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AI연구 고민은 GPU 충전으로 해결

(5/31 마감) 클라우드 충전하면 15% 크레딧 제공 중

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Run the AI model tuned on Elice Cloud's infrastructure

언어 혼합률은 낮추고, 한국 문화/역사에 대한 이해도는 높여 튜닝한 Llama 3.1 한국어 모델의 차이를 직접 경험해 보세요!

모델 성능 자세히 보기
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27/200

결과
Llama-3.1-8B-Instruct-Ko

Llama-3.1-8B-Instruct-Ko


Llama-3.1-8B-Instruct

Llama-3.1-8B-Instruct

더 많은 모델을 API로 활용해 보세요!

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Elice Cloud On-Demand

AI Research and Development Infrastructure Offered at the World's Lowest Prices

Up to 70% cheaper compared to Global Company A

Flexible pricing plan with per-minute billing for usage

Self-developed cloud infrastructure

Free credits for customers who register a card

Receive credits to use A100, H100 resources for free up to 3.5 hours

Elice Cloud Model Library

One-Click AI Model Deployment Ready to Use via API

Easily deploy and use the latest AI models

Optimize resources and costs with autoscaling

Available at on-demand GPU prices


DeepSeek-R1

DeepSeek-R1

Llama 3.1

Llama 3.1

FLUX.1-schnell

FLUX.1-schnell

Whisper-large-v3

Whisper-large-v3

Gemma-7b-it

Gemma-7b-it

Can't find the model you want?

Request any open-source AI model, and we'll add it to the library within 7 days.

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Elice Cloud Model Library

High-Performance, Low-Cost Inference API Verified by Benchmarks

Language Model

Run Llama 3.1 model on Elice Cloud to maximize performance and cost efficiency. At 90% lower cost than competitors, utilize it for various tasks like Q&A, summarization, and task instructions.

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90%

90% cheaper than average competitor API costs


24,160

Tokens processed per second (TPS)


$0.0161

Cost per 1M tokens

STT Model (Speech To Text)

When serving STT models on Elice Cloud, get efficient costs and fast processing speeds. Utilize it effectively for various real-time voice recognition services.

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30X

30x more voice processing than OpenAI's official API


117

Real-time factor (RTF) for voice processing


83hrs/$

83 hours of voice processing per dollar

Computer Vision

On Elice Cloud, the Flux.1-schnell model maintains stable performance even with increasing concurrent users and enables fast image generation. It's optimized for real-time data processing and large-scale image generation tasks.

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19X

19x more image processing than Flux's official API


2.672sec

Time required for image generation


962/$

962 images generated per dollar

Elice Cloud AI Solutions

Elice AI Solutions for Various Industries

Reducing size while increasing speed

NPU Optimization

Successful AI Implementation: How Companies Use It

AI 가상피팅 스타트업, 정부지원사업으로 저렴하게 클라우드 활용한 방법

의료 AI 성능 향상을 위한 GPU 클라우드 도입

LLM 연구 개발에 최적화된 GPU 클라우드 솔루션

생성 AI 검색엔진의 핵심: 임베딩 모델 개발을 위한 GPU 도입

AI 학회 경진대회를 위한 GPU 환경 구축

연구 및 교육 환경에 최적화된 GPU 라이선스

See More Case Studies
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Initial PoC Creation in 7 Days

We create initial PoC within 7 days for rapid AI implementation


Custom Model Development

We handle the entire process from model selection to data creation, training, and deployment based on customer needs

Reliable Cloud Solution with CSAP IaaS Certification

Korea's First AI PMDC with CSAP IaaS Certification

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Multiple International Security Certifications

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Frequently Asked Questions

It is provided in container format using Ubuntu LTS as the OS. For user convenience, you can directly run VSCode or Jupyter in the web browser and start development without any special setup.

Through our own data center and cloud infrastructure, we achieve significant cost savings which we pass on to our users at competitive prices.

Yes, if you create an organization and register a card, you will receive 50,000 KRW of free credits. (※ 1 person 1 time, valid for 30 days after credit issuance) If all credits are used, the running resources will be automatically terminated, but if you set the automatic charging option, the resources will not be terminated and you can continue to use them.

The service is operated on a prepaid basis, where you purchase the amount of credits you need in advance and use them. If you need to use a large amount of usage or research funds, you can purchase 100 million KRW or more or use the fixed-term plan.

Yes, we provide auto-scaling features that can be configured according to customer needs and API usage patterns, with usage tracking for resource-based billing.

The billing criteria differ depending on the model usage method. The model can be used in two ways: Serverless and Dedicated. Serverless is currently available for some models, and charges are based on the number of calls. Dedicated charges are based on the instance usage time. If you use Dedicated, you can stop the instance or set the instance count to 0 to stop charging.

We provide clustering through InfiniBand with options for 8 nodes, 32 nodes, and more. Please contact us for more details.

This is possible through Data Hub (an Object Storage service similar to AWS S3). Currently, additional setup is required for this feature, so please contact us for assistance.

Currently, we do not charge any additional fees for data transfer.

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