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Ollama has recently attracted the attention of the tech community as a company representative appeared on tbpn to share about its Series B funding round and why open models are moving very quickly toward becoming developers’ default choice. For Vietnamese marketers, this development is not only a story for engineers, but also a signal of how businesses will deploy AI in products, operations, and growth in the near future.
What is notable is that the “open models” trend is no longer just a discussion about technology philosophy. It is directly touching the issues of cost, customization, experimentation speed, and data control — factors that marketing, product, and digital transformation teams in Vietnam all have to consider.
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Key points:
- Ollama said the company has just completed its Series B funding round, showing the appeal of a platform serving the deployment of open AI models.
- The company representative emphasized that open models are quickly becoming developers’ default choice.
- This trend reflects the growing demand for autonomy, flexibility, and control when applying AI.
- For Vietnamese businesses, this is a signal to watch when weighing closed models, open models, and the right AI deployment strategy.
Ollama and the message from the Series B round
According to a post from Ollama’s official account on X, @jmorgan appeared on tbpn this week to discuss the company’s Series B funding round. Although the announcement was very brief, the highlighted point was the story behind Ollama’s growth momentum: rising demand for tools that help developers work with open models more easily.
For the tech community, a company in the AI infrastructure/deployment space raising funding at this stage often suggests the market is placing high value on the “enablement” layer — solutions that help AI move from experimentation to real-world application. This is a market layer marketers should also pay attention to, because it shows AI is moving into product operations, not just content generation or chatbots.
Source: Ollama on X (@ollama), via tbpn.
Why are open models becoming the default choice?
The most notable message from the source is the view that open models are quickly becoming the developer’s “default choice.” Although the post does not go into data or a specific model list, the statement still reflects a clear shift in the technology preferences of the development community.
Open models are often attractive for three reasons: greater customization, easier control in certain deployment environments, and more flexibility for teams when experimenting. In a context where businesses increasingly want to optimize costs and avoid relying entirely on a single vendor, those advantages may lead open models to be considered more often.
For marketers, this means the upcoming AI ecosystem may be far more diverse than a “one platform for everything” model. Each business may choose its own AI structure based on its goals: customer service, content creation, behavioral data analysis, or sales support.
Implications for product and growth strategy
When developers prioritize open models, product teams will tend to ask more about integration capabilities, deployment autonomy, and control over the user experience. This drives demand for middleware tools, model management platforms, and infrastructure solutions that can operate flexibly.
From a growth perspective, this trend also opens up opportunities for businesses to build competitive advantages through experimentation speed. If AI adoption in workflows previously depended heavily on closed platforms, businesses now have more options to design workflows, input data, and personalization layers themselves.
The important point is that this shift does not mean closed models will disappear. Instead, the market may move toward a “multi-model” direction, where businesses choose the right tool for each problem rather than remaining absolutely loyal to one ecosystem.
A perspective for the Vietnamese market
For Vietnamese businesses, the Ollama story shows that AI is entering a more practical stage. Marketing, product, and technology teams are no longer just asking “What can AI do?” — they also have to ask “Which AI is suitable for our data, budget, and operational capabilities?”
In a context where many businesses are testing AI to increase content productivity, automate customer support, or assist sales, open models may be a worthwhile option if the organization needs greater control or wants the flexibility to build around its own needs. However, this decision must go hand in hand with technical capability, risk assessment processes, and clear data policies.
For marketers, this is a good time to work more closely with the technology team to understand how AI is being deployed across the entire conversion funnel. When AI infrastructure changes, customer experience, response speed, and personalization capabilities will change as well.
Original source reference: Ollama’s post on X about @jmorgan’s conversation on tbpn and the view on the open-model trend.
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This article focuses on open models in AI with a perspective for the Vietnamese market.
