…It said its work would allow orgs to "scale AI initiatives" while "adhering to regional data sovereignty and compliance requirements." Dr Bastian Koller, Managing Director of the High Performance Computing Center at…
…Many of the tasks performed by agentic systems involve retrieving data and executing code against it, making high memory bandwidth key to avoiding bottlenecks. MORE CONTEXT RAM is getting expensive, so squeeze…
…The 270K's higher all-core boost clocks and additional E-Cores contribute to a 9 percent gen-on-gen increase over the older Ultra 7 in transcode performance. The 250K also…
…The idea behind Sunrise is to combine high-performance computing with physics-informed AI models, allowing researchers to run more detailed simulations and develop digital twins of complex fusion systems before attempting…
…Fewer cores hanging off the same memory subsystem usually, but not always, translates to higher bandwidth per core. Compared to Intel's top-specced Clearwater Forest parts, Arm's CPU offers more…
…Speculative decoding is a method for juicing inference performance by using a smaller, more performant "draft" model to predict the outputs of a larger model. When it works, the technique can speed…
…Built with specific optimizations for GenAI inference, by doubling the HBM bandwidth of the MTIA 400 to levels that Meta says means its performance is “much higher than that of existing leading…
…There's not even a clear agreed-upon definition, beyond being an AI that's able to perform well across subject areas. The DeepMind team didn't bother to clarify much about…
…Nutanix Unified Storage delivers linearly scalable read/write performance for thousands of GPU clients. Nutanix provides a scalable, low-latency data fabric that maximizes GPU efficiency by providing a high-capacity tier…
…The trade off, of course, is that you need many chips in order to perform that kind of performance," Buck explained. "The tokens per second per chip, is actually quite low." In…