News
When building large-scale AI GPU clusters for training or inference, the backend network should be high-performance, lossless, and predictable to ensure maximum GPU utilization. This is hard to ...
today announced the general availability of its new Private GPU Servers and GPU Clusters, delivering powerful, production-ready infrastructure for artificial intelligence (AI), machine learning ...
TL;DR: Huawei's CloudMatrix 384 AI cluster, powered by 384 Ascend 910C chips, delivers nearly double the BF16 performance and significantly more HBM memory than NVIDIA's GB200 NVL72 AI server.
SINGAPORE, April 24, 2025 /PRNewswire/ -- Cloud4C, world's leading multi-cloud MSP and a trusted AI transformation partner, announces its partnership with ORIX Rentec Corporation ("ORIX Rentec ...
Dense variants from 0.6 B to 32 B make it easy to prototype on laptops and scale to multi-GPU clusters without rewriting prompts. Running the weights on-premises means all prompts and outputs can ...
The increasing density of AI workloads – driven by models with trillions of parameters and GPU clusters pulling 100kW+ per rack – is forcing a rethink of traditional abstractions. Compute is becoming ...
Hosted on MSN20d
Obtaining a large quantity of sunflower seedsEver wondered how millions of sunflower seeds are collected? Watch this incredible process unfold as technology and skilled workers come together to harvest these golden crops. From massive ...
Other new hardware improvements include higher-performance block storage, and a new Cloud Storage zonal bucket that makes it possible to colocate TPU and GPU-based clusters to optimize performance.
Currently, there are no big GPU clusters in Africa and this is holding innovators back: “If you don’t have access to GPUs, it takes you many more hours, if not days, to build the same ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The AI landscape continues to evolve at a rapid pace, with recent ...
NBIS also builds full-stack infrastructure for AI, like large-scale graphics processing units or GPU clusters, cloud platforms, and tools and services for developers. Other notable offerings ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results