AI infrastructure
Meta has signed a major deal to purchase millions of Amazon-designed AI CPUs, marking another dramatic shift in the AI chip landscape as hyperscalers diversify beyond Nvidia for inference and training workloads.
SpaceX
SpaceX is reportedly exploring designing its own GPUs to power AI workloads, deepening the Musk empire's vertical integration across xAI, Tesla, and Starlink infrastructure as demand for compute accelerates.
Google Cloud
Google Cloud announced two new TPU AI chips aimed at challenging Nvidia's dominance in AI infrastructure, signaling intensifying competition in the silicon that powers generative video and synthetic media.
AI infrastructure
Greece unveils Faros, a national AI factory to power sovereign compute and research, while officials warn of rising deepfake threats to democracy, media, and public trust across the EU.
LLM Inference
AWS Trainium accelerators combined with speculative decoding offer a remedy for the autoregressive bottleneck in LLM inference, dramatically reducing latency while preserving output quality through draft-and-verify token generation.
LLM Inference
A technical deep dive into how LLMs manage memory during inference, what happens when the KV cache exceeds GPU limits, and the strategies engineers use to keep long-context generation viable.
Mistral AI
French AI startup Mistral has reportedly raised $830M in debt financing to purchase chips for its own AI data center, signaling a major infrastructure push as it competes with OpenAI and other frontier labs.
OpenAI
OpenAI has identified its deep reliance on Microsoft as a key business risk in disclosures ahead of its expected IPO, raising questions about infrastructure independence and the future of AI development.
LLM Inference
A comprehensive survey explores KV cache optimization strategies—from quantization to eviction policies—that make large language model inference faster, cheaper, and more scalable across generative AI applications.
Samsung
Samsung Electronics announces massive $73 billion investment for 2026, targeting leadership in AI semiconductors and high-bandwidth memory essential for generative AI workloads.
AI infrastructure
CoreWeave and Cerebras team up with BCE to build Canada's largest purpose-built AI data center, expanding critical compute infrastructure for AI model training and inference workloads.
AI infrastructure
Master the essentials of deploying AI models for efficient inference. This guide covers local hosting, cloud deployment options, and optimization strategies for production-ready AI systems.