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AI Models You Can Deploy on AceCloud

Browse the most popular open-source models supported on AceCloud. From API call to production in under 60 seconds.

  • <60s Deploy Time
  • 99.99%* Uptime SLA
  • 70+ AI Models
  • $0 Setup Cost
_ acecloud-llm-cli

$ acecloud llm catalog --view compact \

$ --sort popularity --limit 5

✓ Model catalog loaded

Chat | Embeddings | Rerankers | Open AI compatible

llama-3.1-8b-instruct
chat
128k
llama-3.1-70b-instruct
chat
128k
qwen-2.5-72b-instruct
chat
128k
bge-large-en-v1.5
embeddings
8k

$ acecloud llm search "rerank"

bge-reranker-large
reranker
-

$

Built for Speed, Scale & Simplicity

Deploy production-grade AI models without the complexity of infrastructure management, DevOps teams, or expensive GPU clusters.

10X Faster Deployment

From months of infrastructure setup to 60 seconds. Ship Al features today.

Efficient Auto-Scaling

From 1 to 1M requests without code changes. Instant scale.

60% Cost Reduction

No DevOps Team, no GPU infrastructure. Pay only what you use.

Low Latency Inference

Sub-second time-to-first-token for in-region traffic on optimized models.

Why AceCloud Beats Hyperscalers for GPUs

Same NVIDIA GPUs, lower spend, India-first regions and 24/7 human support.
Model Latency Cost/1M Tokens Key Use Cases
Llama 3.3 70B Meta
70B params

~250ms

$0.60

Chatbots, Analysis, Translation

DeepSeek V3 DeepSeek
671B parаms

~300ms

$0.80

Coding, Math, Research

Qwen2.5 72B Alibaba
72B params

~200ms

$0.55

Multi-lang, Support, Content

Stable Diffusion 3.5 Stability AI
Image

~3s

$0.05/img

Product, Design, Marketing

Whisper Large v3 OpenAI
Audio

~1s/min

$0.006/min

Transcribe, Meetings, Subtitles

Code Llama 70B Meta
70B params

~200ms

$0.70

Autocomplete, Debug, Review

* All prices shown are example USD rates per 1M tokens / per image, subject to change.

See How Companies Use AI Models

From startups to enterprises, organizations worldwide trust AceCloud to power their AI-driven applications.

Customer Support Automation

E-commerce company reduced support tickets by 65% using Llama 3.3 70B for intelligent chatbot responses with context-aware recommendation.

Marketing Content at Scale

Marketing agency generates 500+ unique product descriptions daily using Qwen2.5 72B, saving 40 hours per week of manual writing.

Product Visualization

Interior design platform creates custom room visualizations using Stable Diffusion 3.5, generating 10,000+ images monthly for customer previews.

Developer Productivity

SaaS company integrated Code Llama 70B for code generation and review, boosting developer velocity by 35% and reducing bugs by 28%.

Meeting Intelligence

Remote work platform uses Whisper Large v3 to transcribe and analyze 50,000+ meeting hours per month with 98% accuracy across 50+ languages.

Quality Control Automation

Manufacturing company deployed Llama 3.2 Vision for automated defect detection, achieving 99.2% accuracy and reducing inspection time by 80%.

Frequently Asked Questions

Everything you need to know about deploying Al models on AceCloud.

Most models can be deployed in under 60 seconds. Simply select your model from our catalog, configure basic settings (like instance size), and click “Deploy.” No DevOps expertise, infrastructure setup, or GPU configuration required. You’ll receive an API endpoint immediately and can start making requests within seconds.

AceCloud focuses exclusively on open-source AI models, giving you complete control without vendor lock-in. Unlike proprietary platforms, you can deploy models like Llama 3.3, DeepSeek V3, and Qwen2.5 on our enterprise-grade infrastructure transparent pricing. We offer 70+ models across text, vision, audio, and code-all with 99.99%* uptime SLA.

Security is our top priority. We’re ISO/IEC 27001 compliant. Data in transit is protected via TLS, and data at rest is encrypted using industry-standard algorithms (e.g., AES-256). Models run in isolated, secure environments on enterprise-grade infrastructure across multiple regions. We never use your data to train shared models and we don’t sell it to third parties, and offer private deployment options for enterprises with strict compliance requirements.

Yes! AceCloud supports fine-tuning for most open-source models. Upload your training data, configure hyperparameters through our intuitive interface, and we’ll handle the compute-intensive training process. Your fine-tuned model remains private and can be deployed just like our pre-trained models.

All plans include 24/7 technical support via email and chat. Enterprise customers get dedicated account managers, priority support with guaranteed response times, architecture consulting, and custom SLAS. We also offer extensive documentation, video tutorials, and a community forum where our ML engineers actively participate.

Our REST API works with any programming language. We provide official SDKs for Python, Node.js, Go, Java, and Ruby. Models support popular frameworks like PyTorch, TensorFlow, and Hugging Face Transformers. Integration examples are available for LangChain, Llamalndex, and major application frameworks.

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