Even more importantly (for Intel), its latest MLPerf submission highlight several performance wins over NVIDIA's A100-80G for eight accelerators on vision and language training models. In case you ...

which translates to 56% model flops utilization without activation checkpointing (We expect the MFU to be even higher on A100-80G). It means you can train a chinchilla-optimal TinyLlama (1.1B ...

The Phi-3.5 Mini Instruct model was trained on 3.4 trillion tokens using 512 H100-80G GPUs over 10 days, while the Vision Instruct model was trained on 500 billion tokens using 256 A100-80G GPUs ...

The model, which has 4.2 billion parameters and contains an image encoder, connector, projector, and Phi-3-Mini language model, supports 128K tokens and was trained on 256 Nvidia A100-80G GPUs ...

At SC20, Inspur showcased two servers tailored for AI workloads, the NF5488A5 and NF5488M5-D, which provide support for the latest Nvidia A100 80G GPU and are now available globally. Earlier this year ...

Nvidia announced today that its NVIDIA A100, the first of its GPUs based on its Ampere architecture, is now in full production and has begun shipping to customers globally. Ampere is a big ...

Huawei's Ascend 910B AI chip has been found in some tests to deliver 80 per cent of the efficiency of an Nvidia A100 when training large language models, but "in some other tests, Ascend chips can ...