Christopher Tozzi

1 week ago | lxer.com | Christopher Tozzi

The modern large language models (LLMs) developed by OpenAI are noticeably not open source, despite the company's name. Neither are most of the major LLMs from companies like Google or Anthropic. But there's another key player in the AI ecosystem that has placed a major bet on open source LLMs: Meta, which has committed to open source AI by releasing its Llama models to the public. At least, that's how Meta would like to position its AI strategy.

1 week ago | itprotoday.com | Christopher Tozzi

The modern large language models (LLMs) developed by OpenAI are noticeably not open source, despite the company's name. Neither are most of the major LLMs from companies like Google or Anthropic. But there's another key player in the AI ecosystem that has placed a major bet on open source LLMs: Meta, which has committed to open source AI by releasing its Llama models to the public. At least, that's how Meta would like to position its AI strategy.

1 week ago | datacenterknowledge.com | Christopher Tozzi

For many businesses, the cloud is amazing. Its flexibility, scalability, and reliability make it the obvious way to deploy workloads. But in other cases, businesses that have moved workloads to the cloud — or that deployed everything in the cloud from the start — may find that the cloud doesn't offer the value they hoped for. It may cost more than they expected. It may not provide the necessary level of control. It might wed them to vendor ecosystems to which they don't want to be locked in.

1 week ago | my.idc.com | Christopher Tozzi

target audience: TECH BUYER  Publication date: Jun 2025 - Document type: Tech Buyer Survey Spotlight - Doc  Document number: # US53570625 Content 2 slides Get More When you purchase this document, the purchase price can be applied to the cost of an annual subscription, giving you access to more research for your investment.

1 week ago | itprotoday.com | Christopher Tozzi

For many businesses, the cloud is amazing. Its flexibility, scalability, and reliability make it the obvious way to deploy workloads. But in other cases, businesses that have moved workloads to the cloud — or that deployed everything in the cloud from the start — may find that the cloud doesn't offer the value they hoped for. It may cost more than they expected. It may not provide the necessary level of control. It might wed them to vendor ecosystems to which they don't want to be locked in.