Ai tools for media content creation: Asia Media Summit 2025 – RadioInfo Asia

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25 July 2025 · Conference · News · Training
The first day of this year’s Asia Media Summit offered a range of workshops for broadcasters across the Asian region.
Workshop topics included Ai, Digital Newsrooms, Transmission, Sustainability, Disinformation and Youth.
In one of the full day workshops, developed by Steve Ahern for AIBD and IPPTAR, about 30 broadcasters learnt how to apply the latest Ai tools to their work in radio, television, podcasting and drama production.
Demonstrating the power of Ai to animate still pictures if you construct the right prompt instructions, Ahern took a group shot and transformed it into realistic video footage using Ai. The original, real, group photo is above. The video below is not real, it was generated from a prompt that said: “Start with this still photo of a group of people and turn it into a 10 second video where the people are cheering and clapping, with sunbeams and sparks coming out of their hands when they clap.”

The pros and  cons of using Ai were discussed, including a warning that Ai tasks use more energy than normal searches and are not necessarily environmentally friendly.
As responsible usage of Ai develops, professional media outlets that plan to use it will need to hold suppliers accountable for their energy usage and will also need to use it efficiently so as not waste resources or staff time. Training is needed to guide staff in the responsible use of Ai.
“It’s an exciting new tool, but we have to be aware that every Ai request is very power hungry…
“There are other things to watch out for too. Putting too much information into the open via Ai may not be a good idea for security and competitive-advantage reasons… and don’t forget, whatever you can make, someone else who is peddling disinformation can make too and use it to create fakes.”
 
Low cost openly accessible tools demonstrated in the training session included:
A range of higher level, more expensive professional tools were also demonstrated, including:
Ahern said one of the trends now for the more cost efficient tools is a ‘pay as you go’ payment model based on minutes used, rather than a high monthly or annual subscription.
Translation is now also an important Ai use case, but its success depends on the amount of linguistic data used to train the Ai models. For minority languages, such as Khmer, the language spoken in Cambodia and nearby countries, there is not enough training data to deliver fast accurate translation. Broadcasters are likely to be the source of language training as Ai models expand to other languages, so perhaps it would be in the interests of broadcasters to develop their own in-house Ai translation tools and sell the results, rather than letting the public Ai bots take that coverage and use it without the ability for broadcasters to generate income from their copyrighted content, suggested Ahern.

Two KBS Korea specialists in Ai audio and video, Han Ju-yeol and Yim Young-jae,  discussed their findings when using Ai for their productions. Learnings included:
Violent or horrific things are difficult to make with AI, due to the intentional limitations of the technology that will not create graphic death or horror scenes.
When making a historical documentary about battles in the middle ages, Han found that the Generative Ai video tools could not create authentic looking Korean armour because it was mostly trained on the look of armour worn by Western knights. The Chinese Ai tool Kling was the most successful at creating Asian style armour.
Intentional limitations on copying real artworks or designs are imposed on most Ai generators, so as not to breach copyright. This resulted in the inability to create a realistic drama scene where a Korean flag was shown on a flagpole.
The pair made the point that many broadcasters and content creators are using the tools, but without establishing professional workflows to ensure that teams work consistently and most efficiently.
They also advised that detailed prompts are needed to create the best results. For example, don’t just ask ‘create a scene of two men fighting.’ Instead, give more detail such as: ‘Create a fight scene that is 15 seconds long where two men are fighting. One man is dressed in a dark hoodie and track pants while the other is dressed in a blue TShirt and jeans. One has long hair, the other has short hair and tattoos. One man is carrying a knife and the other man is holding a chain.’
ChatGPT is not at the professional level yet, according to the Korean experts, but they found that it is good at creating prompts to use in other professional tools such as OpenArt and Photoshop.
Some tools are more accurate at responding to prompts than others. Han has found that Google’s Veo 3 is “one of the most advanced Ai models for prompt responsiveness.”
For audio, one of the most significant Ai uses is for vocal and audio separation in music, as used by Paul McCartnery in the Beatles’ track ‘Then and Now.’  “It can be used for remastering of legacy audio,” said Yim. “There is no longer a need for multitrack originals, you can remix from a finished song and separate the elements,” he said.

