Why it matters
Training a standard LLaMA 3B model with a 3 million token context on a single 8xH100 node fails before you even start: the model parameters alone exhaust GPU memory. Max Ryabinin from Together AI walks through the full stack of techniques needed to get there: fully sharded data parallelism, DeepSpeed Ulysses context pa
My takeaway: Road to 5 Million Tokens: Breaking Barriers in Long Context Training — Max Ryabinin, Together AI is an agent-security signal. The practical read is that autonomy, memory, tool permissions, and third-party integrations are the control surface that needs threat modeling and monitoring.