Brendan McKeag

Slurm on Runpod Clusters makes it simple to scale distributed AI and scientific computing across multiple GPU nodes. With pre-configured setup, advanced.

DeepSeek V3.1 introduces a breakthrough hybrid reasoning architecture that dynamically toggles between fast inference and deep chain-of-thought logic.

Deploy Wan 2.2 on Runpod to unlock next-gen video generation with Mixture-of-Experts architecture, TI2V-5B support, and 83% more training data, run.

Deploy DeepCogito's Cogito v2 models on Runpod to experience frontier-level reasoning at lower inference costs, choose from 70B to 671B parameter variants.

Run MoonshotAI's Kimi-K2-Instruct on Runpod Clusters using H200 SXM GPUs and a 2TB shared network volume for seamless multi-node training. This guide.

Benchmark Qwen2.5-Coder-7B-Instruct across NVIDIA's B200, RTX 5090, and 4090 to identify optimal GPUs for LLM inference, compare token throughput, cost.

As prompt complexity increases, large language models (LLMs) hit a "cognitive wall," suffering performance drops due to task interference and.