Also in the workshop, two Malaysia based lawyers, Teeruvarasu K Muthusamy and Vimal Sathiaseelan explained the legal implications of using Ai to generate professional content. Key points included:
Can broadcasting organisations claim copyright over works they generate using AI? Based on the legal definition of Artificial Intelligence, the test relates to how ‘original’ is the work and who is the eligible copyright owner.
A core principle in determining whether ownership can be claimed for a work that uses Ai is whether there was ‘sufficient effort’ put in by humans to make the work unique.
These two points are important for media companies to consider because if they sack most of their human staff and create most of their content with Ai, they will no longer be able to claim any ownership of their content creation because they have not put ‘sufficient human effort’ into the creative process.
World laws are still developing in relation to Ai copyright. According to the lawyers, in US law, anything made by AI “immediately goes to the public domain and cannot be copyrighted.” But China is moving in a different way, “it is viewing Ai as a tool, owned and used by the people involved, so that the copyright can be held by the people or company involved.”
The first comprehensive legal framework around Ai is the European Union’s AI Act of 2024. Other jurisdictions have regulations, but no legislation yet. “The EU has acted early to establish principles and a framework. Its aim is to provide a high level of legal protection for content creators and other stakeholders,” said the lawyers.
They suggested that media organisations should develop and publish documented policies and procedures to say how AI is being used, and they should make sure there is human oversight, so that you can claim ‘sufficient effort’ as a basis for their copyright.

Speaking in the workshop, Cambodia’s Under Secretary of State at the Ministry of Information, Ouk Kimseng, a former journalist, radio presenter and tv news reporter, emphasised the difference between how content creators approach Ai. There are those who work for professional media companies who take their legal and ethical obligations seriously, contrasted with the unregulated amateur content creators who either don’t know about professional obligations, or don’t care about them because their aim may be to create disinformation.
 
Participants evaluated the workshop as a success and left with new tools to use and a plan to take back to their organisations on how they can responsibly introduce Ai to their media businesses.
 
Related report: Accurate and timely information access is one of the foundations of a democratic society: Asia Media Summit 2025
 
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OrangeSky Takes Off with SEO Solutions for Charter Operators, Elevating Aviation Marketing Strategy – azcentral.com and The Arizona Republic

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OrangeSky Websites, based in Phoenix, Arizona, is making a new move into the aviation world with its specialized Search Engine Optimization (SEO) services aimed at charter operators. This shift is part of their larger goal to deliver complete online solutions, specifically catering to the unique challenges faced by businesses within aviation.
The company is focusing on boosting the online profiles of various aviation-related businesses. This includes private jet charters, private plane companies, Fixed Base Operators (FBOs), and those involved in Maintenance, Repair, and Overhaul (MRO) services. By creating SEO strategies tailored to these areas, OrangeSky Websites seeks to increase visibility and draw new potential clients to these businesses. For more information about their SEO services for charter operators, visit their page on SEO for Charter Operators.
SEO for private jet charter
“Understanding the specific marketing needs of charter operators allows us to deliver customized SEO strategies that truly make a difference,” said G. Sanchez, who heads OrangeSky Websites. “Our team is committed to helping aviation businesses not just stand out, but thrive in an increasingly competitive landscape.”
OrangeSky’s approach to SEO hinges on using high-value keywords that relate directly to each aviation niche. This careful planning helps improve a website’s search engine ranking, which leads to more qualified business leads. Part of their strategy also involves making sure websites load quickly and are easy to use on mobile devices—features that are crucial for the best-performing aviation sites.
But OrangeSky Websites isn’t stopping at SEO. They also offer web development services specifically designed for private jet charter companies. Known for being custom WordPress website developers, they create websites that are not only easy on the eyes but also secure and user-friendly. Their sites come standard with features like secure payment gateways and high-quality images, showing the attention to detail that goes into each project.
OrangeSky is committed to showing clients tangible results. They provide regular analytics and performance reports so clients can see how effective their SEO campaigns are. This approach is all about being open and accountable, highlighting their commitment to helping clients succeed.
“Our goal is to be more than just a service provider; we aim to be a reliable partner in our clients’ growth journey,” G. Sanchez continued. “Through detailed metrics and ongoing support, we ensure not only the execution of effective strategies but also continuous improvement and adaptation to the changing digital landscape.”
Additionally, OrangeSky Websites offers services like pay-per-click advertising and support for hosting and maintenance. These added services guarantee that businesses receive round-the-clock support for everything they need online, from keeping their website running smoothly to directing targeted traffic through expertly designed ad campaigns.
By expanding its services to the aviation field, OrangeSky Websites positions itself as a valuable ally to businesses wanting to grow their digital presence. Their deep understanding of the industry and dedication to tailored solutions reinforces their reputation as a reliable partner in achieving online success.
This announcement reflects OrangeSky Websites’ focus on continuous innovation and the use of strategies that are specific to the sector. By doing this, they not only meet the current needs of aviation-related businesses but also help prepare them for future challenges and opportunities in digital marketing.
With their in-depth focus on SEO for Charter Operators and ongoing work as custom WordPress website developers, OrangeSky Websites continues to strengthen its reputation in the industry. This strategic shift reasserts their commitment to providing excellent service and driving growth for their clients.
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Sundar Pichai net worth: Indian-origin Google CEO becomes a billionaire as Alphabet shares near record hig – The Economic Times

