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JAX

NVIDIA Achieves 36% Training Speedup for 256K Token AI Models
Jax

NVIDIA Achieves 36% Training Speedup for 256K Token AI Models

NVIDIA's NVSHMEM integration with XLA compiler delivers up to 36% faster training for long-context LLMs, enabling efficient 256K token sequence processing on JAX.

Enhancing Inference Efficiency: NVIDIA's Innovations with JAX and XLA
Jax

Enhancing Inference Efficiency: NVIDIA's Innovations with JAX and XLA

NVIDIA introduces advanced techniques for reducing latency in large language model inference, leveraging JAX and XLA for significant performance improvements in GPU-based workloads.