…getting the right chips, and getting them into data centers where they can start generating revenue. General Compute , a new inference neocloud — a company that rents out AI processing power, specializing in…
…AI editor, Russell Brandom, makes is that a lot of companies are building out data centers, but if given a choice between do they rent them out [or use them to train…
…AI model training — much of the surrounding data orchestration, including preprocessing, KV cache management (the system that stores prior conversation context so a model doesn’t have to reprocess it), and data…
…Its implications are not. Runway co-founder and co-CEO Anastasis Germanidis said training models directly on observational data from the world is the next frontier of AI. The companies that get…
…This isn’t just a transfer of raw data, however. Uber said its aim is to develop the world’s most geographically diverse set of training data specifically geared towards autonomous driving…
…Snowflake has been offering its AI building tool, Cortex AI, for a couple of years now. It’s a tool that makes sense: Snowflake is where much of an enterprise’s data…
…key advantage, allowing it to distill context and training data that would otherwise be unavailable. Asana has struggled on public markets during the AI era, losing more than half its market cap…
Loading the player… Tech companies are racing to build data centers in space, pitching orbital compute as the next frontier for AI infrastructure, even as the technical and economic realities remain far…
…computing power available to train and power its Grok series of AI models. He’s also intent on capitalizing on the demand for AI compute by building data centers in space, which…
…AI labs that deploy their latest models usually spend millions training them and acquiring data. AethexAI found a solution for both. Rather than chasing the largest possible models, it decided that small…