ML API
Deploy AI models at scale instantly and reliably
Access powerful AI models without infrastructure management, predictable costs.
From training to inference, everything you need for AI workloads
언어 혼합률은 낮추고, 한국 문화/역사에 대한 이해도는 높여 튜닝한 Llama 3.1 한국어 모델의 차이를 직접 경험해 보세요!
모델 성능 자세히 보기
Llama-3.1-8B-Instruct-Ko
Llama-3.1-8B-Instruct
19X
throughput vs. official API
0%
inappropriate content
962
images/$
Accelerate ML workflow with Elice's ML API
Scale with flexibility
Choose serverless for cost efficiency and flexibility, or dedicated resources for consistent performance at scale.
Deploy with performance
Run AI experiments on high-performance infrastructure with significant cost savings. Just $43 for 30 hours of inference.
Customize your pipeline
Adapt models to your needs using your own data with our comprehensive training infrastructure
Flexible way to deploy AI models
Available via dedicated instances and serverless API
Serverless
Start fast, scale effortlessly with serverless inference
Deploy models in seconds without having to manage servers. Pay per API call with automatic scaling. Ideal for variable workloads and cost-efficient inference.
Dedicated
Provision dedicated endpoints for complete ML control
Get consistent performance with customized resources. Optimize configurations for reliable throughput in production. Perfect for high-volume, performance-critical workloads.
Explore our AI model library
Build with open-source and specialized models for research and more.
Korean language model developed by NAVER with 1.5 billion parameters.
The latest open-source LLM released by TrillionLabs.
Specialized in Korean education and cultural appropriateness, with performance comparable to GPT-4o mini.
Specialized in Korean education and cultural appropriateness, with performance on par with GPT-4o.
Korean-focused multimodal AI, DeepSeek-R1, uses CoT methodology and has 7 billion parameters, excelling in MTVQA.
Korean language model developed by NAVER with 3 billion parameters.
The model by LG AI, featuring 7.8 billion parameters, debuted in August 2024.
Launched by OpenAI for speech recognition and translation.
A compact model for high-quality speech synthesis with 82M parameters
From DeepSeek-R1's inference capabilities to Qwen2.5-70B.
From DeepSeek-R1's inference capabilities into Qwen2.5-32B.
It effectively understands Korean context and grammar.
Are you ready to accelerate your AI workflow?
