NexGen Cloud has integrated Hugging Face's model repository capabilities into its Hyperstack AI Studio. This move aims to simplify and speed up the process for enterprises and research teams developing artificial intelligence applications by supporting direct integration of pre-trained and fine-tuned models within a single environment.
Expanded access
Developers using Hyperstack AI Studio can now import Hugging Face's LoRA (Low-Rank Adaptation) adapters and deploy them in their projects. Access to Hugging Face's ecosystem enables teams to work with hundreds of thousands of pre-trained and domain-specific models, including those tailored for fields such as healthcare and finance.
Once imported, models can be tested and prototyped in the AI Studio Playground. This environment is designed to allow rapid experimentation, comparison and evaluation of models before deployment. Supported adapters include Llama 3.1 8B Instruct, Mistral Small 24B Instruct 2501, and Llama 3.3 70B Instruct, among others.
Workflow improvement
The integration intends to reduce the time and complexity required to initiate AI development projects. Developers benefit from pre-configured environments and libraries, now extended to include Hugging Face models, which streamline the process of moving from initial conceptualisation to production.
Hyperstack AI Studio's model repository feature removes the need for moving assets across platforms or redeveloping interfaces for each use case. Users can select, import, and deploy their chosen Hugging Face models natively, staying within the same workspace during the lifecycle of their project. This aims to minimise potential compatibility or deployment issues that can arise from using disparate toolsets.
Infrastructure offering
Hyperstack AI Studio operates on NexGen Cloud's Hyperstack platform, which provides enterprise-grade security, latest-generation GPUs, and scalable computing resources. The environment combines performance optimisation and a collaboration framework for teams, with resource usage billed on a pay-as-you-go basis.
By supporting cost management and on-demand access to infrastructure, the platform accommodates a range of users from startups to large businesses requiring flexible access to GPU-accelerated workloads. The integration with Hugging Face further broadens the tools available to developers, fostering streamlined project setup and deployment.
Industry context
"We are committed to supporting AI developers in every way that we can," said Youlian Tzanev, Chief Strategy Officer & Co-Founder, NexGen Cloud. "We have delivered state of the art infrastructure, on-demand access and a comprehensive development environment with AI studio. We are now opening access to a vast array of pre-built and tested models that will further accelerate the work of developers and speed the deployment of their applications."