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Alphabet Inc.’s strong earnings, fueled by AI demand, have propelled CEO Sundar Pichai into billionaire status as the company’s market value surpasses $1 trillion. To maintain its competitive edge in the AI race against rivals like Microsoft and OpenAI, Alphabet plans a significant increase in capital expenditure, projecting $85 billion for 2025.

(Catch all the Business News, Breaking News, Budget 2025 Events and Latest News Updates on The Economic Times.)
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10 Ways Artificial Intelligence Optimization (AIO) is Changing Digital Marketing – Vocal

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10 Ways Artificial Intelligence Optimization (AIO) is Changing Digital Marketing  Vocal
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The AI Content Optimization Gold Rush: Why SMEs Can't Afford to Miss This SEO Revolution in 2025 – AInvest

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Tracking the pulse of global finance, one headline at a time.
The digital landscape is undergoing a seismic shift, and SMEs stand at a crossroads. With AI-driven content optimization tools now powering 74.2% of new webpages, the question isn’t whether to adopt these tools—it’s how to do so strategically to dominate SEO and engagement metrics. Let’s dissect the data, challenges, and opportunities to uncover why this is the year to act.
While 88% of global marketers use AI daily, only 40% of SMEs are fully on board—lagging far behind enterprises. This gap is narrowing fast: 92% of businesses (including SMEs) plan to invest in generative AI within three years, and 60% will boost budgets in 2025. The hesitation? Cost concerns (35%) and data privacy fears (49.5%) remain top barriers.
But the upside is staggering. Companies using AI tools publish 42% more content monthly and report 50% faster growth than traditional methods. For SMEs, this isn’t just about keeping up—it’s about leaping ahead.

AI’s impact on SEO is no longer theoretical. Tools like Retisio and AutoLinking.ai are delivering measurable results:
– Predictive search intent modeling boosts customer lifetime value by 5–25%.
– Automated internal linking improves crawlability, while AI-driven backlink analysis identifies high-quality links 3x faster than manual methods.
– Real-time SERP analysis adapts to Google’s 13,280+ algorithm experiments annually, ensuring content stays relevant.
Yet, human oversight remains critical. A full 97% of companies edit AI content before publishing, and 80% manually verify accuracy to avoid penalties. This creates a niche for tools that blend AI efficiency with “humanized” polish—like Undetectable AI, which boosts CTR by 1.33% compared to raw AI outputs.

