AMD Launches Ryzen AI Halo Developer Platform with 192GB Unified Memory
AMD introduces the Ryzen AI Halo developer platform powered by Ryzen AI Max+ PRO 495 processor, supporting up to 192GB unified memory and 300-billion-parameter models.
AMD Launches Ryzen AI Halo Developer Platform With 192GB Unified Memory
AMD introduced the Ryzen AI Halo Developer Platform on October 12, 2026, powered by the Ryzen AI Max+ PRO 495 processor, featuring up to 192GB unified memory and support for 300-billion-parameter models.
Anthropic Drops Long-Context Premium as Claude 4.6 Models Hit 1M Tokens
Claude Opus 4.6 and Sonnet 4.6 now offer full 1M token context windows at standard API pricing, eliminating the long-context premium entirely.
Anthropic Discovers 'Assistant Axis' to Prevent AI Jailbreaks and Persona Drift
Anthropic researchers map neural 'persona space' in LLMs, finding a key axis that controls AI character stability and blocks harmful behavior patterns.
Optimizing Large Language Models with NVIDIA's TensorRT: Pruning and Distillation Explained
Explore how NVIDIA's TensorRT Model Optimizer utilizes pruning and distillation to enhance large language models, making them more efficient and cost-effective.
NVIDIA Enhances Local LLM Experience on RTX PCs with New Tools and Updates
NVIDIA introduces optimizations for running large language models locally on RTX PCs with tools like Ollama and LM Studio, enhancing AI applications' performance and privacy.
NVIDIA Launches Secure AI General Availability with Enhanced Protection for Large Language Models
NVIDIA announces the general availability of its Secure AI solution, focusing on protecting large language models with enhanced security features.
NVIDIA's AI Sales Assistant: Insights and Innovations
Explore the development and key learnings from NVIDIA's AI sales assistant, leveraging large language models and retrieval-augmented generation to streamline sales workflows.
NVIDIA Enhances TensorRT-LLM with KV Cache Optimization Features
NVIDIA introduces new KV cache optimizations in TensorRT-LLM, enhancing performance and efficiency for large language models on GPUs by managing memory and computational resources.
Enhancing Large Language Models with NVIDIA Triton and TensorRT-LLM on Kubernetes
Explore NVIDIA's methodology for optimizing large language models using Triton and TensorRT-LLM, while deploying and scaling these models efficiently in a Kubernetes environment.