Chips & Supply · United States

Mueon nabs $65M in funding to develop 3D computing modules

Credited to SiliconANGLE · siliconangle.com · 13h ago

Photograph · SiliconANGLE

Data center hardware startup Mueon Corp. today announced that it has raised $65 million in funding.

Semiconductor-focused fund Maverick Silicon led the Series A round. It was joined by Intel’s venture capital arm, Oregon Venture Fund, Wellington Capital, IQT and several others.

Mueon was founded last year by former Intel engineers Wilfred Gomes and Jack Hwang. Gomes, the company’s Chief Executive Officer, worked on die stacking technologies during his time at the chip giant. Hwang, who is Mueon’s Chief Technology Officer, helped develop the techniques that Intel uses to etch transistors into silicon wafers.

A traditional server’s core components sit next to one another on a motherboard in a kind of two-dimensional configuration. Mueon is developing a three-dimensional server architecture, Cubelet, that stacks computing and memory components atop one another. According to the company, the technology could prove up to be 10 times more power- and cost-efficient than current hardware.

Stacked system designs are more efficient than traditional 2D hardware because they pack server components closer together. That reduces the physical distance data must travel between those components. Shortening data travel times, in turn, lowers the associated power use. It also speeds up computations in the process.

In a blog post published last year, Mueon investor Oregon Venture Fund described Cubelets as “Legos for the data center.” The post stated that a Cubelet module includes not only computing and storage modules but also the auxiliary hardware they need to operate reliably. That includes interconnect, power delivery and thermal management equipment.

Thermal management is a major challenge in 3D computing systems. One source of complexity is that processors and memory chips often have different maximum operating temperatures. That means a processor operating near its maximum temperature can overheat any memory modules that may be stacked on top of it.

In many servers, chips dissipate a part of the heat they generate by channeling it to the motherboard. Doing so is relatively simple when a chip is placed directly on its motherboard. However, that’s often not the case in 3D systems. The heat from the top layer of a 3D system must go through multiple other components before it reaches the motherboard.

Last year’s Oregon Venture Fund blog post stated that Mueon had found a way of addressing 3D systems’ thermal management issues. The article also detailed that the company’s Cubelet modules can host multiple types of chips. They will support, among others, graphics cards and Arm central processing units.

Mueon stated today that its Cubelets are optimized for artificial intelligence and hyperscale workloads. The company will use the proceeds from its funding round to hire more engineers and improve its system design. In parallel, Mueon is developing software that will enable customers to run popular AI frameworks on its hardware.

“This financing gives us the scale to bring the next generation of compute and memory system-scale integration to market,” Gomes said. “Mueon’s architecture is built to move past today’s rack-level constraints and deliver the kind of density the rest of the industry is only beginning to chart a path toward.”

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NTT deploys Nvidia GPU test cluster at Munich 2 data center

Credited to Data Center Dynamics · datacenterdynamics.com · 21h ago

Photograph · Data Center Dynamics

Allows customers to test AI applications on Nvidia Blackwell hardware

NTT Global Data Centres has deployed an Nvidia GPU cluster at its Munich 2 data center.

According to the company, the cluster provides clients with a “real-world environment” where they can test how their AI applications will perform at scale before investing in broad deployments themselves.

Unlike a traditional AI demonstration or innovation lab, the cluster – which NTT has dubbed AI Factory Munich – allows customers to evaluate AI workloads against the infrastructure, security, data, governance and operational requirements they will face in production.

In a post on LinkedIn, Anne-Sophie Lotgering, CEO Europe, NTT, said that Nvidia and Dell provided the infrastructure whilst Red Hat and Mistral AI worked with the company on the platform and the model. The cluster is comprised of Nvidia Blackwell GPUs interconnected via Nvidia Spectrum-X Ethernet technology, with servers and storage provided by Dell’s AI Factory, with Nvidia offering.

“Every leader I speak to wants AI they own, control and trust. At NTT Data's AI factory Munich, they can run their own applications and data in a production data center, on their terms, before they commit to deployment. It‘s the difference between a slide and a decision,” said Graham Clarke, managing director, global private and sovereign AI, NTT Data.

Located in the German town of Unterschleißheim outside Munich, Bavaria, NTT’s 6,300 sqm (67,813 sq ft) Munich 2 campus consists of two buildings offering 14MW of critical IT load.