AI-generated content isn’t just faster—it’s more effective. SMEs using humanized AI see:
– 45.41% more impressions and 60% more clicks than non-humanized rivals.
– 25.6% of marketers rate AI content “more successful” than human-written alternatives.
However, AI Overviews (like those from Perplexity) pose a threat: they reduce organic clicks by 34.5%. But here’s the twist—90% of buyers still click through to featured sources. To win this game, SMEs must prioritize brand mentions over backlinks: brands with strong web visibility have a 25% chance of appearing in these summaries.
The hurdles are real:
– 43% of marketers lack the skills to maximize AI’s potential.
– 70% report insufficient training on ethical AI use.
This creates an opening for training platforms (think Coursera or Udacity courses tailored to AI SEO) and cost-effective tools designed for budget-conscious SMEs. Privacy-focused solutions will also surge in demand, as 49.5% of businesses remain wary of data leaks.
The market is ripe for disruption. Here’s where to focus:
1. AI SEO Tool Providers: Companies like Bright Data and SEMrush are already innovating in predictive analytics and automated link-building.
2. Humanization Tech: Invest in startups (e.g., Undetectable AI) that add a “human touch” to AI content, avoiding detection and penalties.
3. Training Platforms: Upskilling SMEs in AI SEO could be a goldmine—70% of marketers need it.
4. Enterprise-SME Hybrid Solutions: Tools that scale with businesses (e.g., HubSpot’s AI features) offer long-term growth potential.
The $144 billion AI marketing market by 2030 isn’t a distant dream—it’s within reach for those who act now.
The numbers are clear: AI isn’t optional. For SMEs, the choice is between strategic adoption—leveraging SEO tools to outrank competitors—and strategic neglect, fading into obscurity.
Invest in platforms that combine scalability, privacy, and human oversight. Train teams, prioritize brand visibility, and embrace the AI-first SEO era. The gold rush is here—dig deep, or get left behind.



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The AI Revolution in Financial Content: How Generative Tools Are Reshaping Fintech Marketing, SEO, and Investor Engagement – AInvest

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The AI Revolution in Financial Content: How Generative Tools Are Reshaping Fintech Marketing, SEO, and Investor Engagement  AInvest
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AI vs Human Creativity: Who Wins in Digital Marketing? – Nasscom

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The last five years have seen more significant changes in digital marketing than the previous twenty years. With only a few clicks, Artificial Intelligence (AI) tools can now write, design, analyze, and optimize campaigns, which is at the core of this change.
As AI grows and is being used more widely, a big question keeps coming up:
Can AI replace human creativity in digital marketing?
Let’s look into this question by analyzing every side’s contributions, advantages, disadvantages, and potential areas of improvement.
Many of the tools that marketers use daily are already backed by AI, so it’s no longer science fiction. Whether you’re optimizing social media content, personalizing emails, or running Google ads, AI is likely handling some of the difficult tasks.
Here are the main areas where AI excels:
Large data sets can be processed and analyzed by AI in a couple of seconds. Artificial intelligence (AI) provides marketers with insights that would take humans hours or even days to identify, such as analyzing user behavior and forecasting the most successful phrases.
Have you ever noticed how Instagram advertisements for topics you just discussed or how your Netflix recommendations are strangely accurate? AI is at work there. For millions of users, it is impossible to manually personalize stuff based on their location, tastes, behavior, and other factors.
AI tools can schedule posts, respond to basic customer queries, run A/B testing, and even write product descriptions, freeing up marketers to focus on strategy and creativity.
AI eliminates the need for guessing in marketing decisions. AI makes sense out of data, whether it’s deciding when to post, selecting the most effective images, or more specifically targeting ads.
Despite its intelligence, AI is not a human. And that’s important, particularly in marketing,  which is all about connecting with people.
Here’s what human creativity brings that AI can’t replicate:
People purchase emotions, stories, and experiences rather than goods. The most effective advertising efforts, such as Dove’s “Real Beauty” and Nike’s “Just Do It,” created a connection with viewers. These ideas come from human insights, not algorithms.
AI performs best with data that already exists. It gains knowledge from past actions. Humans, on the other hand, are capable of coming up with courageous, creative thoughts that have the potential to become viral, start discussions, or even change our perception of a brand.
A machine may not understand why certain images might offend or why a joke might not be acceptable in a specific country. Human instinct and understanding are still far more effective in areas like comedy, sarcasm, cultural sensitivity, and even time.
Humans can change, improvise, and develop when a campaign fails or a new trend emerges. AI requires training. Individuals are able to make immediate decisions and adjust in real time.
So, who wins?
Neither – and both.
The real power lies in collaboration. Here’s why:
Consider a producer of music. AI is capable of perfectly mixing tracks and playing instruments, but only human artists are able to create songs that trigger strong emotions.
Instead of choosing between AI and people, smart marketers use both. Here’s how:
Use Human creativity for: Brand storytelling, Visual design ideas, Campaign concepts, Emotional messaging, Humor, tone, relatability. 
For example:
Let’s say you’re launching a new product.
It’s not a battle – it’s a partnership.
In the future, brands that can successfully combine AI’s skills with human perception and emotion will be the most successful.
Tools like ChatGPT, Canva AI, Jasper, and Google Performance Max are making it easier than ever to scale and test ideas, but without human creativity, these tools are just templates waiting for a spark.
Whether you’re a marketer, a business owner, or a content creator, the message is clear:
AI is designed to enhance creativity in digital marketing, not to replace it. Think of AI to be your creative collaborator, assisting you in making better decisions, working more efficiently, and moving more quickly. However, only a human being can bring to life the core of your brand, which includes your voice, story, and values.
So who wins – AI or humans?
The ones who use both.
 
