Intel Gaudi2 96GB HBM2e Accelerator GPU
$2,500.00
The Intel Gaudi2 96GB HBM2e Accelerator GPU is built to tackle demanding machine learning and deep learning workloads. With 96GB of HBM2e memory, it delivers high speed and bandwidth, enabling efficient processing of large datasets and complex tasks.
- Order now and your order ships by Tue, Mar 12
Overview
The Intel Gaudi2 96GB HBM2e AI Accelerator GPU (P/N: PC-07784-01-GP3) is an advanced AI accelerator that delivers exceptional performance for artificial intelligence workloads. Designed for scalability, the Gaudi2 GPU boasts an impressive 96GB of HBM2e (High Bandwidth Memory 2 Enhanced) memory, providing massive memory bandwidth and enabling ultra-fast data access speeds.
Intel’s Gaudi2 is built specifically for AI and machine learning, with features that optimize large-scale model training, data analytics, and inference tasks. The architecture is highly parallelized, allowing it to handle AI applications, from natural language processing (NLP) and computer vision to predictive analytics and autonomous systems. Its deep integration with AI frameworks such as TensorFlow, PyTorch, and MXNet makes it an excellent choice for both research and production environments.
Whether you’re developing next-generation AI applications, training complex neural networks, or optimizing deep learning models, the Intel Gaudi2 delivers the power and reliability needed to push the boundaries of AI performance. This GPU is a powerful tool for enterprises, research institutions, and tech innovators looking to accelerate their AI capabilities.
Details
| specifications | |
|---|---|
| Category: | AI Accelerator GPUs |
| Specification: | 96GB HBM2e memory, optimized for AI and deep learning tasks |
| Dimension: | Standard GPU size, details available based on model |
| Material: | Advanced semiconductor materials, high-performance PCB |
3 reviews for Intel Gaudi2 96GB HBM2e Accelerator GPU
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– Robert K. –
Using the Gaudi2 for our machine learning models has significantly improved processing speed. The 96GB HBM2e memory allows us to train more complex models without hitting performance bottlenecks. The GPU runs efficiently, and we’ve seen great results in both scalability and accuracy
– Marcus L –
We’ve integrated the Intel Gaudi2 into our AI research lab, and it’s been impressive so far. The speed and memory bandwidth are fantastic, handling large datasets with ease. My only complaint is the setup documentation, which could be a bit more detailed for first-time users. Otherwise, an excellent addition to any AI-focused project
– Emily P. –
The Intel Gaudi2 GPU has drastically reduced our training times for deep learning models. The 96GB HBM2e memory is a game-changer, and we’ve noticed a significant boost in efficiency. It integrates well with our existing AI frameworks, and the performance is unparalleled in our current setup.