Amazon to Invest $10B in North Carolina AI Infrastructure

RALEIGH, N.C. (June 4, 2025) – Amazon announced it plans to invest $10 billion in a cloud computing and artificial intelligence campus just east of Charlotte, NC. “Artificial intelligence is changing the way we work and innovate, and I am pleased that North Carolina will stay at the forefront of all that’s ahead as we […]

HPC News Bytes 20250210: Big AI CAPEX Binge, More Data Center SMRs, Euro-Origin Quantum, Softbank Eyes Ampere

Good post-Super Bowl morning to you! The past week was somewhat calm relative to the riotous preceding period in the world of HPC-AI, but still, important developments emerged. Here’s a fast (5:52) overview ….

Nuclear Power: X-Energy Closes $700M Round for SMR Development

ROCKVILLE, Md., February 6, 2025 – X-Energy Reactor Company, LLC (“X-energy”), a leader in advanced nuclear reactor and fuel technology, today announced the closing of its upsized Series C-1 financing round of $700 million. Segra Capital Management, Jane Street, Ares Management funds, Emerson Collective, and others join the previously announced round anchored by Amazon.com, Inc.’s […]

Oregon Bill Would Penalize Data Centers for Failure to Meet Emissions Requirements Starting in 2027

A bill before the Oregon state legislature would penalize data centers for not meeting emissions standards starting in 2027 and could — if approved in Oregon and similar measures are adopted by other states — have significant implications for hyperscalers and HPC organizations with heavy electrical requirements. A story in yesterday’s The Oregonian reported that […]

Why Hardware Acceleration Is The Next Battleground In Processor Design

In this special guest feature, Theodore Omtzigt from Stillwater Supercomputing writes that as workloads specialize due to scale, hardware accelerated solutions will continue to be cheaper than approaches that utilize general purpose components. “If you’re a CIO who manages integrations of third-party hardware and software, be aware of new hardware acceleration technologies that can reduce the cost of service delivery by orders of magnitude.”

Radio Free HPC Looks at New USA Supercomputing Map

In this podcast, the Radio Free HPC team looks at the new interactive USA Supercomputing Map from Hyperion Research. “As part of the discussion, Rich recaps Hyperion’s recent HPC User Forum in Tucson. The event featured an extended session on Quantum Computing with presentations by D-Wave Systems, Google, IBM, Intel, Microsoft, NIST, and Rigetti Computing.”

Radio Free HPC Looks at the Cryptocurrency Crash

In this podcast, the Radio Free HPC team looks at the recent cryptocurrency crash and why prices for these coins is so volatile. After that, we do our Catch of the Week, where the IBM Cloud is leading the company back to profitability.

Radio Free HPC Looks at High Performance Interconnects

In this podcast, the Radio Free HPC team looks at Dan’s recent talk on High Performance Interconnects. “When it comes to choosing an interconnect for your HPC cluster, what is the best way to go? Is offloading better than onloading? You can find out more by watching Dan’s talk from the HPC Advisory Council Australia conference.”

GPUs Power New AWS P2 Instances for Science & Engineering in the Cloud

Today Amazon Web Services announced the availability of P2 instances, a new GPU instance type for Amazon Elastic Compute Cloud designed for compute-intensive applications that require massive parallel floating point performance, including artificial intelligence, computational fluid dynamics, computational finance, seismic analysis, molecular modeling, genomics, and rendering. With up to 16 NVIDIA Tesla K80 GPUs, P2 instances are the most powerful GPU instances available in the cloud.

Amazon EC2 Computing Cloud and High-Performance Computing

2013 has been an exciting year for the field of Statistics and Big Data, with the release of the new R version 3.0.0. We discuss a few topics in this area, providing toy examples and supporting code for configuring and using Amazon’s EC2 Computing Cloud. There are other ways to get the job done, of course. But we found it helpful to build the infrastructure on Amazon from scratch, and hope others might find it useful, too.