The next generation of inference platforms must evolve to address all three layers. The goal is not only to serve models ...
By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" that solves the latency bottleneck of long-document analysis.
As enterprises seek alternatives to concentrated GPU markets, demonstrations of production-grade performance with diverse ...
Artificial intelligence has many uses in daily life. From personalized shopping suggestions to voice assistants and real-time fraud detection, AI is working behind the scenes to make experiences ...
Researchers at Nvidia have developed a novel approach to train large language models (LLMs) in 4-bit quantized format while maintaining their stability and accuracy at the level of high-precision ...
“I get asked all the time what I think about training versus inference – I'm telling you all to stop talking about training versus inference.” So declared OpenAI VP Peter Hoeschele at Oracle’s AI ...
The largest Cogito v2 671B MoE model is amongst the strongest open models in the world. It matches/exceeds the performance of the latest DeepSeek v3 and DeepSeek R1 models both, and approaches closed ...
OpenAI partners with Cerebras to add 750 MW of low-latency AI compute, aiming to speed up real-time inference and scale ...
Cerebras joins OpenAI in a $10B, three-year pact delivering about 750 megawatts, so ChatGPT answers arrive quicker with fewer ...
The AI hardware landscape is evolving at breakneck speed, and memory technology is at the heart of this transformation. NVIDIA’s recent announcement of Rubin CPX, a new class of GPU purpose-built for ...
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