Broadcasters needed a faster and more affordable way to create premium video at high volume, but traditional studio production and human-presenter workflows were too slow and expensive for always-on, frequently updated content channels.
Reported impact
Hour One helped broadcasters produce AI-generated video in minutes, launch new premium content series with near-instant turnaround, run a 24/7 virtual-anchor format more economically, and create highly monetizable video without the overhead of traditional studio production.
Hour One built its Reals self-service video platform on NVIDIA GPUs with NVIDIA CUDA, NVIDIA cuDNN, and NVIDIA RTX so broadcasters can turn text into fully produced videos with virtual presenters in minutes. Users select a layout, choose from virtual characters or custom avatars, and submit script text through a browser-based cloud workflow. Under the hood, GPU-accelerated training pipelines build and refresh the models behind virtual humans, while the same cloud clusters handle inference and 3D rendering for finished scenes and virtual sets. The stack combines high-memory GPU compute for AI models with RTX-accelerated rendering so Hour One can serve generative video and avatar production from a single platform rather than separate media and ML systems. This architecture gives customers like RAN and DeFiance Media near-instant text-to-video generation and a practical way to publish premium broadcast content without the cost and limits of traditional studio workflows.
Broadcasters enter text and choose layouts or avatars in Reals, Hour One's cloud pipelines train and run models on NVIDIA GPUs with CUDA and cuDNN, RTX-backed rendering produces the final virtual scenes, and finished videos are published to broadcast and digital channels.
Near-instant AI video generation simply from text inputs is a highly cost-effective way to generate premium video that is highly monetizable.
Our cloud offering enables our customers to enjoy all the benefits of Generative AI and 3D rendering through their web browser with a few clicks.
The NVIDIA GPU, CUDA, and CudNN frameworks enable the team to train state-of-the-art models at a fast pace to meet customer needs.
Using NVIDIA's solutions, the team at Hour One was able to boost all their high-compute, high-memory-intensive workloads, including complex AI and media pipelines on the GPU and 3D rendering in their cloud clusters.
With its self-service platform, Reals, broadcasters can access Hour One's technology more easily than ever, generating fully-produced videos automatically in just minutes.
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
The company profile says Hour One AI 'is headquartered in Tel Aviv, Israel, with an office in New York.'
The Organization JSON-LD lists addressLocality 'Tel Aviv' and addressCountry 'Israel'; it exposes only a numberOfEmployees range of 11-50 rather than an exact count.
The Organization JSON-LD lists addressLocality 'New York', and addressCountry 'US', and numberOfEmployees value 29.
Related
NVIDIA Sample Sep 14, 2026 Pinterest Pinterest needed to serve vision-language AI for shopping and discovery at internet scale, but multimodal requests involving thousands of images created prefill-heavy inference, memory pressure, and routing challenges… 14,000 NVIDIA GPUs AI Configurator · Dynamo Planner · NVIDIA Blackwell B200 GPUs NVIDIA Sample Aug 25, 2026 Neuron Systems Neuron Systems needed an always-on AI sports newsroom that could analyze every play, sustain multi-agent reasoning during long live broadcasts, and generate multilingual commentary without the latency, rate limits, and… 1 million audited AI traces NVIDIA CUDA · NVIDIA H100 GPUs NVIDIA Sample Aug 25, 2026 PYLER PYLER needed to verify brand safety across millions of videos per day, but keyword and rule-based moderation could not provide the semantic precision, throughput, or operating cost profile required for real-time… 10X reduction in operational costs NVIDIA CUDA · NVIDIA DGX Platform · NVIDIA Mission Control 