What Are Distributed Compute Nodes?
Distributed Compute Nodes (DCNs) are a cutting-edge solution for scaling computational workloads by leveraging the power of multiple GPUs.
Unlike traditional single-GPU setups, DCNs allow you to pool GPUs together, enabling parallel processing at an unprecedented scale.
Anything that can be run in parallel, will be.
How Can DCNs Transform Your Workflows?
With DCNs, you can run machine learning models, complex algorithms, and Bend code across a flexible, on-demand GPU network.
DCNs maximize efficiency, reduce execution times, and empower teams to achieve productivity breakthroughs in GPU-intensive tasks.
Why Choose Distributed Compute Nodes?
Seamless Integration
Deploy with ease using our API or dashboard.
Cost Efficiency
Pay only for the compute power you need.
Real-time Monitoring
Track performance and resource usage live.
Flexible Scaling
Scale resources up or down on demand.
Global Network
Access GPUs from data centers worldwide.
24/7 Availability
Always-on infrastructure when you need it.
How We Make Deploying with DCNs Easy
Pick Your GPUs
Start by selecting the GPUs you need. Use our API, wrapper, or dashboard to build the perfect pool for your workload.
Deploy in Minutes
Upload your code or docker image seamlessly. Whether it's machine learning, algorithms, or Bend code, deployment is quick and hassle-free.
Run and Track Progress
Execute your tasks and monitor them in real time. Stay in control and optimize your workflow with live performance insights.
Parallel Pools:
Powering Your Workloads
Parallel Pools let you combine multiple GPUs into a unified group, working together to execute workloads faster and more efficiently. Whether it's machine learning, complex algorithms, or Bend code, Parallel Pools unlock the full potential of parallel computing.
Ready to Get Started with Parallel Pools?
Start scaling instantly.
Create your first Parallel Pool in minutes and experience the future of GPU computing.