Gabriel Perácio

Gabriel Peracio is a staff engineer at Parasail, specializing in ML inference optimization. He has been fascinated by language models since a herd of unicorns spoke perfect English in 2019.

Articles by Gabriel Perácio

1. Beyond the frontier: How to build a defensible AI inference infrastructure
   Closed model dependency is becoming a structural liability. Here's the framework for building a reliable AI inference architecture.
   Gabriel Perácio · July 6, 2026

2. The idle GPU tax: What it is, why it’s getting worse, and how you can fix it
   Learn what the idle GPU tax is, what it costs, and how usage-based billing on dedicated endpoints helps you avoid it altogether.
   Gabriel Perácio · June 18, 2026

3. How to choose the right managed inference architecture: Serverless, dedicated, dedicated serverless, or batch
   Use this decision framework to choose the right managed inference mode based on latency requirements, GPU breakeven utilization, and whether your workload needs a dedicated endpoint.
   Gabriel Perácio · June 9, 2026

4. Serverless vs. Dedicated Inference: Why We Built Dedicated Serverless
   With dedicated serverless you get dedicated hardware on per-token pricing, no idle-hour charges or long-term GPU commitment.
   Gabriel Perácio · May 29, 2026

5. Making an EAGLE fly: How We Got 2.6x Faster LLM Inference (Without Cheating)
   We trained a custom EAGLE-3 speculative decoding head for OLMo-3.1-32B-Think and got 2.6x faster inference.
   Gabriel Perácio · April 28, 2026