VentureBeat

Together AI's ATLAS adaptive speculator delivers 400% inference speedup by learning from workloads in real-time

Enterprises expanding AI deployments are hitting an invisible performance wall. The culprit? Static speculators that can't keep up with shifting workloads. Speculators are smaller AI models that work ...
Hosted on MSN

MetalRT brings the first unified AI inference engine to Apple Silicon

Artificial intelligence is rapidly moving beyond cloud servers and into the devices people use every day. Laptops, smartphones and edge systems now have enough computing power to run sophisticated ...
EDN

Purpose-built AI inference architecture: Reengineering compute design

Over the past several years, the lion’s share of artificial intelligence (AI) investment has poured into training infrastructure—massive clusters designed to crunch through oceans of data, where speed ...
EDN

NTT develops AI inference chip for 4K video processing

At its Upgrade 2025 annual research and innovation summit, NTT Corporation (NTT) unveiled an AI inference large-scale integration (LSI) for the real-time processing of ultra-high-definition (UHD) ...
VentureBeat

The team behind continuous batching says your idle GPUs should be running inference, not sitting dark

Every GPU cluster has dead time. Training jobs finish, workloads shift and hardware sits dark while power and cooling costs keep running. For neocloud operators, those empty cycles are lost margin.
Forbes

The New Frontier Of LLM Inference: Where The Next Tenfold Gains Will Come From

Shakti P. Singh, Principal Engineer at Intuit and former OCI model inference lead, specializing in scalable AI systems and LLM inference. Generative models are rapidly making inroads into enterprise ...