Genesis Cloud
Best for GDPR-Compliant AI, European Data Sovereignty, Image Generation, Fine-Tuning
from$0.30/ hr★ 8.4/10
MonsterAPI
Available NowBest for No-code Finetuning, AI Application Developers, Quick Prototyping
About MonsterAPI
MonsterAPI streamlines generative AI development by combining low-cost scalable GPU infrastructure with an intuitive, no-code fine-tuning interface. It caters directly to developers looking to customize open-source LLMs like Llama or Mistral without needing to manage complex Docker containers or Kubernetes nodes.
Pros & Cons
Pros
- Exceptionally simple no-code fine-tuning dashboard
- Very low latency inference APIs
- Seamlessly mix distributed compute to cut costs
- Perfect for users without deep MLOps backgrounds
Cons
- Advanced custom architecture optimization is limited
- Relies heavily on wrapped APIs rather than providing raw infrastructure
- H100 capacity is minimal
Ideal Use Cases
AI InferenceFine-TuningImage Generation
| GPU Models | A100, RTX A6000, RTX 3090 |
| GPU Types | A100, A6000, RTX 3090 |
| Headquarters | San Jose, CA, USA |
| Founded | 2023 |
| Availability | Available Now |
| Website | monsterapi.ai ↗ |
$0.10/ hour (starting)—$1.50/ 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 →
Global (Decentralized + Core)
Starting from
$0.10/hr
Up to $1.50/hr
Frequently Asked Questions
MonsterAPI GPU cloud pricing starts from $0.10/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.
MonsterAPI offers A100, RTX A6000, RTX 3090 GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
MonsterAPI operates data centers in Asia Pacific, EU Central, US West. 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 MonsterAPI and other matching providers. You'll receive proposals within 24 hours — no commitment required.
MonsterAPI 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
Alternatives to MonsterAPI
Hyperstack
Best for On-demand GPU instances, SMEs, Sustainable Computing
from$0.30/ hr★ 8.5/10
Civo
Best for Kubernetes-native AI applications, Developer deployments
from$0.20/ hr★ 8.8/10