let’s dive right in! So the reason for my upgrade, if you follow my Instagram or facebook post, is I hit some kind of bottleneck on my 8K editing pipeline. I can’t deliver cut on time to the clients which lead to angry producer and angry clients. 8K editing and effects in Adobe Premiere,After Effects or blender eats a ton of memory b/c it’s all cuda accelerated playback it happens to fall on the GPU. So there are times where lots of immersive video filters or effects on my timeline, I’ll hit maximum memory allowance on the RTX card 11 gigabytes. To make thing worst, with third-party over clocking RTX will crash your system when you run out of frame buffer, which is the last thing you want. Titan RTX is NOT for everyone tho. If you are a VR gamer using the latest Oculus Rift S – you are not gonna benefit much from the Nvidia Titan Rtx graphic card. You better off stick to my other recommendation- the Nvidia RTX 2080ti or 2080. And if you are a serious VR gamer, well, you will also skip the Oculus Quest – the Oculus Rift S will be a better upgrade for you to leverage the Power of your gaming PC. Also, Nvidia Titan Rtx graphic card will not magically increase the playback and rendering speed of your current system unless you have a PC to match its power. To bring Titan RTX to its full potential,I ask Main gear to build me the PC dedicated to 8K VR editing and post-production using Adobe Premiere and After Effects. It is not a Gamer PC but a powerful workstation that can take on even 11K Insta360 Titan footage. I am not going to go into the detailed spec of my Main gear PC. This will be another video b/c it’s complicated. But just know, my CPU of choice is the Inteli9-9980XE – an 18 cores CPU with turbo boost to 4.40 GHz. Why not AMD RYZEN Thread ripper 2990WX with the 32-Core. There are many reasons why I choose Intel instead of AMD Thread ripper. But the most obvious one is Thunderbolt 3 support which I mentioned why in this video. Basically, my bottleneck on 8K 3D 360 production will be in the storage most of the time – and having a thunderbolt based RAID 0 drive like G-drive Shuttle XL or Laci 6-Big is essential. Okay, let’s take a look at my current Nvidia RTX 2080ti performance inside Adobe Premiere. Here is an 8K stereoscopic top and bottom project I did shot with the Insta 360 Pro 2. It won’t have a real-time playback no matter what GPU I used. So I will highly recommend you stick to my Proxy workflow right here. Premiere is kinda leveraging GPU acceleration- with CUDA for Nvidia Graphic Cards. But Premiere is not 100% utilize GPU render. So for regular 4k 2D video editing and rendering,you won’t benefit too much from Titan RTX. But for immersive video editing, all the effects or video filters you see here, are GPU accelerated. To easily see that, you can turn off Hardware acceleration and immediately see this RED warning bar. So to truly benefit from your fancy GPU, you need to make sure your video filters are all GPU accelerated. All native immersive video filters, Boris FX Continuum VR units, Mocha Pro, Mettle Mantra, Re:Vision Effects, and Neat Video denoiser you see here, are all GPU accelerated. Each decision you make on how to process your video footage will significantly impact your time spent on playback and render. And that is why so important to make smart choices. Not all VR video need sharpening if that mean saving you hours of rendering time. So my render of this 10-second 8K 3D video with all the immersive filters and ambisonic audio take around 17 minutes to finish. Looking at the resource monitor, both my CPU and my GPU are not maxed out. But the dedicated GPU memory is hitting 7.5- 8 GB. This is just a 10-second test. But for this video, which is 17 minutes long,way too long for VR, the GPU memory will entirely be hitting the 11 GB ceiling. You also see all the GPU stat here with the Task Manager and GPU-Z for reference. So now I switch to Titan RTX with the exact same PC from Main gear. Before I hit render. I open up Neat Video Version 5 here and take a look at the performance. When I use ONLY GPU render, I get average 1.03 frame per second, which is faster than CPU with 0.8 frames per second. I can relocate more GPU memory to this render to increase the speed, which I can’t on the RTX 2080ti 11GB memory. The total render time of the exact same 10-second clip took about 13 minutes to finish – which is 4 minutes increase speed. It does not look significant, but think about it, it adds up. The longer the clip and more GPU accelerated video filters, the more time you will save. That is more time you can be productive instead of waiting around or screaming at your PC. Take a look at the monitor here, the CPU is less taxing compared to the RTX 2080ti and we use 21.5 GB memory on this render – which is significantly higher. You also notice GPU resource is around 70%compared to 2080ti, which is around 50%. Is that mean Premiere is more optimize to Titan RTX? We don’t know. We are using the Studio

With over 2.4 billion monthly active users & growing, it is impossible to handle these active users without machine learning. Ever wonder how Facebook suggests the list of people “You may know”. It reads your interests & likes, your friends & also their friends, and analyze your profile with its machine learning algorithms. Facebook uses machine learning in many aspects lets talk about some of them.

Facebook was initially built for connecting people across the world using an image, video, and text. People from different countries speak different languages so it was necessary to remove the communication barrier. Facebook uses an automatic language translation system that enabled people to interact with different languages.

If you recently upload a pic it suggests you add a tag, and send a notification to tagged person if someone uploads your photo it will send you a notification immediately. Facila recognization is among the aspect of Facebook for machine learning.

Facebook uses DeepText which is a text engine based on deep learning that can understand thousands of posts in a second in more than 20 languages.
Not just facial recognization Facebook also use news feed, textual analysis, and targeted advertising,

HP SL270s

In 2013, Facebook begins its initial deployments with the HP SL270s G8 system for AI research. Because of the additional presentation of the most recent age NVIDIA Tesla V100 GPU quickening agents, we likewise redesigned the head-hub to Tioga Pass for extra CPU execution and multiplied the PCIe data transfer capacity between the CPUs and GPUs. Source From Facebook.

Facebook uses FacebookLearner for its machine learning pipeline.

You have a business and you also want to analyze data you can use a wide range of Nvidia products like-

Quadro RTX 8000

WasteNet (An AI Platform Trash-Talking Garbage Can) -State Technologies.

Ever wonder a talking garbage can that suggest you separate the trash, just show your trash to the garbage can and it will tell you to separate the wet and dry part of the trash. How easy is that! AI is making inventions interface easy to use. It is hard to find the wet and dry parts of the trash because we use different kinds of trash made from different kinds of materials. This dustbin comes with a full solution to this problem. Hassan Murad and Vivek Vyas have developed the world’s largest garbage dataset and offer an AI-driven trash-sorting technology.

Approx 1 million pictures are made conceivable by the conservative supercomputing of the NVIDIA Jetson TX2 AI module for the detection of the items. This engineer’s startup is based in Vancouver, it uses machine learning and computer vision to see which kind of trash people are holding as they show trash towards the garbage can. This garbage can show visuals and tells people how to separate the waste.

Let’s see what Murad say about their AI Platform Trash-Talking Garbage Can
“Oscar is a grouchy, trash-talking AI. It rewards people with praise if they recycle right and playfully shouts at them for doing it wrong,” said Murad.

For their startup, they choose Nvidia product the story behind choosing Nvidia product is said by Murad. 

The startup’s system needs to work fast. After all, who wants to wait by a garbage bin? Initially, the founders used every possible hardware option on the market for image recognition, said Murad, including Raspberry Pi and Intel’s Movidius.But requiring that people wait for up to six seconds — the result of their early hardware experiments — for where to toss an item just wasn’t an option. Once they moved to NVIDIA GPUs, they were able to get results down to half a second.“Using Jetson TX2, we are able to run AI on the edge and help people change the world in three seconds,”  said Murad.