The increase in cost of GPUs and AI is hitting an all-time high, so much so that it's hard to even get GPU usage approved within a public cloud environment.
The MCP protocol can now be stateful or stateless, ingest only one tool to the Agent, call API endpoints, and use functions/methods in a codebase as tools. The one concern still, however,
Without proper controls for how many times an Agent/LLM can hit an MCP Server, you open yourself up to potential DOS attacks, memory hogging, insane API bills, and server/system overload. Luckily,
Three times over the past month, the industry has seen Agents break out of sandboxes. It happened with OpenAI, Anthropic, and Meta Models. Despite them being "in a sandbox", there was
In the majority of conversations around ML workflows, the same four problems come up:
1. Long-running jobs that die halfway through and need to be restarted from scratch
2. DAGs that can’
