…AI developers get bogged down by disconnected tools, siloed data, and inconsistent secure access to LLMs. At the same time, platform teams have to stand up shared AI infrastructure at scale while…
…To be clear, LPUs won't replace Nvidia's GPUs but rather augment them. Speed for decode LLM inference encompasses two stages: the compute-heavy prefill phase in which the prompts are…
…According to Rebellions, the processor is capable of a petaFLOP of dense 16-bit floating point math or double that at FP8. However, unlike the H200, which used a monolithic compute die…
…Salesforce extensions, the Salesforce CLI, and organization metadata are all pre-configured. The default LLM (large language model) in Agentforce Vibes is Claude Sonnet 4.5. It has two modes - plan mode…
…The mundane aspects of LLM interaction – compacting sessions to free up context space, for example – are left to the machines. Anthropic recommends Managed Agents for tasks that require a long time to…
…Virtual desktop infrastructure (VDI) environments where knowledge workers need graphics-capable virtual desktops, development environments where multiple engineers share a server, and inference endpoints where multiple services share GPU memory all fit…
…We're looking carefully at how we integrate more and more insights and capabilities into it, but we really do work with our users and customers to make sure there's a…
…Why the rush? One of the defining characteristics of SRAM-heavy architectures from Groq and its rival Cerebras is that they are very fast when running LLM inferencing workloads, routinely achieving generation…
…it already has very capable on-chip GPUs and the lead in chiplet-based manufacturing . The FOSS folks favor them, too, as AMD's GPU drivers are all open source. They're…
…But there's a more fundamental risk – remaining relevant in the face of increasingly capable competition from China. On Monday, the US-China Economic and Security Review Commission issued a report assessing…