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About

Intel’s Gaudi software gives developers access to a comprehensive set of tools, libraries, containers, model references, and documentation that support creation, migration, optimization, and deployment of AI models on Intel® Gaudi® accelerators. It helps streamline every stage of AI development including training, fine-tuning, debugging, profiling, and performance optimization for generative AI (GenAI) and large language models (LLMs) on Gaudi hardware, whether in data centers or cloud environments. It includes up-to-date documentation with code samples, best practices, API references, and guides for efficient use of Gaudi solutions such as Gaudi 2 and Gaudi 3, and it integrates with popular frameworks and tools to support model portability and scalability. Users can access performance data to review training and inference benchmarks, utilize community and support resources, and take advantage of containers and libraries tailored to high-performance AI workloads.

About

RunPod offers a cloud-based platform designed for running AI workloads, focusing on providing scalable, on-demand GPU resources to accelerate machine learning (ML) model training and inference. With its diverse selection of powerful GPUs like the NVIDIA A100, RTX 3090, and H100, RunPod supports a wide range of AI applications, from deep learning to data processing. The platform is designed to minimize startup time, providing near-instant access to GPU pods, and ensures scalability with autoscaling capabilities for real-time AI model deployment. RunPod also offers serverless functionality, job queuing, and real-time analytics, making it an ideal solution for businesses needing flexible, cost-effective GPU resources without the hassle of managing infrastructure.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers and AI engineers who build, train, optimize, and deploy generative AI and large language models using Intel Gaudi accelerators and related tools

Audience

RunPod is designed for AI developers, data scientists, and organizations looking for a scalable, flexible, and cost-effective solution to run machine learning models, offering on-demand GPU resources with minimal setup time

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

$0.40 per hour
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Intel
Founded: 1968
United States
www.intel.com/content/www/us/en/developer/platform/gaudi/overview.html

Company Information

RunPod
Founded: 2022
United States
www.runpod.io

Alternatives

Alternatives

OpenVINO

OpenVINO

Intel

Categories

Categories

Integrations

Amazon EC2
Axolotl
Codestral
DeepSeek R1
Dropbox
EXAONE
Google Drive
IBM Granite
IONOS Cloud GPU Servers
Llama 2
Llama 3.2
Microsoft Azure
Mistral 7B
Phi-3
Phi-4
Qwen2.5
ReinforceNow
SmolLM2
TensorFlow
WaveSpeedAI

Integrations

Amazon EC2
Axolotl
Codestral
DeepSeek R1
Dropbox
EXAONE
Google Drive
IBM Granite
IONOS Cloud GPU Servers
Llama 2
Llama 3.2
Microsoft Azure
Mistral 7B
Phi-3
Phi-4
Qwen2.5
ReinforceNow
SmolLM2
TensorFlow
WaveSpeedAI
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Claim Intel Gaudi Software and update features and information