// Case Study

Enhancing Virtual Experiences with AWS Pixel Streaming for BlackHat Labs

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// client engagement
Written by NextGen Coding Company Engineering Team — senior U.S.-based software engineers and solution architects
Technically reviewed by NextGen Principal Architect (AWS Certified Solutions Architect, 15+ yrs building production systems in fintech, healthcare, and tax technology)
Published Last updated

Client Background

BlackHat Labs, a creative technology studio, partnered with NextGen Coding Company to push the boundaries of immersive digital experiences. The project centered around the official DJ Khaled website, where the goal was to introduce a live, interactive 3D chatbot that captured DJ Khaled’s personality, voice, and energy.

The virtual experience needed to be lifelike, scalable, and accessible across all devices — from high-end PCs to mobile phones — without requiring users to download or install specialized software.

The Problem

To deliver a photorealistic, responsive, and interactive 3D DJ Khaled chatbot, BlackHat Labs faced several technical challenges:

  • Real-time 3D rendering required immense GPU power and low latency.

  • The experience needed to scale for tens of thousands of simultaneous users worldwide.

  • The platform had to maintain smooth performance on both powerful and low-end devices.

  • Security, global accessibility, and cost efficiency were critical to sustaining performance during viral traffic spikes.

The solution demanded cloud-based GPU rendering and streaming technology capable of transforming 3D Unreal Engine content into an interactive web experience — without sacrificing fidelity or responsiveness.

Our Solution

NextGen Coding Company engineered a high-performance virtual interaction system using AWS Pixel Streaming, integrating Unreal Engine, cloud GPUs, and global content delivery services to deliver a seamless, scalable experience.

Real-Time Rendering with AWS Pixel Streaming

  • Implemented AWS Pixel Streaming to render the DJ Khaled 3D chatbot entirely in the cloud.

  • All rendering was performed on AWS EC2 G4 instances powered by NVIDIA T4 GPUs, streaming visuals directly to web browsers in real time.

  • User inputs (voice commands and messages) were transmitted back to the cloud instantly, enabling dynamic responses from the chatbot with no client-side performance limitations.

Scalable and Low-Latency Infrastructure

  • Configured AWS Auto Scaling Groups to dynamically allocate GPU resources during live events or peak usage periods.

  • Utilized Amazon CloudFront for global content delivery, ensuring smooth streaming with minimal latency regardless of user location.

  • Optimized network paths through adaptive bitrate streaming, automatically adjusting video quality based on user bandwidth.

Interactive User Experience Design

  • Integrated the streaming service within the official DJ Khaled website using AWS Amplify and React, ensuring full compatibility with existing web infrastructure.

  • Designed responsive front-end components that enabled users to engage seamlessly on both desktop and mobile devices.

  • Enhanced interactivity using Amazon Kinesis to handle real-time user input streams and trigger chatbot responses instantly.

Security, Availability, and Asset Management

  • Deployed Amazon S3 for secure, high-speed access to 3D assets, audio clips, and animation files.

  • Implemented AWS Shield and AWS WAF to protect against DDoS attacks and ensure uninterrupted availability.

  • Configured IAM roles for controlled access, safeguarding critical media resources and user interaction data.

Cost-Optimized Cloud Operation

  • Leveraged on-demand EC2 instances for temporary rendering sessions and released resources during off-peak hours.

  • Achieved cost savings through dynamic provisioning while maintaining consistent performance under load.

Results

NextGen’s AWS-powered implementation transformed DJ Khaled’s website into a landmark digital experience, achieving both scalability and innovation.

  • Immersive Real-Time Experience: Fans interacted directly with a lifelike, 3D-rendered DJ Khaled chatbot featuring authentic voice responses and animations.

  • 100,000+ concurrent users supported during the launch, with zero downtime due to auto-scaling GPU infrastructure.

  • 40% increase in user engagement, driven by prolonged session durations and viral sharing of the virtual experience.

  • Latency reduced to sub-200ms, ensuring smooth real-time interactions even under global traffic.

  • Cross-device accessibility achieved through browser-based streaming, enabling high-quality performance on mobile and desktop without additional downloads.

  • Operational costs reduced by 25% via dynamic scaling and resource optimization.

By combining AWS Pixel Streaming, React, and Unreal Engine, NextGen delivered a cutting-edge, cloud-powered experience that redefined celebrity-fan interaction in real time.

Why It Matters

NextGen’s implementation demonstrated how AWS Pixel Streaming can revolutionize virtual engagement for entertainment brands. By merging real-time 3D rendering, cloud scalability, and interactive AI, the project set a new standard for immersive digital storytelling—bridging the gap between technology and entertainment.

Call to Action

NextGen specializes in delivering high-performance cloud streaming and immersive 3D experiences using AWS, Unreal Engine, and AI technologies. From entertainment to enterprise, we help organizations bring interactive digital worlds to life.

→ Book a consultation with NextGen https://nextgencodingcompany.com/contact

Contact admin@nextgencodingcompany.com or book a call to speak with our solutions team to begin scoping https://calendly.com/next_gen_coding_company/30min

// case study faq

Frequently asked questions

What did NextGen actually build in this engagement?
NextGen designed and shipped a production system end to end: architecture, data model, application code, integrations, security review, and deployment. A senior U.S.-based team owned delivery from discovery through launch, and the client kept full ownership of the codebase and cloud accounts.
How long does an engagement like this take?
Most engagements of this shape run eight to sixteen weeks from kickoff to production. A discovery and architecture sprint takes two to three weeks, the first working release lands around week six, and the remaining time covers hardening, integrations, and rollout support.
What technologies were used?
This engagement was delivered with AWS Pixel Streaming, Unreal Engine, Nvidia GPUs. A senior U.S.-based team owned the architecture and the implementation, and the client kept full ownership of the codebase and cloud accounts.
Can NextGen deliver a similar outcome for us?
Yes. We start with a paid discovery sprint that produces an architecture, a scope, and a fixed price or a staffed team plan. From there you can proceed with a fixed-scope build or a dedicated team. Book a call and we will scope your project against this case study.
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