The Flawed Environmental Case Against Data Centers
Our animosity toward data centers is really more about our anxieties about A.I.
The Flawed Environmental Case Against Data Centers Read More »
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Our animosity toward data centers is really more about our anxieties about A.I.
The Flawed Environmental Case Against Data Centers Read More »
The architecture distinction is visible before the protocol details begin. A2A operates horizontally between independently operated agents. MCP operates vertically between an AI application or agent and the tools, data, prompts, and enterprise capabilities it consumes. That difference is the foundation for the entire protocol decision. Enterprise AI teams are increasingly asking whether they should
MCP vs A2A in 2026: Which Protocol Does Your AI Architecture Actually Need? Read More »
TL;DR An expected workload count is not a GPU requirement. Thirty concurrent notebooks, RAG services, inference endpoints, fine-tuning jobs, or distributed training runs can create radically different demands for GPU memory, accelerator time, CPU, system memory, storage throughput, metadata operations, network bandwidth, scheduling policy, and failure reserve. Capacity planning should begin by defining workload service
How Many AI Workloads Can My GPU Platform Really Support? Read More »
TL;DR The NVIDIA RAG Blueprint is not one application pod. It is a coordinated retrieval platform that combines an ingestion service, a RAG server, NVIDIA NIM microservices, NV-Ingest, a vector database, object storage, model caches, and supporting Kubernetes operators. For the current 2.6.0 release, Elasticsearch is the default vector database and SeaweedFS is the default
How to Deploy the NVIDIA RAG Blueprint on Kubernetes with Helm Read More »
TL;DR A multivendor private AI platform is not operationally complete when the hardware is installed, the GPUs are visible, and the first model endpoint responds. It is complete when the organization knows who performs the first diagnostic action when any part of the stack fails. The customer should retain one accountable service owner and one
Who Owns the Failure? Building a Support RACI for a Multivendor Private AI Platform Read More »
The industry is courting theologians and philosophers. But it is asking them the wrong questions
Today, Anthropic rolled out Opus 5, the newest update for the model that has recently become a popular choice for coding and other software development tasks, among other things. While this is a noteworthy bump for Opus, it doesn’t seem to be an Opus 4.5-level breakthrough in agentic coding performance. Read full article Comments
Anthropic’s Opus 5 is about token efficiency, not a capability leap Read More »
Anyone who has used the Internet in recent years is probably used to encountering telltale signs of LLM prompting that lazy users sometimes forget to remove from their AI-generated pabulum. But a Canadian legislator took that idea to an embarrassing new level this week, reading an apparent LLM prompt instruction into the record during a
Canadian legislator reads out apparent LLM response in floor speech Read More »
Investment spree is reshaping Silicon Valley while wider US jobs market holds steady
US tech groups cut 140,000 jobs despite AI spending boom Read More »
Want to keep track of the largest startup funding deals in 2026 with our curated list of $100 million-plus venture deals to U.S.-based companies? Check out The Crunchbase Megadeals Board. This is a weekly feature that runs down the week’s top 10 announced funding rounds in the U.S. Check out last week’s biggest funding deal