
How to Choose a Serverless GPU Platform for Production Inference (2026)
A buyer's checklist for serverless GPU inference in 2026: cold starts, billing granularity, GPU types and prices, scaling controls, containers, SLA, observability and migration effort, with a workload-by-workload guide.

Dedicated GPUs vs Serverless Inference: How to Find Your Break-Even
The utilisation at which a reserved H100 or B200 costs less than per-second billing, why billed time matters more than busy time, and how to size a reserved floor with burst capacity on top.

NVIDIA B200 Price in 2026: Specs, Hourly Rates and Reserved Capacity
The NVIDIA B200 pairs 192 GB of HBM3e with 8 TB/s of memory bandwidth and native FP4. This guide covers its specs, the three ways B200 time is priced (hourly, per second, reserved), and fal's published B200 rate with worked cost examples.

NVIDIA B300 Price Guide - Reserve Blackwell Ultra GPUs on fal
A practical guide to the NVIDIA B300 (Blackwell Ultra): full specifications against the B200, H200 and H100, the workloads that justify it, deployment trade-offs, and per-GPU-hour pricing.

Why fal Is a Top AI Inference Provider for Generative Media
Generative media is the hardest inference workload most teams will run. Here is what top tier looks like for image, video, audio and 3D, the public evidence for fal, and how to choose between Model APIs, Serverless and Compute.

What Is a Serverless GPU Cold Start?
Cold starts are a cache-hierarchy problem, and the real question is not how fast they are but how often one lands on a user and what it costs when it does. How to size a warm floor, when to reach for a reservation instead, and how to watch one happen on your own app.