DISTRIBUTED COMPUTE
DISTRIBUTED COMPUTE
Here you'll find our news, including press releases, and anonymized case studies. Figures are reference values representing typical results for each project.
Company names are withheld for confidentiality.
A video production studio adopted Smart Render for VFX rendering on a series, eliminating peak-time render queues and enabling more iterations before delivery.
An autonomous-driving company generated large volumes of synthetic video for physical-AI training, compressing procurement costs with GPU POOL and shortening data-generation lead times.
An IoT data company combined Edge DataCenter with Jasmy Chain for edge preprocessing and tamper resistance, achieving high availability while keeping network costs down.
A game studio parallelized lighting bakes for 3D assets with Smart Render, speeding up iteration and shortening development without sacrificing quality.
A generative-AI startup moved video-model inference to GPU POOL, scaling usage with demand and cutting GPU costs.
A research institution adopted GPU POOL for students and researchers, providing access to large-scale compute without expensive hardware and broadening the base of research.
* Company names are withheld for confidentiality. Figures are reference values representing typical results for each project and do not guarantee outcomes.
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