The shift from training-focused to inference-focused economics is fundamentally restructuring cloud computing and forcing ...

Inference will take over for training as the primary AI compute moving forward. Broadcom has struck gold with its custom ...

With Broadcom generating just under $64 billion in total revenue in fiscal 2025, the company is set to see explosive growth ...

Microsoft’s new Maia 200 inference accelerator chip enters this overheated market with a new chip that aims to cut the price ...

Inception, the company behind the first commercial diffusion large language models (dLLMs), today announced the launch of ...

One-click deployment of NVIDIA's open-source inference framework across public, private, hybrid, and on-prem environmentsLUXEMBOURG, Feb. 25, 2026 /PRNewswire/ -- Gcore, the global infrastructure ...

These speed gains are substantial. At 256K context lengths, Qwen 3.5 decodes 19 times faster than Qwen3-Max and 7.2 times ...

ByteDance’s Doubao Large Model team yesterday introduced UltraMem, a new architecture designed to address the high memory access issues found during inference in Mixture of Experts (MoE) models.

You train the model once, but you run it every day. Making sure your model has business context and guardrails to guarantee reliability is more valuable than fussing over LLMs. We’re years into the ...

The proposed framework for human performance reliability evaluation consists of three phases. First, data is obtained via subjective worker self-assessments and objective expert evaluations. Second, ...