NVIDIAMedia and EntertainmentAI and Machine LearningMedia and ContentCost ReductionCustomer ExperienceRevenue GrowthSpeed to Market2025NVIDIANV#76b900Media and EntertainmentGlobalSkyrim.AI needed to deliver real-time, broadcast-quality spatial media for sports, but volumetric capture from dozens of cameras created interoperability, reconstruction, networking, and data-throughput challenges that…120 frames per secondApr 30, 20256Atlas platform · GPUDirect Storage · NIM02025-04-306
Skyrim.AI needed to deliver real-time, broadcast-quality spatial media for sports, but volumetric capture from dozens of cameras created interoperability, reconstruction, networking, and data-throughput challenges that traditional broadcast stacks could not handle efficiently.
↗Over a terabit of data moved through the pipeline
↗Reduced development time by a full year
Reported impact
Business outcome
Skyrim.AI cut development time by a full year, lowered infrastructure costs by replacing specialized hardware with software-defined workflows, and created a platform that supports new revenue streams, richer content production, and personalized sports experiences for global audiences.
Cost Reduction
Customer Experience
Revenue Growth
Speed to Market
Solution
Skyrim.AI built its Atlas platform as a software-defined spatial media stack on NVIDIA networking, capture, and inference technologies. Live camera data is sent directly into GPUs with GPUDirect and NVIDIA Rivermax using SMPTE 2110 low-latency transport and PTP synchronization, while NVIDIA Quantum InfiniBand, NVLink, and GPU clustering scale 3D reconstruction across distributed systems. For AI services, the company uses NIM microservices, Maxine NIM, and Instant NeRF-style workflows together with proprietary radiance-field models to reconstruct and render spatial scenes in real time. RTX 6000 Ada GPUs handle camera-to-GPU capture and current inference, while L40S and H100-class GPUs support rendering and future large-scale training. This architecture allows Atlas to deliver broadcast and in-venue experiences from the same spatial capture pipeline while keeping the platform adaptable for OTT, fantasy sports, and interactive fan experiences.
Data flow
More than two dozen 8K cameras stream synchronized data through Rivermax and GPUDirect into GPUs, reconstruction and radiance-field pipelines process the volumetric data across NVLink and InfiniBand-connected clusters, and Atlas delivers broadcast, venue, and interactive spatial outputs to downstream media experiences.
Solution architecture
9 components · 3 layers
Ingest
NVIDIA RivermaxOptimizes the low-latency capture pipeline from synchronized cameras into GPU processing.
GPUDirect StorageMoves camera data into GPU processing paths without CPU bottlenecks.
Compute
NVIDIA Quantum InfiniBand NetworkingTransfers 3D data across GPU clusters for large-scale, distributed reconstruction.
NVLinkSupplies high-bandwidth interconnect between GPUs inside the reconstruction stack.
NVIDIA RTX 6000 Ada Generation GPUsHandle camera-to-GPU capture and current inference workloads for the platform.
NVIDIA L40SSupports 3D rendering and planned future NIM inference workloads.
NVIDIA H100Provides the higher-end GPU tier Skyrim.AI uses or plans to use for large-model training.
Serving
Atlas platformActs as Skyrim.AI's software-defined spatial media stack for capture, reconstruction, and delivery.
NIMProvides interoperable AI microservices that help power inference across the spatial media pipeline.
Architecture clues
Different GPU tiers are assigned to capture, rendering, inference, and future training tasks.
Skyrim.AI uses a software-defined spatial media stack rather than hardware-bound broadcast workflows.
The capture path relies on PTP sync and SMPTE 2110 to keep multi-camera data tightly aligned.
Evidence from the source
By leveraging standardized solutions like Rivermax, development time has been significantly reduced by a full year.
Delivering real-time, broadcast-quality volumetric video involves moving over a terabit of data from more than two dozen 8K cameras at 120 frames per second via SMPTE 2110 directly into GPUs with GPU Direct.
NVIDIA's AI and GPU technologies, including NVIDIA NIM™ microservices, NVIDIA Quantum InfiniBand networking, and NVIDIA NVLink™, have enabled Skyrim.AI to build a scalable, high-performance infrastructure with real-time, broadcast-quality spatial media integration.
NVIDIA® GPUDirect® enables efficient data transfer from cameras to GPUs, bypassing the CPU.
NVIDIA® Rivermax® to enhance the capture pipeline, significantly reducing development time and costs.
Review how this reference was scored and trace each normalized claim back to its documented source.
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Scoring methodology
How scores are calculated
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Customer reference value90/100
Problem clarity20/20
Measures whether the customer's operational problem is specific enough to compare.
Implementation depth25/25
Rewards named components, data flow, integrations, and architecture detail.
Outcome specificity20/20
Measures whether the reported benefit is concrete rather than a generic claim.
Quantified impact15/25
1 metric describe measurable impact.
Deployment scale10/10
Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence89%
Source authority20/25
The main evidence is an official vendor-published customer story.
Claim traceability21/25
10 of 12 key fields link to a named source.
Direct evidence20/20
5 direct source quotes retained.
Date provenance10/10
The publication date comes from the source page or publisher.
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