# Parasail Blog

Product updates, engineering deep dives, and thought leadership from the Parasail team.

## 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  
[Product](/content/blogs/how-to-choose-the-right-inference-architecture/index.html)

## 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  
[Product](/content/blogs/serverless-vs-dedicated-inference/index.html)

## Parasail and Wafer AI: Faster models, lower costs  
Parasail and Wafer AI are partnering to make frontier AI cheaper and more accessible.  
Parasail · April 30, 2026  
[Product](/content/blogs/parasail-and-wafer-ai-faster-models-lower-costs/index.html)

## 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  
[Engineering](/content/blogs/making-an-eagle-fly-how-we-got-2-6x-faster-llm-inference-without-cheating/index.html)

## Making Cold Start Latencies go Brrrr: A Multi-pronged Approach (Part 1)  
We walk through how we combined fastsafetensors, O_DIRECT, and io_uring to get fast cold-starts and fast warm-starts on the same stack.  
Meghana Madhyastha · April 20, 2026  
[Engineering](/content/blogs/making-cold-start-latencies-go-brrrr-a-multi-pronged-approach/index.html)