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4ROUTER / Reliability

Keeping workloads isolated

Separating resources, data and failure domains.

Engineering note

Isolation is more than a quota

Concurrency and resource limits constrain consumption; they do not establish a complete security boundary. Caches, filesystems, network access, accounts and logs may cross workloads. Define each boundary against data sensitivity and deployment needs.

Contain the failure domain

Resource exhaustion should be identifiable and its impact bounded. Timeouts, queues, cancellation and reclamation work together. Shared replicas, separate processes and separate nodes provide different isolation boundaries with different costs.

Test the intended boundary

Test excessive demand, crashes, cache cleanup and denied access as well as normal calls. Private deployments also need checks on model files, telemetry egress and backups. Deployment location alone does not describe every data-protection control.

Before implementation

  • Resource and data boundaries
  • Network egress and permissions
  • Crash and cleanup tests

Further reading

Kubernetes · Multi-tenancy

4ROUTER / SYSTEMS RESEARCH

Mechanisms and experiment design

Understand how operators, KV state and scheduling shape an inference path.

Read the systems notes in Resources
GEMM / KERNELS

From operators to serving: cuBLAS & cuDNN

Identify the limiting resource before selecting the implementation.

STATE / CAPACITY

KV cache: from tensor shapes to capacity budgets

Context length is a state budget that grows with concurrency.

TIERS / TRANSFER

LMCache: placing KV state in a storage hierarchy

Avoiding prefill requires paying for state access.

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