Improve performance.

Reduce costs.

Maximize utilization.
No idle resources.

Eliminate wasteful compute by automatically suspending and resuming workloads based on activity. This reduces resource fragmentation and the need to reserve capacity based on static demand estimates.

Before/After Cedana

CPU/GPU Workload utilization. Use cases includes serverless infrastructure, dev tools, generative AI, scientific computing and hyperscalers.

Before
30% Utilized
70% Idle
After
85% Utilized
15% Idle
20MS
NATIVE
3MS
CEDANA

Lightning fast cold starts

From webservers to 30GB+ LLMs models, accelerate boots by 3x or more. Eliminate the boot process by resuming from a fully initialized state.

CPU and GPU support

Save, migrate and resume (SMR) transparently across CPU (Intel, ARM) and GPU (nVidia) workloads. One API seamlessly provides SMR capabilities across different hardware. No code-modifications required.

Product benefits

Save, migrate and resume utilization

HOW IT WORKS

Real-time compute orchestration.

ORCHESTRATION

Increase reliability
and availability

RELIABILITY

Get started

Play in the sandbox

We’ve deployed a test cluster for you to play with where you can interact and experiment with the system.

Sandbox

Get a demo

Learn more about how Cedana is transforming compute orchestration and how we can help your organization.

Connect

API Reference & Guides

From deploying on your cluster, to market, to GPU Checkpointing, learn our system and get started quickly.

VIEW DOCS
Backers / Partners