Media & Entertainment
10 articlesContent Provenance and Deepfake Detection: GPU Planning for Broadcast
Provenance signing is cheap and reliable; deepfake detection is expensive and unreliable. Broadcasters should invest in C2PA-style credentials for their own output and treat detection as a triage aid, not…
AI Restoration at Archive Scale: GPU Throughput Planning
Restoring a film archive is a throughput problem measured in frames, not files. A two-hour feature is around 172,800 frames, and a thousand-title library is billions. This shows how to…
Gaussian Splatting in Studio Pipelines: What It Changes for GPU Fleets
3D Gaussian splatting reached production tooling in 2026 with native support in Nuke 17, Houdini 21, OpenUSD 26.03 and V-Ray 7. It renders orders of magnitude faster than NeRF, which…
Virtual Production and LED Volumes: Real-Time GPU Sizing
An LED volume is a hard real-time system: the wall must render camera-correct perspective every frame or the illusion breaks. This sets out how to size render nodes from wall…
Text-to-Video in Production: GPU Planning for Content Pipelines
Studios in 2026 route between video models by scene type rather than standardising on one. Per-second API pricing spans roughly $0.05 to $0.75, and iteration multiplies it. That economics decides…
Media GenAI Workstation Sizing Guide for India
A media GenAI workstation in India must be sized to the heaviest concurrent task — video diffusion, audio synthesis, or multi-modal editing — not the average workload. GPU VRAM, NVMe…
AI Dubbing at OTT Scale: GPU Pipelines for Indian-Language Localisation
AI dubbing runs five GPU stages - ASR, translation, voice synthesis, lip-sync rendering and QC - cutting localisation cost up to 10x as regional languages pass 60% of Indian OTT…
Generative AI in the VFX Pipeline: GPU Planning for Studios
Generative stages now sit inside the VFX pipeline: diffusion previs on 24-48 GB artist seats, roto and upscale batches on farm nodes, video generation on 80 GB-class hardware. Indian studios…
Media Rendering and Generative AI Workstation Planning
Planning a workstation for media rendering and generative AI requires careful consideration of GPU capabilities, memory requirements, and compliance with data governance frameworks. Leveraging the latest NVIDIA GPUs, such as…
Media & Entertainment: GPU for Rendering + Generative AI (India)
GPUs now sit inside the production pipeline, not beside it. Indian studios use them for rendering, AI denoising, real-time in-camera VFX, and generative video — with executives expecting 80–90% efficiency…