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disguise announces collaboration with NVIDIA

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Mumbai: disguise has announced a new collaboration with NVIDIA to integrate the NVIDIA Omniverse platform with disguise’s platform for immersive experiences. Creatives will soon be able to connect their preferred digital content creation (DCC) tools, like Maya, Cinema 4D, 3ds Max and more, in a unified production pipeline. This connectivity allows for easier and quicker changes, enhanced content production, the ability to work in full fidelity and a lower barrier of entry for accessing media and entertainment workflows.

Today, content creators are required to keep up with fast-paced on-set changes, multiple versions of content and unfamiliar workflows. With multitudes of DCC tools for both 2D and 3D content creation existing separate from rendering tools and applications, more unified content management workflows and solutions are needed.

disguise has a 20-year history powering the world’s most spectacular visual experiences including live concerts for artists like Beyonce, location-based experiences like Illuminarium, virtual productions for Netflix and Amazon Prime, extended reality stages for companies like Siemens and Verizon and broadcast coverage for ITV and TUDN. disguise is a production platform delivering the next dimension of visual experiences, bridging the physical and the virtual. Its combination of 3D visualization software, cloud solutions, platform, hardware and services provides creatives and technical teams with the ability to realize any creative vision – no matter the complexity.

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NVIDIA Omniverse is an extensible platform enabling individuals and teams to build custom 3D pipelines and simulate large-scale virtual worlds faster than ever. With Omniverse, 3D design teams can work across multiple software suites to collaborate in real time in a shared environment.

“By opening up the production pipeline to standard DCC tools, the available talent pool grows dramatically, overcoming talent shortages across media and entertainment. This is the rising tide that lifts all boats. The integration with NVIDIA Omniverse connects content creation tools to industry-leading real-time engines such as Unreal Engine, and opens up future avenues for connecting AI-assisted content creation workflows that are evolving rapidly and taking the industry by storm,” says disguise chief product and technology officer Raed Al Tikriti.

The integration builds on disguise’s existing RenderStream capabilities, which is a bi-directional protocol transporting rendering information between third-party render engines and disguise. RenderStream allows for greater synchronicity of content and tracking data across the production workflow as well as the seamless merging of the physical and virtual worlds.

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Additionally, through the connection to disguise’s cloud platform, remote teams and productions can easily collaborate. This suite of applications includes disguise Drive for unified upload and storage, and Previz for importing, previsualizing and sharing 3D interactive scenes for any production.

“Today’s toughest content production challenges require improved productivity and efficiency,” says NVIDIA vice president of Omniverse platform development Richard Kerris. “Through the combination of disguise and NVIDIA Omniverse, technical and creative professionals can take their 3D visualization and virtual production workflows to the next level.”

A preview of the integration will be shown at NVIDIA GTC on 23 March at 1 p.m GMT in the session titled ‘How to increase productivity in Media & Entertainment with NVIDIA-enabled end-to-end workflows’.

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iWorld

Meta plans 8,000 layoffs in new AI-led restructuring wave

First phase from May 20 may cut 10 per cent workforce amid AI pivot.

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MUMBAI: At Meta, the future may be artificial but the cuts are very real. The social media giant is reportedly preparing a fresh round of layoffs, with an initial wave expected to impact around 8,000 employees as it doubles down on its artificial intelligence ambitions. According to a Reuters report, the first phase of job cuts is slated to begin on May 20, targeting roughly 10 per cent of Meta’s global workforce. With nearly 79,000 employees on its rolls as of December 31, the move marks one of the company’s most significant workforce reductions in recent years.

And this may only be the beginning. Sources indicate that additional layoffs are being planned for the second half of the year, although the scale and timing remain fluid, likely to be shaped by how Meta’s AI capabilities evolve in the coming months. Earlier reports had suggested that total cuts in 2026 could reach 20 per cent or more of its workforce.

The restructuring comes as chief executive Mark Zuckerberg continues to steer the company towards an AI-first operating model, committing hundreds of billions of dollars to the transition. Internally, this shift is already visible: teams within Reality Labs have been reorganised, engineers have been moved into a newly formed Applied AI unit, and a Meta Small Business division has been created to align with broader structural changes.

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The trend is hardly isolated. Across the tech sector, companies are trimming headcount while investing aggressively in automation. Amazon, for instance, has reportedly cut around 30,000 corporate roles nearly 10 per cent of its white-collar workforce citing efficiency gains driven by AI. Data from Layoffs.fyi shows over 73,000 tech employees have already lost jobs this year, compared with 153,000 in all of 2024.

For Meta, the move echoes its earlier “year of efficiency” in 2022–23, when about 21,000 roles were eliminated amid slowing growth and market pressures. This time, however, the backdrop is different. The company is financially stronger, generating over $200 billion in revenue and $60 billion in profit last year, with shares up 3.68 per cent year-to-date though still below last summer’s peak.

That contrast underlines the shift underway. These layoffs are less about survival and more about reinvention. As Meta restructures itself around AI from autonomous coding agents to advanced machine learning systems, the question is no longer whether the company will change, but how many roles will be left unchanged when it does.

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