… Aleksandr Patrushev is head of product management for ML/AI, Nebius nebius-22800-pc2 nebius cloud ai neocloud Dell Makes The Profits Up In Volume For Booming AI Servers June 1, 2026 store Data And Storage At The Center Of The AI Stack May 29, 2026 Compute GPUs And RAM Are In Short Supply, But The R…
… As part of the recent TPU 8 announcements last week , where Google announced a TPU 8i tailored for inference and a TPU 8t aimed at training, I said we would circle back and take a look at the new Boardfly configuration of the Inter-Chip Interconnect that Google invented to cluster together its TPU … …
… A historic dearth of data and ensuing under-investment in female-specific training and support is holding too many women athletes back. There are many reasons for this lack of information. This includes women's late access to professional competitions, cultural bias, and lower levels of sponsorship. …
… IBM was raking in money hand over fist with the System/360 and then the System/370 mainframes six and then five decades ago, too, and vanquished just about all of its competition in mainframes except a very pesky Amdahl eventually teamed with Fujitsu and a persistent Hitachi – both running IBM’s ow… …
… They will use the cloud perhaps to do AI training , but they will buy gear and stick it in their datacenter or a co-location facility. …
… Governed, cataloged data provides trusted input for training models, while metadata grounds large language models, reducing hallucinations and improving accuracy. Third-party support uses open standards like Iceberg and APIs, remaining engine-agnostic. …
Compute Taalas Etches AI Models Onto Transistors To Rocket Boost Inference Adding big blocks of SRAM to collections of AI tensor engines, or better still, a waferscale collection of such engines, turbocharges AI inference, as has been shown time and again by AI upstarts Cerebras Systems, SambaNova … …
… Along with the move toward domain-specific AI models, businesses want to use their own data in AI training and inferencing and want to keep it in-house for security and privacy reasons. …
… All of this means that Microsoft can relax a little, add other models to its Azure stack and work to bring more and more AI functions to its vast application and system software base as well as extend its Azure platform to be a place where companies who can’t get access to GPUs and XPUs or who neve… …
… So does the company’s CEO. “Google Cloud is differentiated because we are the only provider to offer first party solutions across the entire enterprise AI stack,” Pichai said on the call. “Our growth in revenue, operating margin, and backlog highlights this differentiation. …