IT/Datacenter & Super Computing - Page 2

Microsoft is hiring for a new role at the company, Principal Program Manager of Nuclear Technology. Microsoft is going nuclear, with the company planning to implement a global Small Modular Reactor (SMR) and microreactor energy strategy.

With the rise of AI and the exponential increase in data center power requirements, the company is looking to the controversial nuclear power for its Cloud and AI business.

"The ideal candidate will have experience in the energy industry and a deep understanding of nuclear technologies and regulatory affairs," the job listing writes. It's worth noting that this will not involve Microsoft building massive nuclear power reactors all over the globe but will use specialized microreactors that are compact, transportable, and "plug-and-play."

Microsoft has released a scientific-sounding roadmap for building its first quantum supercomputer, built on the research and advances it has made with topological qubits in recent years. Even though more work is needed, Krysta Svore, Microsoft's VP of advanced quantum development, has told TechCrunch that it's on track to build a functional quantum supercomputer in less than 10 years.

"We think about our roadmap and the time to the quantum supercomputer in terms of years rather than decades," Krysta Svore said. It's an ambitious roadmap for sure, and quantum computing is an exciting prospect when it comes to high-performance computing. Quantum computers use qubits, capable of running multidimensional algorithms, and the real kicker is that their power increases exponentially as more qubits are added. Compared to the linear progression of standard computing, it's no wonder it's seen as the next big frontier.

The issue is that quantum computing can have high error rates and needs to be kept extremely cold and free from even the slightest physical interference.

NVIDIA's nifty little Jetson Nano modules have been used by two students at the Southern Methodist University in Dallas, Texas to create a mini supercomputer.

The desktop supercomputer is powered by 16 x NVIDIA Jetson Nano modules, with the students building it into a clear acrylic case, including the power supplies required, cooling fans to get rid of the heat, and a network switch to connect it all together.

Southern Methodist University received outside funding to design the NVIDIA Jetson Nano-powered desktop supercomputer, which will be used to educate students about how a computer cluster works. The project took four months of learning and labor for the design and creation, while the students were learning about networking.

The National Oceanic and Atmospheric Administration has just replaced two outdated supercomputers with new supercomputers that will bring massive upgrades to weather forecasting.

The National Oceanic and Atmospheric Administration (NOAA) announced back in 2020 that it would be replacing some of its older, now-outdated supercomputers that are used to run weather forecasts and predict patterns. NOAA has now replaced the older models, which were Cry and IBM supercomputers located in Reston, Virginia, Florida, and Orlando - with two Hewlett Packard Enterprise (HPE) Cray supercomputers.

These two supercomputers come with 2,560 AMD Epyc Rome 64-core 7742 server CPUs that collectively provide 327,680 cores that are capable of operating up to 12.1 petaflops. This new setup is approximately three times faster than what NOAA was previously using, and with the new upgraded power, the agency believes it will be able to provide more accurate and detailed weather forecasts to the public. Notably, the two new NOAA supercomputer systems are called Dogwood and Cactus, and rank as the 49th and 50th fastest supercomputers in the world.

The latest generation of Sunway supercomputer rivals the performance of Frontier, which was recently labelled the world's most powerful supercomputer.

According to the researchers behind the latest Sunway supercomputer, the Sunway has over 37 million CPU cores, quadrupling the number found in Frontier, nine petabytes of memory, and 96,000 semi-independent computer systems referred to as 'nodes,' that can exchange data at rates greater than 23 petabytes per second. The Sunway is capable of exascale computing, allegedly up to 5.3 exaFLOPS (5.3 quintillion floating-point operations per second).

The research team trained an artificial intelligence (AI) model, named bagualu (meaning alchemist's pot), with 174 trillion parameters using the Sunway. According to the South China Morning Post, this number rivals that of the number of synapses in the human brain, though some estimates of the true number of synapses go as high as 1,000 trillion.

