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Latest articles

How Parasail built one AI agent for inference operations

The hard part wasn’t putting an AI agent in Slack. It was embedding trusted sources, reviewed calculations, and safe inference-operations workflows.

Building sub-second LLM inference for global AI traffic

A fast model isn’t a fast API. We worked backward from a 600ms p99 budget with Cloudflare Workers at the edge and WireGuard to the GPU.

Faster autoscaling for vLLM: Restoring from snapshots instead of starting cold

Cold-start latency is one of the biggest bottlenecks when scaling inference. Parasail's model snapshotting saves and restores CPU and GPU process state to bring vLLM replicas online 3-5x faster than rebuilding from scratch.

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.

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.

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.

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From the team Parasail blog

Latest articles

How Parasail built one AI agent for inference operations

Building sub-second LLM inference for global AI traffic

Prefill vs. decode in LLM inference

Designing multi-region LLM deployments with gateway architecture

Parasail vs. DeepInfra: Cost, latency, model selection, and engineering support

Guide to optimize batching and throughput for offline LLM inference in 2026

Parasail to Combine NVIDIA AI Infrastructure with d-Matrix Accelerators to Achieve 10x Faster Token Generation

Beyond the frontier: How to build a defensible AI inference infrastructure

Faster autoscaling for vLLM: Restoring from snapshots instead of starting cold

Most inference commits are broken. Here's how we fixed ours.

The idle GPU tax: What it is, why it’s getting worse, and how you can fix it

Parasail and Neuralwatt: More Inference from Every Watt

How to choose the right managed inference architecture: Serverless, dedicated, dedicated serverless, or batch

Serverless vs. Dedicated Inference: Why We Built Dedicated Serverless

Parasail and Wafer AI: Faster models, lower costs

Making an EAGLE fly: How We Got 2.6x Faster LLM Inference (Without Cheating)

Making Cold Start Latencies go Brrrr: A Multi-pronged Approach (Part 1)

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