Throughput
Evaluate concurrency and processing capacity to assess GPU utilization.
AI INFRA + TOKEN FACTORY
Token Factory
Token Factory is Nexora’s core business, connecting model deployment and inference optimization with AI infrastructure. We combine models and compute resources to build inference environments for ongoing use.
Supported models, scale and service configurations are discussed individually based on your requirements.
FROM MODEL TO TOKENS
Make inference ready to operate.
From requirements to continuous improvement, we consider both the model and the environment it runs in.
- 01
Define requirements
Establish use cases, target models, concurrency, latency requirements and cost targets.
- 02
Deploy the model
Select an inference framework suited to the model and hardware, then build its runtime environment.
- 03
Tune performance
Tune quantization, batching, caching and inter-GPU communication. Evaluate performance and output quality.
- 04
Operate & improve
Monitor servers and networks, respond to faults and refine the infrastructure supporting inference.
INFERENCE ENGINEERING
Performance, quality and cost. Together.
Models and traffic patterns shape the infrastructure an inference service needs. We evaluate under comparable conditions and measure the effect of each improvement.
Latency
Measure response time and investigate compute, communication and scheduling bottlenecks.
Memory & cost
Check numerical precision and GPU memory use to determine the compute resources needed.
Output quality
Compare model quality before and after optimization to find the right balance for the use case.
AI INFRASTRUCTURE
Under every token, infrastructure.
GPUs run the inference engine. Networks connect them. Nexora’s AI infrastructure provides the foundation beneath the service.