Tag
#h200
Articles tagged "h200" — 3 entries.
Looking Beyond Spark — KV-Cache Arithmetic at Inference
The serving memory bill is not weights. It's KV cache, and KV scales with concurrent users × context length, not parameters. Same four bills as training; different weights. A 70B at 32 users × 16k context wants 168 GB just for KV — and the Spark teaches you the per-token math.
uses fieldkit.capabilities
Derisking the Cloud Pretrain — How a $5K Spark Saves $50K on H100 Rentals
The Spark is too small for a serious pretrain — but it's the right size for the recipe-search that precedes one. Cull 100 candidate architectures down to 3 on one Spark for ~$1 of electricity, then book the cloud node knowing what to train. The expected savings per campaign run into the thousands.
Looking Beyond Spark — Fine-Tuning a 100B Nemotron
A working answer to: how many GPUs to fine-tune a 100B Nemotron? Three methods, three memory footprints — full FT ≈ 1.6 TB needs 24× H100; LoRA ≈ 250 GB fits 8× H100; QLoRA ≈ 65 GB fits 1× H200. The Spark's 3B LoRA teaches the math.
uses fieldkit.capabilities