SEGMENT 04 / INFRA
Inference / ML Systems FDE
Make models fast, reliable, scalable, and economical in production.
WHAT IS FORWARD DEPLOYED?Model serving infrastructure
REPRESENTATIVE ORGANIZATIONS
BasetenModalInference platforms
THE WORK
What you are likely to own
- 01GPU and model deployment
- 02Latency and throughput optimization
- 03Autoscaling, batching, and tuning
- 04Capacity, reliability, and cost work
TECHNICAL EXPECTATION
The useful stack
PythonPyTorchGPU fundamentalsKubernetesNetworkingProfilingDistributed systems
CUSTOMER EXPECTATION
Proximity to the problem
High, often with deeply technical ML platform, infrastructure, and research teams.
THE REAL SUCCESS METRIC
A serving system that meets measured latency, throughput, reliability, and cost targets.
AIR PREPARATION FOCUS