AI & INFERENCE
AI Applications & Inference
Connect computing resources, training, evaluation, and online inference around your models, data, and request requirements.
UNDERSTAND THE NEED
Understand the challenge.
Then choose the capabilities.
What does this use case need to solve?
AI resource needs vary with model size, concurrency, and latency targets. Compute selection, model environments, and data management need to be planned together to move from experimentation to a maintainable service.
The following combination illustrates an approach. Configuration, service regions and delivery scope will be confirmed after discussing your needs.
SOLUTION BLUEPRINT
Connect the pieces into a solution
Map each stage of your workflow to cloud capabilities with a clear purpose.
- 01
Assess models and compute needs
Review model frameworks, GPU memory requirements, request volumes, and target regions to identify suitable GPU resources.
- 02
Organize data and development
Manage data in object or file storage, and use TI-ONE for development, training, and evaluation where appropriate.
- 03
Validate the inference service
Use containers, load balancing, and monitoring to validate the service, then adjust resources through realistic load testing.
RECOMMENDED BUILDING BLOCKS
Tencent Cloud products to explore together
Choose the products that fit your existing systems and requirements. There’s no need to purchase everything at once.
Cloud GPU Service
Cloud GPU Service
Provide GPU computing resources for model training, inference, and graphics processing.
Explore productTencent Cloud TI-ONE Platform
TI-ONE Training & Inference
Connect data preparation, model development, training, and inference workflows.
Explore productTencent Kubernetes Engine
Tencent Kubernetes Engine
Manage containers with Kubernetes to support application delivery and elastic scaling.
Explore productCloud Object Storage
Cloud Object Storage
Store images, videos, files, and backups in one place.
Explore productCloud File Storage
Cloud File Storage
Give multiple computing nodes access to the same files.
Explore productCloud Load Balancer
Cloud Load Balancer
Distribute application traffic across multiple service instances.
Explore productTencent Cloud Observability Platform
Cloud Observability Platform
Monitor resource metrics centrally and use alerts to investigate service issues.
Explore productCloud Log Service
Cloud Log Service
Collect, search, and analyze logs centrally to simplify troubleshooting.
Explore productDESIGNED AROUND YOUR GOALS
Align on your priorities.
Refine the solution.
Set priorities together to keep product choices aligned with business goals.
- Clear resource requirements for running the model
- A connected path from experiments to production deployment
- Capacity planning informed by actual tests
LET’S MAKE IT SPECIFIC
Make this approach work for your business
Bring your target markets, estimated usage or current architecture for a focused discussion.