Cloudalize
Best for Teams needing powerful virtual GPU desktops for visualization and prototyping.
from$1.00/ hr★ 8.5/10
BentoML Cloud
Available NowBest for Engineering teams looking to deploy complex, multi-model inference pipelines without managing Kubernetes clusters.
BentoML Cloud provides a fully managed, serverless platform for deploying and scaling machine learning models built with the open-source BentoML framework. By standardizing the way AI models are packaged (creating “Bentos”), the cloud platform allows engineering teams to deploy complex, multi-model inference graphs—such as chaining an LLM with an embedding model and a moderation filter—into production instantly. It abstracts away Kubernetes and GPU scheduling, allowing AI engineers to focus purely on application logic.
Pros & Cons
Pros
- Seamless integration with the open-source BentoML framework
- Easily compose and scale multi-model graphs
- Abstracts away complex Kubernetes GPU management
Cons
- Requires adopting the BentoML packaging standard
- Enterprise pricing can scale quickly with high traffic
Ideal Use Cases
Multi-Model InferenceOpen-Source ML DeploymentServerless AI
| GPU Models | A100, L4, T4 |
| GPU Types | A100, L4, t4 |
| Headquarters | San Francisco, CA |
| Founded | 2019 |
| Availability | Available Now |
| Website | bentoml.com ↗ |
$0.75/ hour (starting)—$4.00/ hr (max)
💡 Pricing note: Rates shown are indicative. Final pricing depends on GPU model, reservation type (spot vs. on-demand), contract length, and region. Get an exact quote →
US
EU
APAC
Starting from
$0.75/hr
Up to $4.00/hr
Frequently Asked Questions
BentoML Cloud GPU cloud pricing starts from $0.75/hr depending on GPU type, reservation model (on-demand vs. spot vs. reserved), and region. Use the quote form to get exact pricing for your specific workload.
BentoML Cloud offers A100, L4, T4 GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
BentoML Cloud operates data centers in APAC, EU, US. Choosing a region close to your users minimises latency and can help with data residency compliance requirements.
Use the "Get a Quote" button on this page to submit your GPU requirements. ComputeStacker will forward your request to BentoML Cloud and other matching providers. You'll receive proposals within 24 hours — no commitment required.
BentoML Cloud offers high-performance GPU infrastructure suitable for large language model training and fine-tuning workloads. For large-scale distributed training, check the Specs tab for NVLink and InfiniBand interconnect availability.
Explore More Options
Similar Providers
Compare Head-to-Head
By Region & GPU
Alternatives to BentoML Cloud
MacStadium
Best for Teams running massive LLM inference utilizing Apple's unified memory, or developing iOS-native AI applications.
from$0.50/ hr★ 8.9/10
Qwak
Best for Fast-growing companies seeking a fully managed ML PaaS to handle infrastructure, deployment, and feature stores without hiring DevOps.
from$1.50/ hr★ 9.2/10