API↗
01
Use a model API
Best first move for most apps. No GPU setup, scaling, or idle hardware.
- Best for prototypes and variable usage
- You manage prompts and product code
- Tradeoff less infrastructure control
AI infrastructure, made visible Host AI.
Host AI.
Without guessing.
See what runs where, what hardware it needs, and what it can cost — before you deploy anything.
Sourced14 GPU types · 13 providers · verified 2026-08-13
Your productAI app or agent
needs intelligence
☁EasiestModel APINo GPU to manage ϟFlexibleServerless GPUPay while it runs ▦More controlYour GPUYou operate it
SimpleMore control →
14GPU types tracked
13providers compared
3hosting paths explained
0fake benchmarks
Start with the workload
What are you trying to run?
Pick the closest shape. We will separate the app server, the agent runtime, and the model so you do not buy a GPU for the wrong job.
Your first decision
Do you need to own model serving?
Use an API for the fastest start. Rent serverless GPU for custom weights or bursty jobs. Keep a GPU warm only after the workload proves it needs one.
Open the model hosting guideYour app
→Model endpoint
GPU belongs here — not under the web app. The core choice
Three ways to use a model
There is no universal winner. Traffic shape, control, and engineering time change the answer.
GPUϟ
02
Rent serverless GPU
Bring custom weights and pay for active compute. Cold starts and minimums still matter.
- Best for bursty jobs and custom models
- You manage image and inference code
- Tradeoff startup delay and limits
24/7▦
03
Keep a GPU running
Predictable capacity and maximum control — with a bill that continues while idle.
- Best for steady, measured workloads
- You manage the complete serving stack
- Tradeoff cost and operations
EstimatedPut your traffic into the calculatorCompare usage-based API, serverless GPU, and always-on GPU monthly cost.
Calculate my cost →VRAM, not vibes
What GPU fits the model?
These are conservative first-test targets for 4-bit weights, short context, and one active sequence — capacity estimates, not performance benchmarks.
Smaller modelMore VRAM →
Qwen3 8B8B parameters
T4from $0.59/hr
Mistral Small 24B24B parameters
L4from $0.39/hr
Qwen3 32B32B parameters
RTX 5090from $0.29/hr
Llama 3.3 70B70B parameters
A40 / A6000from $0.44/hr
Sourced + estimated
Model sizes come from official model cards. Raw weight math and first GPU targets are estimates with headroom. Context, concurrency, runtime, and quantization can require more.
Read the sizing method →Useful before you deploy
Tools, not another wall of text
Every tool exposes its inputs, claim type, source date, and limitations.
$0.39$0.59$1.39
SourcedLive GPU price board
Compare current public list rates across 13 providers.
Open the price board →APIGPU24/7
EstimatedHosting cost calculator
Change the model, traffic, throughput, and rates. See the crossover.
Run your numbers →scalecoldlimits
SourcedServerless GPU matrix
Price is only one axis. Compare billing, scale-to-zero, and constraints.
Compare providers → Deep research
Go deeper only when you need to
The short visual answer comes first. These longer pages keep the source trail, assumptions, and implementation detail available for search, GEO, and serious buyers.
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