As AI becomes more integral to business operations and innovations, having the right infrastructure is critical for successful AI model development and deployment.
Intel® Tiber™ AI Cloud offers a comprehensive and scalable platform designed to meet the demanding needs of AI workloads.
Whether you're a startup or an established enterprise, getting started with Intel® Tiber™ AI Cloud can be the key to optimizing your AI projects. Here's a guide to help you navigate this powerful cloud platform.
Powerful Infrastructure for AI Workloads
Intel® Tiber™ AI Cloud offers cutting-edge hardware optimized for AI applications. With Intel’s high-performance processors like the Intel® Gaudi® AI processors and Intel® Xeon® CPUs, the platform ensures robust support for both model training and inference tasks. The cloud infrastructure is designed to handle large datasets, complex models, and intensive computations without compromising on performance or scalability.
The platform integrates Intel’s AI hardware accelerators, offering GPUs and other resources that help power demanding workloads like deep learning.
This enables users to scale their AI applications, whether they are creating chatbots, image recognition systems, or natural language processing models, with exceptional efficiency.
Selecting the Right Compute Resources
When starting on Intel® Tiber™ AI Cloud, one of the first steps is selecting the appropriate compute resources. The cloud offers a range of instance types, each tailored to different AI workloads.
For instance, Intel® Gaudi® processors, available at $1.30 per hour per card, provide a scalable and cost-effective solution for large-scale training. These processors come equipped with 2TB of memory and 17TB of storage, making them ideal for high-performance AI applications.
For those requiring GPU resources, Intel’s Max GPUs are also available at $0.39 per hour per card. These provide the necessary graphical power for AI inference tasks, helping to accelerate processing times and support large-scale deployments. Choosing the right instance ensures that your AI workload is both cost-effective and optimized for performance.
Optimizing and Fine-Tuning Your Models
Intel® Tiber™ AI Cloud not only provides the infrastructure for AI, but also offers several tools to optimize and fine-tune your models. The platform supports popular AI frameworks like PyTorch, TensorFlow, and others, allowing you to seamlessly port your existing models. If you're training from scratch, you can easily access and integrate pre-built models from Hugging Face or other AI model repositories.
The cloud platform also features advanced tools for model optimization. This includes support for distributed training, which enables you to parallelize your tasks and significantly speed up model development.
Additionally, Intel provides software optimization tools that improve model efficiency, making it easier to deploy AI models on resource-constrained devices or large-scale data centers.
A Platform for Startups and Developers
Not only is Intel® Tiber™ AI Cloud a powerful resource for large enterprises, but also for startups and individual developers. Intel’s commitment to empowering the startup ecosystem through the Intel® Liftoff for AI startups program, ensures that smaller companies have access to cutting-edge hardware, technical support, and resources.
For developers, Intel provides comprehensive documentation, learning paths, and tutorials to help them get started with AI model development and cloud deployment. Whether you're a beginner or an expert, Intel’s resources guide you through the complexities of building scalable AI models and running them on the cloud.
Benchmarking and Performance Analytics
Once your models are up and running, Intel® Tiber™ AI Cloud offers robust benchmarking and performance analytics tools. These allow you to assess the efficiency of your AI models, identify bottlenecks, and optimize your system’s performance, ultimately saving both time and costs in the process.
Conclusion
Intel® Tiber™ AI Cloud offers a powerful, scalable, and cost-effective platform for AI development and deployment. With its advanced hardware, flexible compute options, and optimization tools, it is an ideal choice for startups and enterprises alike.
Whether you're looking to train complex AI models, fine-tune existing ones, or deploy them at scale, Intel® Tiber™ AI Cloud has everything you need to accelerate your AI journey
Related resources
Intel® Tiber™ AI Cloud - Cloud platform for AI development and deployment
6th Gen Intel® Xeon® Scalable Processor - Latest generation of enterprise server processors
Intel® Gaudi® 2 AI accelerator - High-performance AI training processor designed for deep learning workloads
As a Software Tools Ecosystem Specialist at Intel, I’ve had the privilege of working on the dynamic GenAI initiative. My focus is on driving engagement with the software developer audience. I'm a proud team member of the Intel® Liftoff for Startups and the Developer Engagement, Relations, and Studio team.