Blogsby GlyphAgentic AI
Agentic AI enables autonomous systems to reason, plan, and act toward goals, driving demand for high-performance AI memory, connectivity, and security.
7 of 800 posts
Tue Oct 275 posts
AI Infrastructure
AI infrastructure combines compute, memory, connectivity, storage, and security technologies that enable AI training, inference, and agentic AI at scale.
AI Data Movement
AI data movement is the transfer of data across memory, processors, accelerators, and networks that enables high-performance AI training, inference, and agentic AI workloads.
AI Inference
AI inference is the process of using a trained AI model to generate predictions and responses, requiring efficient memory, connectivity, and data movement.
AI Memory
AI memory comprises the technologies that store and move AI data, enabling faster training, lower inference latency, and scalable AI infrastructure.
Mon Oct 261 post
Rambus Reports Third Quarter 2026 Financial Results
Record quarterly revenue of $218.3 million, up 22% year over year, exceeding guidance range GAAP diluted earnings per share of $0.69 and non-GAAP diluted earnings per share of $0.84, exceeding guidance range Record product revenue of...
Thu Oct 221 post
Rambus and ChipAgents Collaborate to Accelerate Chip Design with Agentic AI
SAN JOSE and SANTA CLARA, Calif., Oct. 21, 2026, Rambus Inc. (NASDAQ: RMBS), a provider of industry-leading chips and silicon IP making data faster and safer, and ChipAgents, a leader in agentic AI platforms for chip design, today...