Orchestrate GPU Workloads Without the Headaches
Data Brain Technologies is now a partner with Ravel Orchestrate
Whether you’re training AI models, rendering complex VFX, or running high-performance simulations, Ravel helps you manage the compute chaos. It brings structure, speed, and simplicity to GPU infrastructure—no matter where it runs.
Orchestrate workloads across available GPUs/CPUs (on-prem, edge, and cloud), ensuring minimal idle time. Plus no coding involved. This means:
- More customer jobs can run concurrently.
- Underutilized GPUs are automatically matched to queued workloads.
- You get more revenue per GPU per hour.
Why Choose Ravel Orchestrate?
Today’s workloads demand more than raw power—they need coordination. Ravel helps teams move faster and scale smarter by taking care of the backend complexity.
Built for modern compute:
- Smarter Scheduling – Assigns jobs where they’ll run best (and cost least)
- Cloud, On-Prem, Edge – Run anywhere, without rebuilding pipelines
- Clear Cost Control – Know exactly where resources are going—and what they’re costing
Not Just Orchestration—A Full GPUaaS Solution
Ravel isn’t just a scheduler. It’s the control layer for GPU-as-a-Service. That means it doesn’t just manage your GPUs—it helps you deliver them as a flexible, scalable service to your teams or customers.
With Ravel + GPUaaS, you can:
- Spin up GPU resources instantly, wherever you need them
- Scale up (or down) without overprovisioning
- Charge back usage to projects or departments
- Keep things running smoothly, even across clouds or regions
What Can You Use Ravel For?
- AI & Machine Learning-Keep model training on schedule and costs under control. Works with existing MLOps stacks.
- Visual Effects & Rendering-Render faster with intelligent job distribution and cloud bursting when local resources are maxed out.
- High-Performance Computing (HPC)-Schedule and monitor large-scale simulations, research, and modeling jobs without getting stuck in queues.
- Platform & DevOps Teams-Give internal teams self-service GPU access—while keeping visibility, security, and governance intact.
Who’s Using It?
Ravel was built for the people who actually live in this infrastructure every day.
- AI/ML teams who want fewer bottlenecks and faster training cycles
- VFX teams delivering high-res content on tight deadlines
- HPC researchers who need predictability and throughput
- Infra & Ops teams managing hybrid environments and watching costs
Let’s Talk
Data Brain Technologies along with our partner Ravel Orchestrate can now provide full solution GPUaaS. We take the grunt work out of GPU management, so your team can focus on building, creating, and solving hard problems—not fighting with infrastructure.