 
 
 
 
 
 
 
 
 
 
 

 
 
 
 
 
 
 
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Cumbria-based social media consultancy launches new AI course – Cumbria News and Star

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Cumbrian small businesses are being encouraged to get ahead of the artificial intelligence (AI) curve with the launch of a new online course.
Virtual Bell Creative, a Cumbria-based social media consultancy, has launched Smart Social which aims to help businesses build confidence in using AI tools to improve their digital marketing.
The two-hour course takes place on September 8 and is designed for sole traders and small business owners.
Bekah Fowler Bell, founder of Virtual Bell Creative, said: “AI is an amazing time-saving tool, but it’s not a replacement for strategy, personality or local insight.
“Small businesses need more than just tips and tricks – they need confidence, creativity and the ability to adapt to get ahead of the technological curve.
“That’s what this course is all about.”
The session is delivered online in groups of no more than 10, “ensuring sessions are interactive, tailored and supportive.”
Participants will learn how to use tools like Canva and ChatGPT, plan and schedule content that aligns with their brand, and stay on top of digital trends.
The course also covers how to avoid common social media mistakes that can damage engagement.
Each session will have real examples, group discussions, and ‘one-on-one’ time with Ms Fowler Bell.
The course is priced at £50 and is already proving popular, with two previous sessions fully booked and only four places remaining for the upcoming September course.
Feedback from past participants has been positive.
Jackie, a shop owner from Ambleside, said: “It was one of the best short courses I’ve ever done – full of insight but easy to follow, and Bekah made everyone feel welcome no matter their level.”
Ms Fowler Bell has more than 30 years of media experience, having worked as both a radio presenter and writer.
She began Virtual Bell in 2020 with the aim of supporting businesses in the area who needed help during lockdown.
The business has since evolved to the point where she now works exclusively with Cumbrian businesses.
She became an advisor for Cumbria Chamber of Commerce this year.
Ms Fowler Bell currently presents the weekday breakfast show for CRFM, Carlisle’s community radio station on a voluntary basis, on top of running her own business.
To book a place on the September 8 course, or to find out more, visit www.virtualbell.co.uk or email bekah@virtualbell.co.uk.
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NVIDIA Blackwell – architecture with new capabilities for AI and content creation – hi-Tech.ua

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NVIDIA Blackwell
 
Important achievements of the video accelerator industry in recent years are not only the increase in their direct performance, but also the development of related software products and algorithms. Using the same power, they allow you to process and generate a larger amount of content in real time. We described this in detail in the article about the capabilities of the new NVIDIA Blackwell architecture in games with DLSS and Multi Frame Generation technologies.
 
 
The Blackwell architecture that underpins the new graphics cards is designed with the needs of artificial intelligence in mind. It includes fifth-generation tensor cores, supports new neural shaders, is equipped with GDDR7 memory, and is optimized for processing complex ray-traced render scenes and working with video.
 
