Upscale AI Partners With Nvidia While Competing With It
Every CPU maker always had its own and very proprietary way to link multiple CPUs into shared memory ...
Next Platform11 min read
nvlink
6 stories
How DOCA GPUNetIO Unifies GPU-Initiated Networking Across the NVIDIA Software Stack
GPU applications increasingly need networking and data movement to behave like first-class GPU-controlled operations rather than host-driven services. When the...
NVIDIA Developer Blog16 min read
How GPUs Actually Talk: The Two Networks Inside Every AI Datacenter
Two networks carry a model's data between GPUs. Scale-up connects the GPUs inside one rack. Scale-out connects racks to each other. In NVIDIA's 72-GPU rack, scale-up carries 900 GB/s per GPU in each direction and scale-out carries 100 GB/s, a 9x difference.
Scrollypedia
AI Infra Summit: NVIDIA Vera Rubin and DSX Platform Advancements Showcase Energy Efficiencies of Optimizing Tokens Per Watt for AI Factories
Ian Buck, vice president of hyperscale and high-performance computing at NVIDIA, Tuesday spoke on AI factory efficiency at the AI Infra Summit, the Santa Clara Convention Center event that has morphed into a Coachella of infrastructure tech.
NVIDIA AI Blog9 min read
How NVIDIA NVLink 6 Delivers Multi-Layer Resiliency for AI Factories
For operators of large-scale AI factories, maximizing continuous output is essential for productivity. In massive-scale AI training, every GPU in the cluster...
NVIDIA Developer Blog9 min read
In The Long Run, Nvidia NVSwitch Is The InfiniBand Of Scale Up AI Networks
Way back in the dawn of time, there were two rival future I/O schemes for PCs and servers, and as th ...
Next Platform8 min read
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