Large-scale AI workloads are deployed by stringing together many cards and many nodes. Any increase in model size, context length or users impacts the number of cards needed. Gone are…Read More
AI adoption is accelerating at an unprecedented pace, but the economics of running AI models are becoming unsustainable. And the cracks are beginning to show. As more people rush to…Read More
The future of AI workflows is almost certainly going to be multi-modal agents. But rather than incredibly complex, compute-hungry multimodal models, there’s already a much easier pathway to get there. …Read More
AI infrastructure spending has seen a remarkable surge, with IDC reporting a 97% increase to $47.4 billion in the first half of 2024. The revenue distribution reveals that OEMs and…Read More
