Amazon launched model caching for Amazon SageMaker Inference on HyperPod, a feature that pre-loads model weights and container images onto cluster nodes so inference pods can read from local NVMe stor…
On August 12, 2026, Alibaba's Qwen team released Qwen3.8-2.4T-A95B, the first open-weights Qwen-Max-class model with 2.4 trillion total parameters and 95 billion activated per token, targeting agentic…
Pathway's BDH architecture, trained on Amazon SageMaker HyperPod, outperforms chain-of-thought (CoT) by updating internal memory during inference via a recurrent latent state, avoiding the KV-cache an…
Pathway's brain-inspired BDH (Dragon Hatchling) architecture, which performs reasoning in latent space without chain-of-thought token generation, is being developed on Amazon SageMaker HyperPod to sca…
AWS and NVIDIA detailed how to build a Physical AI model factory using NVIDIA Cosmos 3 on Amazon SageMaker HyperPod, a pipeline that continuously generates synthetic data, post-trains perception and p…
Amazon Web Services (AWS) introduced HyperPod InstantStart, an open source control plane that enables AI agents to drive multi-stage Amazon SageMaker HyperPod operations, including cluster bootstrap, …
Amazon Web Services (AWS) announced new Ray capabilities on Amazon SageMaker HyperPod that integrate Ray with HyperPod's purpose-built infrastructure for foundation model training and serving. Data sc…
Amazon Web Services (AWS) published a technical guide on designing custom reward functions for multi-turn reinforcement learning (RL) with Amazon Nova Forge, emphasizing that the reward function deter…
Amazon Web Services (AWS) introduced a tiered KV cache architecture on Amazon SageMaker HyperPod that extends the cache hierarchy beyond GPU and CPU memory into a shared, distributed NVMe pool using C…
On July 27, 2026, Moonshot AI released Kimi K3, a 2.8 trillion parameter Mixture of Experts (MoE) model, described as the first open-weight system to reach the 3 trillion parameter class. The model ac…
Moonshot AI released Kimi K3, a 2.8 trillion parameter Mixture of Experts (MoE) model, on July 27, 2026, making it the first open-weight system to reach the 3 trillion parameter class. The model requi…
Amazon Web Services announced new capabilities for Amazon SageMaker HyperPod, including inference data capture, direct model deployment from community hubs, NVMe storage for reduced latency, and Route…
Amazon Web Services announced a new multi-turn reinforcement learning infrastructure for Amazon Nova on Amazon SageMaker HyperPod, enabling training of enterprise agents on multi-step workflows. The e…
NVIDIA Isaac Lab on Amazon SageMaker AI now enables robotics teams to train reinforcement learning policies for humanoid robots at scale, using either SageMaker HyperPod for persistent cluster trainin…