SpiNNcloud Systems Announces First Commercially Available Neuromorphic Supercomputer

[TheLostSwede]

Today, in advance of ISC High Performance 2024, SpiNNcloud Systems announced the commercial availability of its SpiNNaker2 platform, a supercomputer-level hybrid AI high-performance computer system based on principles of the human brain. Pioneered by Steve Furber, designer of the original ARM and SpiNNaker1 architectures, the SpiNNaker2 supercomputing platform uses a large number of low-power processors for efficiently computing AI and other workloads.

First-generation SpiNNaker1 architecture is currently used in dozens of research groups across 23 countries worldwide. Sandia National Laboratories, Technical University of München and Universität Göttingen are among the first customers placing orders for SpiNNaker2, which was developed around commercialized IP invented in the Human Brain Project, a billion-euro research project funded by the European Union to design intelligent, efficient artificial systems.




"Brain-like computation requires programmable dynamics, event-based communication, and extreme scale," said Fred Rothganger from Sandia National Labs. "SpiNNaker2 is the most flexible neural supercomputer architecture available today. At Sandia, we are excited to build applications on this amazing system."

Technical specifications for SpiNNaker2 include:

• The SpiNNcloud server board consists of 48 SpiNNaker2 chips. Each chip contains a low-power mesh of 152 Arm-based cores with a wide variety of accelerators including distributed GPU-like units designed to boost neuromorphic, hybrid, and mainstream AI model computations.
• The hybrid capabilities of SpiNNaker2 allow it to combine practical algorithms from Machine Learning, energy efficiency from an event-based operation, and the trustworthiness of rule-based layers governing the backend of applications.
• The commercial system is intended to be scaled up through a multi-rack setup, each composed of 90 SpiNNcloud server boards to enable at least 10 billion interconnected neurons firing in real-time. As a supercomputer designed to also allocate Machine Learning workloads, the pre-exascale system can support up to 0.3 exaops.
• SpiNNaker2 differentiates from GPU solutions by being more versatile, having a better performance, having a lower cost to run and having a better availability.
• In contrast to GPU solutions, SpiNNaker2 uses a large number of asynchronous low-power units to tackle workloads. This leads to more versatility, energy-proportional operation, efficient communication, and lower operation cost. SpiNNcloud is the first to make this neuromorphic supercomputing architecture broadly available and at scales that exceed any other neuromorphic system.
• SpiNNaker2 goes beyond neuromorphic architecture by offering hybrid AI acceleration, crucial for designing systems "in the third wave of AI," defined by DARPA as systems that understand the context and environment in which they operate, and over time build underlying explanatory models that allow them to characterize real-world phenomena.
• SpiNNaker2 will be initially available as a cloud platform solution, enabling early customers to get access to the technology as cost efficiently as possible.

"Our vision is to pioneer the future of artificial intelligence through brain-inspired supercomputer technology, and to create systems that are not only powerful but also transparent and explainable," said Hector Gonzalez, co-founder and co-CEO at SpiNNcloud Systems. "We're building the most advanced brain-like supercomputing platform on the market, which positions us as the market leader in hybrid AI HPC. And it enables us to drive the development of reliable, efficient hybrid AI systems, opening up entirely new markets in next-generation defense, drug discovery, quantum emulation, smart city applications and more."

The company's cloud service will be available in the second half of 2024, and full production systems will be available for shipment in the first half of 2025.

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[Onasi]

“Neuromorphic” sounds like a descriptor for a particularly nasty disease, probably auto-immune. Unfortunate naming, IMO.
And really? Your supercomputer is brain-like? That’s a big claim considering that our understanding of just how the brain works is still very limited beyond the basic biomechanics/biochemistry.

 

[Readlight]

So robots only, will live thear own social life on other planet.

 

[Vya Domus]

If the actual chips aren't analog it's misleading to call them "neuromorphic".

 

[Denver]

Not a single piece of performance data... Only "our product is good, efficient, much better than X and Y, believe me!"

 

[ScaLibBDP]

Not a single piece of performance data... Only "our product is good, efficient, much better than X and Y, believe me!"

48 chips x 152 ARM cores x ~457 GFLOPs per ARM core x up to 90 server boards ~= 300084480 GFLOPs ~= 300 PFLOPs ~= 0.3 EFLOPs

 

[Minus Infinity]

If the actual chips aren't analog it's misleading to call them "neuromorphic".

Huh, the term "neurmorphic" applies to analog, digital or hybrid analog/digital systems that use neural model for processing. It does not have to be analog at all.