Image & Video
Run image and video pipelines at scale
Deploy production image and video workloads with fast startup times and on-demand autoscaling — without managing infrastructure.
Production infrastructure for demanding media workloads at scale.
Why Cerebrium for video/image?
Features
Why Cerebrium for video/image?
Built for bursty, unpredictable traffic
Spin up containers globally in 1–2 seconds, even under sudden traffic spikes. Cerebrium scales CPU and GPU workloads on demand without pre-warming or reserved capacity, so you can handle bursts without over-provisioning or idle cost.
NVIDIA H100
Ideal for demanding inference and training tasks
AMD MI300X
High memory bandwidth for large context windows
NVIDIA A100
Optimized for most LLM inference workloads
NVIDIA L4
Efficient choice for low-latency, cost-sensitive tasks
AWS Trainium
AWS chip production inference
Latest Compute, At Scale
Access the latest hardware - across B200s, H100s, L40S, AMD MI300X and more so you can balance performance and cost for every workload.
- Request
- Capacity
Pay only for the compute you use
Run image and video workloads with usage-based pricing down to the second, so costs scale with demand. Avoid idle GPU spend while still supporting large batch jobs and demanding media pipelines.
Performance without hardware lock-in
Cerebrium’s global orchestrator routes jobs across CPUs and GPUs in multiple regions and clouds to meet demand in real time. Workloads are scheduled where capacity is available, so even the most demanding image and video jobs run quickly without manual provisioning or capacity bottlenecks.
Examples
Generate Images using SDXL
Generate high quality images using SDXL with refiner
Real teams building with Video on Cerebrium
- Video
- Generative AI
Scaling AI Tutors: How Creatium Achieved 18x Faster Cold Starts with Cerebrium
- Video
- Digital Avatars
How Tavus Scaled Human-like AI Experiences with Cerebrium
- Digital Avatars
- Virtual Assistants
