A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

Decentralized GPU networks are pitching themselves as a lower-cost layer for running AI workloads, while training the latest ...

A new generation of decentralized AI networks is moving from theory to production. These networks connect GPUs of all kinds ...

What if you could train massive machine learning models in half the time without compromising performance? For researchers and developers tackling the ever-growing complexity of AI, this isn’t just a ...

Agnik International, a leading data science company with market-leading analytic products, today announced that they are developing a new distributed machine learning architecture based on decades of ...

Big Tech is spending hundreds of billions on AI infrastructure. Here are the 10 largest AI data centers in the US, so you can ...

Secure your MCP deployments with zero-trust architecture. Learn about post-quantum encryption, context-aware access, and threat detection for distributed AI.

The conversational prowess of AI chatbots like ChatGPT, Gemini, and Claude appears to stem from sophisticated algorithms alone, but this apparent autonomy masks a critical dependency: after these AI ...

Artificial intelligence is entering a new era driven by larger models and more demanding workloads. The Supermicro B300 AI Server with NVIDIA Blackwell HGX B300 NVL8 delivers the performance and ...

OpenAI researchers have introduced a novel method that acts as a "truth serum" for large language models (LLMs), compelling them to self-report their own misbehavior, hallucinations and policy ...

OpenAI trained GPT-5 Thinking to confess to misbehavior. It's an early study, but it could lead to more trustworthy LLMs. Models will often hallucinate or cheat due to mixed objectives. OpenAI is ...