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Intel's Dedicated Deep Learning Chips are Out of this World


Published: 4-21-2021

Deep learning software is already changing the world with amazing new applications, now Intel is lighting a fire under the industry with its latest dedicated Deep Learning hardware accelerator - Spring Crest

What Is Deep Learning and How Will It Change Healthcare?


Deep learning is not a new concept, but it’s certainly a computing technology that’s finding a lot of applications these days. If you didn’t know, Deep Learning is a segment of machine learning, which is in turn a part of the larger field of artificial intelligence. Deep learning uses simulated neural networks to solve computing problems that are typically too hard or inefficient to solve using traditional programming methods. The virtual neural net learns solutions to tough problems such as recognizing and reconstructing faces. Which is how “Deepfake” videos are made. It’s an incredibly powerful approach, but also one that’s murder on traditional computing hardware. Deep learning thrives on massively parallel processor architecture, but even beefy GPUs need several days to process something like a Deepfake video.

Hardware makers such as Nvidia have begun to include hardware-level deep learning optimizations, such as in the latest RTX GPUs. That technology is already finding a place in data centers where AI applications can really stretch their legs.

Now Intel is throwing down the gauntlet with the Spring Crest deep learning accelerator. An incredibly impressive piece of hardware that works to improve deep learning performance.

Deep Numbers

The number “27 billion” is huge no matter how you slice it. It’s hard to imagine 27 billion of anything. Try it. Try imagining 27 billion rubber ducks. Can you?

So the fact that this chips sports 27 billion transistors is amazing. For comparison, the RTX Titan “only” has 18.6 billion transistors and that thing is a beast. The proper name for the Spring Crest-based chip is the Nervana Neural Network Processor for Training. Shortened to NNP-T.

It’s a 24-core unit with a total die are of 688 square millimeters. Again, for comparison, the Titan RTX chip with just over eight billion fewer transistors has an area of 754 square millimeters. So the process is tiny.

This chip will be employed in data centers to handle complex AI tasks such as voice synthesis, machine vision and language translation. The solution isn’t just a processor either, it packs a new memory architecture approach which uses HBM2 memory. 32GB of it to be precise.

Hardware Accelerator Design for Machine Learning | IntechOpen





LIST OF COMPATIBLE WORKSTATIONS


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Titan S64 - Intel Xeon W-3300 Series Processors 4U Rackmount Workstation PC for AI, Deep Learning up to 38 CPU Cores Titan S64 - Intel Xeon W-3300 Series Processors 4U Rackmount Workstation PC for AI, Deep Learning up to 38 CPU Cores

Machine learning is undoubtedly a crucial part of software development as well as providing AI cloud services for a wide variety of application types. The latest server CPUs are packed with specialized machine learning hardware acceleration, and the Titan S64 brings you a rack-mounted AI powerhouse solution in an affordable and compact package.




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Titan W64 Octane - Intel Xeon W-3300 Series Processors Workstation PC for AI, Deep Learning up to 38 CPU Cores Titan W64 Octane - Intel Xeon W-3300 Series Processors Workstation PC for AI, Deep Learning up to 38 CPU Cores

Our Titan W64 Octane makes all the difference in the computer world. Built on Intel Xeon 3300-series CPU technology with Ice Lake technology in its veins, the Titan W64 Octane is a cool computer with some hot performance numbers. It’s not only a multi-core CPU monster with new Intel Deep Learning Boost (Intel DL Boost), but can double as a titan of GPU-centric workloads as well. All thanks to the latest, cutting-edge workstation CPU technology from Intel. On the new Xeon W they added more pipes! Specifically, there are now 64 dedicated PCIe lanes. That means four x16 slots for four full-speed, high-end GPUs.




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Titan W599 Octane - Dual 2nd Gen Intel Xeon Scalable Processors Workstation PC for Quad GPU CUDA 3D Rendering and Simulations up to 56 CPU Cores Titan W599 Octane - Dual 2nd Gen Intel Xeon Scalable Processors Workstation PC for Quad GPU CUDA 3D Rendering and Simulations up to 56 CPU Cores

We’re always in a race to build the most powerful machines for every use case and budget point. Which means we can never take a break from trying to improve on our very best performing machines. With this latest generation Titan W599 Octane the envelope of what we can build has been pushed again. The W599 is one of our most powerful and most customized rigs to date. It’s designed to cover both CPU and GPU processing needs using new "Six Channel Memory Configuration". So if you’re thinking about entering the world of high-performance desktop computing, this should be your first stop.




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Titan A499 OCTANE - 3rd Gen AMD Ryzen Threadripper - 3D Rendering Workstation PC - up to 64 cores Titan A499 OCTANE - 3rd Gen AMD Ryzen Threadripper - 3D Rendering Workstation PC - up to 64 cores

Whether you want to pump out CPU- or GPU-based 3D rendering project, or both, the Titan A499 Octane has a configuration that will work for your specific workload, while offering one of the most flexible upgrade paths ever seen in a workstation computer. Sporting the latest AMD multi-core processing power and our own stunning custom case design, the A499 belongs on almost every workstation shortlist.




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Titan A499 OCTANE PRO - AMD Ryzen Threadripper Pro 5000 WX Series Workstation PC - up to 64 cores Titan A499 OCTANE PRO - AMD Ryzen Threadripper Pro 5000 WX Series Workstation PC - up to 64 cores

There are plenty of computers out there with “Pro” tacked on to the end of their names, but none like the Titan A499 Octane Pro deliver an equal amount of CPU threads and performance at a price that won’t make you feel like you’re paying for a brand. Like all Titan Workstations, this system is built using top grade internal components to ensure you get the maximum performance out of your processor.




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Titan A600 - Dual AMD EPYC Milan 8 GPU Server PC for AI / Deep Learning HPC up to 128 cores - Supermicro 4124GS-TNR Titan A600 - Dual AMD EPYC Milan 8 GPU Server PC for AI / Deep Learning HPC up to 128 cores - Supermicro 4124GS-TNR

AI and Machine Learning are quickly becoming the most important fields for high-performance computing. More and more of our customers have asked for dedicated AI and Machine Learning systems, which is where the Titan A600 comes in. Even HAL 9000 would be intimidated by this much Deep Learning power!





Starting Price: $9,717.50
Titan X575 - Dual 2nd Gen Intel Xeon Scalable Processors Server Computer for up to 10x NVIDIA Video Cards / GPUs and up to 56 CPU Cores Titan X575 - Dual 2nd Gen Intel Xeon Scalable Processors Server Computer for up to 10x NVIDIA Video Cards / GPUs and up to 56 CPU Cores

The X575 is a multi threaded, multi GPU capable system with the option to install up to 10 dual slot GPUs. Perfect for those who want GPU Supercomputing ability in a convenient rack-mounted form, the Titan X575 is a uniquely designed, flexible parallel processing workstation server. Up to 56 hyper-threaded Intel cores and ten GPUs mean no compromises for medical, nuclear, oil & gas or render farm parallel computing applications.





Starting Price: $10,295.00
   
 
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