News

Synapse Power Opens Contributor Access To Build The Future Of Decentralized AI Compute
Synapse Power invites global participants to contribute computing power to its GPU network-powering the next phase of AI ...
Semiconductor Engineering2d
LLM Inference: Core Bottlenecks Imposed By Memory, Compute Capacity, Synchronization Overheads (NVIDIA)
Bandwidth, Compute, Synchronization, and Capacity are all you need” was published by NVIDIA. Abstract “This paper presents a ...
Enterprise LLM Spend Reaches $8.4B as Anthropic Overtakes OpenAI, According to New Menlo Ventures Report on LLM Market
Change in Enterprise LLM API Market Share By the end of 2023, OpenAI commanded 50% of the enterprise LLM market, but its early lead has eroded. Today, it captures just 25% of enterprise usage—half of ...
Enfabrica Unveils Industry’s First Ethernet-Based AI Memory Fabric System for Efficient Superscaling of LLM Inference
Enfabrica Corporation, an industry leader in high-performance networking silicon for artificial intelligence (AI) and ...
Electronics3606d
DeepSeek disruption: How China’s AI challenger will reshape the data center
The implications are far reaching. DeepSeek’s breakthrough prompts a complete rethinking of how AI infrastructure is ...
InfoWorld14d
How CodeRabbit brings AI to code reviews
CodeRabbit combines code graph analysis and the power of large language models to identify issues in pull requests and ...
Tech Xplore on MSN23d
Beating the AI bottleneck: Communications innovation could markedly improve AI training process
Artificial intelligence (AI) is infamous for its resource-heavy training, but a new study may have found a solution in a novel communications system, called ZEN, that markedly improves the way large ...