Train and deploy LLMs
Fine-tune and deploy AI models from a library of more than 100 available LLMs, including Llama 3.1, DeepSeek-V3, Qwen 2.5 and other current models.
Simplify complex AI work on a single platform - from notebooks, fine-tuning, and inference through to model management at production scale.
HiTechCloud AI Platform helps data teams and AI engineers shorten the model development lifecycle, automate operational steps and scale resources on demand.
From LLMs, GPU Cloud and notebook instances through to model serving, businesses can run AI sooner without building complex infrastructure themselves.
Fine-tune and deploy AI models from a library of more than 100 available LLMs, including Llama 3.1, DeepSeek-V3, Qwen 2.5 and other current models.
Create notebook instances and deploy fine-tuning, inferencing and model serving directly from the HiTechCloud Portal.
A flexible environment for running AI models that scales automatically with demand and makes large, complex models straightforward to deploy.
Provides GPU configurations suited to AI/ML workloads, such as HGX H100, RTX 4090, L40S, and A40, together with a high-performance network.
Deploy, evaluate and manage model performance easily, with multi-version model storage for each environment.
Pay for infrastructure, storage and model resources according to actual usage, on a pay-as-you-go basis.
Shorten time to go-live, keep resources highly available and hold data in an environment that meets operating requirements in Vietnam.
Deploying a complete AI model on the HiTechCloud Portal takes only minutes, and can save up to 70% of the effort of building a platform from scratch.
GPU infrastructure that stays available and optimized for AI workloads. The resource pool is highly available and sized to meet enterprise demand at any time.
The data centers are located in Vietnam, so businesses can run AI within the legal framework and data sovereignty requirements that apply to them.
AI Platform standardizes MLOps workflows so businesses can experiment with, fine-tune, deploy and monitor AI models version by version.
See how Vietnamese businesses are growing, innovating, and scaling faster on cloud and AI infrastructure from HiTechCloud.
Quick answers before you deploy notebooks, fine-tuning, inference, and model serving on HiTechCloud.
AI Platform lets businesses create notebook instances, fine-tune AI models, deploy inference and manage models in a single cloud environment.
Yes. The platform offers a library of more than 100 LLMs, including Llama, DeepSeek and Qwen alongside many other open-source models, so you can pick the right one for each use case.
Yes. Users can create a notebook instance, configure resources, run fine-tuning, save model versions and deploy inference directly from the HiTechCloud Portal.
Yes. AI Platform is built for AI/ML tasks that need high-performance GPUs, covering training, fine-tuning, inference, GenAI, chatbots and computer vision.
Yes. The platform supports model versioning, so teams can compare, roll back, deploy and track the performance of each version across the MLOps lifecycle.
Cost depends on compute/GPU resources, storage capacity, usage duration and model deployment requirements. HiTechCloud will advise on the configuration and quote against your actual needs.
Yes. The HiTechCloud team advises on architecture, GPU selection, data pipeline design, fine-tuning, model serving and AI operating cost optimization.
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