Question 1

What does Krylox do?

Accepted Answer

Krylox LLP is a specialist MLOps and AI inference optimization engineering firm. We work on MLOps strategy and inference architecture, and host models on our own GPU fleet so clients pay only for what they use.

Question 2

How much faster can Krylox make my ML models?

Accepted Answer

Krylox achieves up to 10× faster inference through quantization (INT8/FP16), TensorRT optimization, kernel fusion, and intelligent batching.

Question 3

How does Krylox reduce cloud ML costs?

Accepted Answer

Krylox reduces cloud ML costs by up to 60% through GPU right-sizing, spot instance strategies, and model compression across AWS, GCP, and Azure.

Question 4

Does Krylox work with my existing cloud provider?

Accepted Answer

Yes. Krylox uses a BYOC (Bring Your Own Cloud) model, deploying within your AWS, GCP, or Azure environment. Alternatively, host on Krylox's own GPU infrastructure.

Question 5

Does Krylox work with my ML framework?

Accepted Answer

Yes. Krylox follows BYOM (Bring Your Own Model) and optimizes PyTorch, TensorFlow, JAX, and ONNX models including fine-tuned LLMs.

Question 6

Where does Krylox operate?

Accepted Answer

Krylox serves clients across EMEA, the UAE, India, and the United States.

Question 7

What is the team background at Krylox?

Accepted Answer

The Krylox team has ML infrastructure experience from Google, Meta, and Bloomberg.

Where does your MLOpsmaturity actually stand?

Where does your MLOps
maturity actually stand?