Large-model training
Consider GPU count, cluster interconnect, storage throughput, checkpointing and long-duration capacity needs.
NEXFLOW MATRIX / SOLUTIONS
Built around
your AI workload.
From training infrastructure to model services, start with the requirements that matter to your project.
WORKLOADS / 应用场景
Different goals.
Different requirements.
Use these planning scenarios to begin a technical conversation. They are not customer case studies.
Dedicated inference
Assess model size, memory requirements, concurrency, latency and regional service expectations.
AI applications
Plan model capabilities, Token consumption and peak traffic for assistants, coding tools and enterprise workflows.
International projects
Compare resource regions, contracting roles, project timelines and cross-team coordination needs.
FIND YOUR PATH / 服务选型
What are you
building next?
Start with the workload. Explore a route that matches your project.
PROJECT INPUTS / 项目准备
A better brief.
A better starting point.
Bring an initial estimate; requirements can be refined together.
WorkloadTraining, fine-tuning, inference or model API usage
CapacityGPU model and count, or expected Token volume
LocationResource region and users served
TimelineResource region and technical priorities
ConstraintsBudget, technical requirements and contract needs