Atos is building the new MareNostrum 5 supercomputer, with a new $160 million contract signed in part of the EuroHPC JU initiative, and once it's built it will be the fastest supercomputer in the European Union.

NVIDIA's new Grace Superchips will be powering the new Atos MareNostrum 5 supercomputer, which will be built in Spain and delivered to the Barcelona Supercomputing Centre (BSC) in 2023. Inside, the new MareNostrum 5 supercomputer will pack 314 petaflops of FP64 computing performance.

The compute and storage partitions will be operational within the year, reports HPC Wire, adding that the remainder of the MareNostrum 5 supercomputer to be "operational within the year". NVIDIA has also added that the system is "expected to enter deployment in 2023". BSC says that the new MareNostrum 5 supercomputer will be "fully powered with green energy, and will utilize heat reuse technology".

The new NREL Kestrel supercomputer details have been unveiled, with the National Renewable Energy Laboratory (NREL) division of the US Department of Energy (DOE) packing some serious horsepower into its new supercomputer.

We're looking at a Minajatwa of silicon between Intel Sapphire Rapids Xeon CPUs, AMD EPYC "Genoa" CPUs, and NVIDIA H100 GPU accelerators. We have 44 petaflops of peak compute performance, up from just 8 petaflops on the previous-gen Eagle supercomputer.

CPU upgrades are big: Intel Sapphire Rapids Xeon CPUs with 52 cores, 112 threads each -- up from the 18 cores and 36 threads from the Intel Xeon-Gold Skylake CPUs in the Eagle supercomputer.

It's a huge day for supercomputers, with AMD powering the world's fastest supercomputer -- the Oak Ridge National Laboratory (ORNL) "Frontier" supercomputer -- and now NVIDIA has announced it is powering the "Venado" supercomputer.

NVIDIA announced last week that Taiwan tech giants were preparing NVIDIA Grace CPU-powered servers, and now we have our first: the new Venado supercomputer that's being constructed by the Los Alamos National Laboratory. The new VENDAO supercomputer is capable of a huge 10 exaflops of peak AI performance.

It feels like a little bit of "me too" with NVIDIA's announcement of the Venado supercomputer, but more concrete details will be provided at the International Supercomputing Conference in Hamburg, Germany later today. The new AMD CPU + GPU-powered Frontier supercomputer was teased yesterday, and now we have the NVIDIA CPU + GPU-powered Venado supercomputer here today.

The massively powerful new Oak Ridge National Laboratory (ORNL) supercomputer dubbed "Frontier" has broken the 1.1 exaflops barrier, becoming the first machine in the world to breach the historic exascale barrier.

The Department of Energy (DOE) will operate the new Frontier supercomputer in Tennessee, USA, with the system costing up to $1.8 billion to build and is now the world's fastest supercomputer, overtaking the Fugaku supercomputer in Japan. ORNL's new supercomputer is powered by AMD 3rd Gen EPYC CPUs and AMD's newest Radeon Instinct MI250X GPUs.

Inside, we have 74 purpose-built HPE Cray EX supercomputer cabinets with 9408 AMD EPYC CPUs for a total of (a bonkers) 8,730,112 processing cores, and 37,632 AMD Instinct MI250X GPUs with a power efficiency rating of 52.23 gigaflops/watt. There's 700PB of data storage with peak write speeds of an insane 5TB/sec (5000GB/sec).

We all know that turning ray tracing on radically reduces performance, so any help in the performance department is not only welcomed, it's begged for.

A team of researchers from the UK, US, and Portugal have suggested that there's some huge untapped performance using a hybrid of classical ray tracing algorithms with quantum computing. Ray tracing workloads that were boosted by up to 190% by quantum computing.

How? By limiting the amount of computations needed by each individual ray. The researchers demonstrated this by rendering a small, 128x128 ray traced image in three approaches: classical rendering, non-optimized quantum rendering, and optimized quantum rendering.