Gimlet Labs just raised an $80 million Series A for tech that lets AI run across NVIDIA, AMD, Intel, ARM, Cerebras and ...

The focus of artificial-intelligence spending has gone from training models to using them. Here’s how to understand the difference—and the implications.

The vast proliferation and adoption of AI over the past decade has started to drive a shift in AI compute demand from training to inference. There is an increased push to put to use the large number ...

If the hyperscalers are masters of anything, it is driving scale up and driving costs down so that a new type of information technology can be cheap enough so it can be widely deployed. The ...

The company says its new architecture marks a shift from training-focused infrastructure to systems optimized for continuous, low-latency enterprise AI workloads.

Gimlet Labs raises $80M in Series A funding to tackle the AI inference bottleneck with a new multi-silicon cloud platform.