When configuring a modern server, one of the most common questions customers ask is how many memory channels need to be populated. While it is widely understood that increasing the number of populated channels increases the theoretical memory bandwidth available to the processor, it is less clear whether every supported channel must be populated to achieve strong real-world performance.
READ MOREConsider how a project to find a new Parkinson’s disease therapy actually begins. Before any molecule is drawn, a researcher has to build a defensible picture of what to target. That means reading. Not a handful of papers, but a literature that now runs to tens of thousands of primary studies, reviews, conference abstracts and database entries, growing faster every year than any individual can follow.
READ MOREThe exponential growth of Generative AI, Large Language Models (LLMs), and complex High-Performance Computing (HPC) simulations require dozens, hundreds, or even thousands of GPU working in concert. The latest GPU technologies often steal the limelight but can put strain on a critical bottleneck in datacentres: the network.
READ MOREOn the shores of the Adriatic, with the old city of Split just along the coast, Supermicro brought together its most important partners from across Europe, the Middle East and Africa for Innovate! EMEA 2026. Boston Limited was in the room. After two days of sessions, demos and conversations, one thing was clear: the AI infrastructure market is not slowing down, and the next twelve months will reward those who plan ahead.
READ MORERADAREYE needed serious AI compute on a government-funded deadline. Cloud couldn't deliver in time. Boston built a dual NVIDIA Blackwell workstation instead, saving over £60,000 and freeing that budget for local AI hires.
READ MOREHow to Deploy a Private LLM is a practical guide to deploying a private, self-hosted LLM in 2026.
READ MOREBoston’s AI and HPC systems engineering with Cloudian’s S3-compatible exabyte-scale object storage to give European organisations performance at scale without ceding control of their data
READ MOREFor organisations deploying AI platforms, the global hardware landscape is changing rapidly. Demand for memory, storage and accelerator technologies is growing at an accelerated rate. For much of the past two years, the conversation around artificial intelligence has been dominated by models. Bigger models. Faster models. More capable models.
READ MOREIf you work with biological data, life sciences research or AI-driven analysis, this blog offers a reflective take on what it really means to understand living systems, and how our tools are finally starting to catch up.
READ MOREAn enormous amount of modern life depends on the quiet assumption that cause leads to effect in a neat, orderly fashion, and that if something goes wrong, we can usually trace the problem back to a missed step.
READ MORETo help our clients make informed decisions about new technologies, we have opened up our research & development facilities and actively encourage customers to try the latest platforms using their own tools and if necessary together with their existing hardware. Remote access is also available
SourceCode and Boston are exhibiting at SC26!