Tensor cores are special components in RTX graphics cards designed to quickly perform calculations related to artificial intelligence, especially such as large matrix multiplication. It is on such operations that modern neural networks and the so-called artificial intelligence are based.
 
In the latest, fifth generation of Tensor cores (present in video cards NVIDIA GeForce RTX 50-series), these cores are even faster and have wider registers, that is, they can “process” more data simultaneously. This allows you to run complex artificial intelligence models on a regular computer. Such models include, for example, image generators or advanced chatbots. Some professional applications have also gained access to AI functions that work faster when using the GPU. This allows us to talk about wider use of such graphics solutions outside the gaming context.
 
Despite the fact that the introduction of AI into workflows began earlier, today we are witnessing an active expansion of generative technologies. They cover more and more areas, from creating media content to automating tasks. GeForce RTX 50 graphics cards based on the Blackwell architecture are considered the technical basis for comfortable work in the new era of AI-based tools. In this article, we will analyze the main software and algorithmic innovations of NVIDIA in the field of neural networks and artificial intelligence.
 
 
Nvidia Studio
 
For GeForce RTX users, the company offers two driver options. Game Ready is focused on gaming and provides support for new games. Studio is designed for professional use, with an emphasis on stability in creative applications, such as video editing and 3D rendering.
 
Despite the difference in focus, both drivers support key features. The Studio driver is updated faster in the context of professional tasks – for example, one of the latest updates added support for TensorRT and the FP8 format to work with Stable Diffusion 3.5. At the same time, the set of gaming fixes in Studio is identical to Game Ready.
 
Next, we will talk about specific NVIDIA software products that use artificial intelligence algorithms and new architectural features.
 
 
NVIDIA Broadcast
 
A separate niche is occupied by NVIDIA Broadcast software, which improves the quality of broadcasts. The program is available both through the NVIDIA App and separately from the website. It provides processing of microphone sound and camera images using AI algorithms.
 
Among the functions are noise reduction, echo cancellation, and Studio Voice to improve sound to studio level. The latter option requires significant GPU resources, so it is recommended for high-performance models.
 
For video, there are AI-based effects, frame auto-centering, virtual backgrounds, and gaze direction correction. Noise reduction and Virtual Key Light functions for lighting are working in beta mode.
 
GeForce RTX 50 graphics cards support AV1 hardware encoding with 4K@60 fps transmission, which is already being tested in Twitch Enhanced Broadcasting. In the future, this format may become a standard on streaming platforms.
 
And one of the biggest advantages is that NVIDIA Broadcast software is free for all GeForce RTX graphics card owners.
 
 
The Blackwell architecture includes ninth-generation NVENC/NVDEC for accelerated video encoding/decoding. Among the innovations are support for AV1 Ultra High Quality and 10-bit 4:2:2 color format, which is important for professional work.
 
Unlike 4:2:0, which is used by consumer devices, 4:2:2 provides more accurate color reproduction. For example, the new RTX 5090 demonstrates 11 times faster processing of 4:2:2 video compared to the Intel Core i9-14900K CPU.
 
In Premiere Pro, CapCut, DaVinci Resolve and Filmora, RTX 50th generation video cards also provide significant acceleration. Exporting files with the RTX 5090 is 4 times faster than on the RTX 3090. Hardware support for multi-threaded rendering allows you to process multiple videos in parallel.
 
Adobe software actively uses GPUs to optimize features — from Scene Edit Detection to Auto Reframe. DaVinci Resolve offers a set of AI features, including UltraNR, IntelliTrack AI, and SuperScale.
 
 
Generative AI is changing the approach to 3D modeling — scene preparation is simplified, and the ability to automatically generate textures and models appears.
 
NVIDIA GeForce RTX 5090 demonstrates noticeable acceleration in Autodesk, Blender, V-Ray, D5 Render, and more. Blackwell architecture supports ray tracing, noise reduction, and DLSS 4.
 
NVIDIA’s Audio2Face solution is used to synchronize facial animation with voice, which is becoming relevant for gaming and 3D projects.
 
