Let computers provision computers
Sync harnesses the computational power of physics to find the best way to provision the cloud for data/ML workloads
The Sync
difference:
The cloud compactor –
Sync automatically reconfigures and reschedules big data and ML jobs to make the cloud easier, faster, and cheaper.
Latest news:
Provision Databricks clusters based on cost and performance
Duolingo saves 55% on their production jobs!
What
we believe:
Let developers code
Developers shouldn’t be wasting time optimizing cloud infrastructure
The cloud is inefficient
Current schedulers are drastically inefficient, costing time and money
Business-led infrastructure
Business goals should inform infrastructure decisions, not the other way around
What we’re building:
Autotuner
Apache Spark configuration made simple: Just pick your desired cost and runtime, and we’ll auto-populate the rest.
Orchestrator
Schedule, launch, and tune thousands of complex jobs in multi-tenant environments to get the most efficient use of the cloud.
Committed to the
platforms you love:
coming soon
coming soon
coming soon
coming soon
coming soon