In the current era of rapid technological advancement, high performance is a fundamental necessity for organizations driving innovation in machine learning and AI as well as complex rendering. However, maintaining the physical infrastructure required to power these workloads is a challenging task. It involves significant thermal management challenges, persistent power requirements, and the constant need […]
Author Archives: Massed Compute
16
Apr
Apr
Organizations assume that running modern AI workloads (particularly inference) requires the latest generation of high-performance GPUs such as NVIDIA H100 or Blackwell architectures. While these cutting-edge processors offer remarkable performance, they are not always necessary. In reality, many AI workloads can run efficiently on lower-cost or older GPUs when properly optimized. This misconception is costing […]
31
Mar
Mar
This year, we’re heading to San Francisco for HumanX from April 6 through April 9, 2026. As the #1 AI conference, HumanX is built for the decision-makers and leaders deploying and scaling AI in the real world. We’re beyond excited to take part. Not only are we attending, but we’re also co-hosting curated spaces to […]
27
Mar
Mar
In the late months of 2022, the higher education sector was largely defensive. When ChatGPT first arrived, headlines were dominated by “plagiarism panics” and bans on generative tools. But stand on a university campus in 2026, and you’ll find that the “AI crisis” has been replaced by an “AI construction” boom. The narrative has shifted. […]
20
Mar
Mar
For more than a decade, public cloud platforms have transformed how enterprises deploy, scale, and manage infrastructure. The ability to access virtually unlimited compute resources on demand has enabled organizations to innovate faster and reduce the operational burden of managing physical hardware. However, as enterprise AI adoption accelerates and infrastructure costs climb, many organizations are […]
03
Mar
Mar
The real breakthroughs at NVIDIA GTC 2026 will be where the builders meet. This March 16-19 in San Jose, CA, we’re co-hosting three curated happy hour events designed for those shipping, not just pitching, the future of AI. Check out our events and sign up to join us for serious technical conversations, cold drinks, and […]
27
Feb
Feb
Modern enterprises face a critical infrastructure bottleneck as they compete for leadership in the AI sector. On one hand, the public cloud offers agility but often comes with variable costs and data sovereignty risks. On the other hand, traditional on-premises hardware ownership provides control but saddles IT departments with massive capital expenditures (CapEx) and the […]
20
Feb
Feb
Choosing the wrong infrastructure slows your research team down and quietly creates friction across your entire business. This is because costs creep up, timelines slip, and risk starts to pile on in places you didn’t expect. A lot of specialized “neoclouds” sound great on paper. Easy access to GPUs, flexible scaling, attractive pricing. But once […]
06
Feb
Feb
Graphics Processing Units (GPUs) are the workhorse of modern computational research, accelerating tasks that would otherwise take days or weeks on CPUs. When those GPUs are scarce, the ripple effects through university research programs are immediate and multifaceted: experiments slow or stop, inequities widen, budgets strain and innovation timelines stretch out. Here’s how GPU shortages […]
30
Jan
Jan
It is a new class of infrastructure designed for one purpose: turning large volumes of data into usable intelligence at scale. Predictions, automated decisions, real‑time recommendations, continuously improving models… these are the outputs of an AI factory. Unlike traditional data centers or general‑purpose clouds, AI factories are purpose‑built to run AI workloads as efficiently, predictably, […]