Deployment
Tandemn combines a fleet-wide planner with the Tandemn execution engine. The planner determines how workloads should be configured and placed; the execution engine connects those decisions to your existing infrastructure. Together, they help your GPUs serve more workloads while keeping your stack in place.
Ready today. Tailored to your stack.
Tandemn’s open-source system runs on Kubernetes and can help you serve more workloads today in homogeneous or heterogeneous GPU clusters, whether you operate a single resource pool or multiple pools.
Enterprise support and custom integration tailor the planner and execution engine to your serving stack, workflows, and infrastructure requirements. We work with your team to replay workload traces, validate performance, and integrate Tandemn across your fleet.
Initial conversation
Map your models, stack, and success measures.
Replay your traces
Evaluate planning on your workload patterns.
Sandbox validation
Validate your models and serving stack.
Review results
Compare with your fleet’s baseline.
Fleet-wide deployment
Connect planning to your existing fleet.
Measure impact
Effective capacity, GPU utilization, and cost.
Join enterprises getting more from their GPUs.
We’d love to understand your workloads and infrastructure. We’ll walk through where Tandemn fits, how planning connects to your existing systems, and what an integration would involve for your fleet.