 
NVIDIA not only offers its own tools based on artificial intelligence, but also ensures the effective operation of tools in third-party applications. AI is intensively integrated into the work of digital artists. Photoshop, for example, has a set of Neural Filters for portrait processing, and Super Resolution allows you to enlarge images without losing quality.
 
The Firefly–Photoshop–After Effects program combination allows you to create images and animations, edit them in one environment. Substance 3D Collection also uses AI algorithms, including Text to Texture.
 
Apps like ON1 Resize AI for photo scaling are also supported. Stability AI’s new SPAR3D model, in collaboration with NVIDIA, converts 2D objects into detailed 3D models.
 
 
NVIDIA Remix
 
RTX Remix is a set of tools for improving the visual component of games. The platform translates the DirectX 8/9 API to Vulkan and allows you to add path tracing, DLSS 4, new textures and materials.
 
These capabilities were demonstrated in the Portal RTX remaster. Half-Life 2 RTX is currently in development, which will receive completely updated graphics with tracing and support for new technologies. In particular, such solutions as RTX Skin and RTX Volumetrics have been added. RTX Skin is a subsurface scattering technology for creating realistic skin for virtual characters. RTX Volumetrics, in turn, allows you to create realistic volumetric lighting taking into account particles and atmospheric effects.
 
 
Chat RTX
 
Two assistants are available to GeForce RTX users: Chat RTX and Project G-Assist. The first allows you to work with local files using a language model (for example, Llama or Mistral). The assistant processes data from documents and gives relevant answers. Voice input is supported.
 
Project G-Assist is focused on interaction with the PC – it helps with video card settings, launching games, recording videos and other functions. It recognizes voice commands (in English) and provides advice on optimizing settings.
 
 
One of the key highlights of the RTX 50 series announcement is the ability to bring generative AI workflows directly to content creators’ PCs using NIM.
 
NVIDIA NIM (NVIDIA Inference Microservices) is a set of pre-built, optimized inference microservices that can be run locally on accelerators.
 
NIM simplifies the development of AI applications using standard APIs and tools that can be run on local systems. NIM also supports custom models and offers enterprise-grade features with dedicated support.
 
AI Blueprints are pre-configured workflows for implementing complex AI scenarios. These solutions are built on NVIDIA NIM (NVIDIA Inference Microservices) microservices and combine multiple models and tools in the form of reference applications.
 
AI Blueprints are focused on the applied use of AI in business, in particular in text processing, video analysis, image generation, building virtual assistants, etc. NVIDIA positions them as ready-to-deploy solutions that can be adapted to the needs of a specific project.
 
 
 
Creators and content creators rarely lack inspiration. However, they may not have the time or knowledge of the tools that would allow them to realize their creative ideas faster. NVIDIA GeForce RTX 50-series graphics cards seem to satisfy this need, allowing them to perform more efficiently and conveniently. At the same time, they reduce the factors that can limit the implementation of ideas.
 
NVIDIA graphics adapters are actively used in professional environments for working with video, graphics and 3D modeling. Thanks to hardware acceleration of processing, they have long become an integral part of workstations focused on content production. Today, new tools based on artificial intelligence are being introduced into such applications, in particular generative models, which affect the change in approaches to working with graphic and 3D content.
 
The Blackwell architecture, on which the new generation of video cards is built, is designed taking into account the needs of neural computing. This allows you to significantly speed up the execution of relevant tasks in modern software complexes. Support for such capabilities is not limited to the professional NVIDIA RTX line – many tasks are effectively processed by consumer GeForce RTX 50 models.
 
For working with large neural networks and processing volumetric data, preference should be given to graphics processors with an expanded amount of video memory. In particular, the GeForce RTX 5090 and RTX 5080 models provide the necessary resources not only for demanding games, but also for stable work with complex AI applications and digital content creation.
 
The algorithms, technologies and functions we have described make the GeForce RTX 50 series video cards a qualitatively new solution in the field of content and the use of artificial intelligence. You can buy NVIDIA GeForce RTX 50 video cards at Telemart, where many models are already available.
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NVIDIA technologies that were previously only available to owners of professional graphics cards are now open to ordinary users. Let’s talk about the capabilities of the Blackwell architecture in the field of artificial intelligence and content creation.
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