
Python-Native Serverless GPUs: Deploy Your Own Model Without a Dockerfile
Define a GPU app as a Python class with decorators, pick the GPU in one line, scale to zero and deploy with one command. How Python-native serverless GPUs work on fal.

How to Serve a Cog Model or Custom Container as a Scalable API
Run an existing Cog image or Dockerfile as an autoscaling GPU API on fal Serverless. What changes, which migration path to pick, how scaling works and what it costs per second.

Production Serverless GPU Inference: What It Needs and How to Set It Up on fal
The eight things production serverless GPU inference needs, from a warm floor and a spend ceiling to retries, private auth and metrics, and how to set each on fal Serverless.

Real-Time GPU Inference over WebSockets and WebRTC
Build interactive generative apps on fal Serverless with realtime endpoints: one persistent WebSocket that skips the queue, raw WebSockets for custom protocols, and WebRTC for live video.

How to Switch Serverless GPU Providers Without Downtime
Looking for a serverless GPU alternative? Test capacity, stability, outages and support before you move, then migrate inference with no downtime.

How to Fine-Tune FLUX With an API: When It Pays, Which Model, What It Costs
Why teams fine-tune FLUX, when reference images suffice, which FLUX to train on (FLUX 3 Image Klein, FLUX.2, FLUX.1) and what 1,000 images cost after training.

How to Deploy a LoRA as an API
Two ways to turn a custom LoRA into an API on fal: hosted trainers and LoRA inference APIs with no servers, or your own trainer and serving app on fal Serverless.

NVIDIA GB200 Price in 2026: What a GPU, a Tray and an NVL72 Rack Cost
The GB200 is sold as a superchip and deployed as a 72-GPU NVL72 rack. This guide prices each unit per hour, explains when the rack-scale NVLink domain is worth paying for, and compares GB200 with B200 and B300.

How to Deploy a Video Generation Model in Production
Serve Wan and other open video models as a queue-backed API on fal Serverless: pick a GPU with hardware encoders, keep weights on /data, cut cold starts and scale between bursts.

NVIDIA RTX PRO 6000 Price in 2026: Hourly Rates, Media Workloads and H100 Comparison
NVIDIA RTX PRO 6000 price in 2026: about $15,000-$16,000 to buy, $4.00 per GPU-hour on fal. Specs, image and video cost math, and RTX PRO 6000 vs H100.

ComfyUI API: Deploy a ComfyUI Workflow as an Endpoint
Turn a ComfyUI workflow into an API on fal Serverless: export it in API format, wrap ComfyUI in a fal.App, keep checkpoints on /data and deploy an autoscaling GPU endpoint.

NVIDIA H200 Price in 2026: Specs, Hourly Rates and Buy vs Rent
NVIDIA H200 price in 2026: about $30,000-$34,000 to buy, $6.00 per GPU-hour on fal, billed per second. Specs, H100 and B200 comparison, buy vs rent.

How to Deploy ML Models on GPUs Without Kubernetes
Deploy any Python model as an autoscaling GPU API on fal Serverless from one class, a custom container or an existing HTTP server, with no Docker or Kubernetes to run.

NVIDIA H100 Price in 2026: Specs, Hourly Rates and Buy vs Rent
NVIDIA H100 price in 2026: about $27,000–$37,000 to buy, $4.50/h on fal billed per second. Specs, A100 comparison and buy-vs-rent break-even.

Serverless Inference: How Autoscaling and Scale-to-Zero Work
How fal Serverless sizes your GPU fleet: what each runner state costs, how min_concurrency, keep_alive, concurrency_buffer and max_concurrency combine, and how to tune a live app.

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.

How to Fine-Tune Wan 2.2 With an API
A step-by-step guide to training a Wan 2.2 LoRA on fal with cURL and Python: dataset layout, the trainer endpoint and its inputs, the published per-step price, and calling the trained LoRA from the Wan 2.2 text-to-video endpoint.