With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.
The shift from training-focused to inference-focused economics is fundamentally restructuring cloud computing and forcing ...
Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
AI users and developers can now measure the amount of electricity various AI models consume to complete tasks with an ...
These speed gains are substantial. At 256K context lengths, Qwen 3.5 decodes 19 times faster than Qwen3-Max and 7.2 times ...
Taalas has launched an AI accelerator that puts the entire AI model into silicon, delivering 1-2 orders of magnitude greater ...
4don MSN
Co-founders behind Reface and Prisma join hands to improve on-device model inference with Mirai
Mirai raised a $10 million seed to improve how AI models run on devices like smartphones and laptops.
WEST PALM BEACH, Fla.--(BUSINESS WIRE)--Vultr, the world’s largest privately-held cloud computing platform, today announced the launch of Vultr Cloud Inference. This new serverless platform ...
The Register on MSN
Intel backs SambaNova's $350M bid to challenge GPUs in AI inference
Upstart's 5th-gen RDU aims to undercut Nvidia's B200 on speed and cost AI infrastructure company SambaNova has raised $350 ...
Machine learning, task automation and robotics are already widely used in business. These and other AI technologies are about to multiply, and we look at how organizations can best take advantage of ...
Nvidia noted that cost per token went from 20 cents on the older Hopper platform to 10 cents on Blackwell. Moving to ...
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