Technozor Lab · 02
LLM Infrastructure Planner
Estimate the memory shape of a language-model deployment before benchmarking it on target hardware.
Estimated deployment memory
12.7 GiB- Model weights
- 7.5 GiB
- KV cache
- 2 GiB
- Runtime overhead
- 1.1 GiB
- Total with 20% headroom
- 12.7 GiB
Feasible memory topology1 × NVIDIA L40S
Method and limitations
Weights = parameters × precision. KV cache = 2 × layers × context × concurrency × hidden size × grouped-query ratio × precision. Runtime overhead is estimated at 15%, followed by 20% headroom and 10% reserved GPU capacity.
This is a capacity estimate, not a throughput, latency, availability or cost guarantee. Validate kernels, tensor parallelism, framework overhead and production traffic on target hardware.