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NVIDIA GTC, Airflow VS. Prefect, Modern LLMs via DeepSeek

Author

Ravit Jain
March 09, 2025

In partnership with

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Airflow VS. Prefect

Airflow has been great, but its rigid DAGs and operational headaches make scaling tough. Prefect changes that—dynamic workflows, better observability, and no Celery/K8s Executor pain.

  • No more static DAGs—flexibility wins.

  • Python-first, event-driven orchestration.

  • Easier to scale without the usual bottlenecks.

  • Convert DAGs to Prefect flows.

  • Replace Airflow Operators with Prefect tasks.

  • Move seamlessly, no downtime.

What do you think?

What if I told you there’s an entire ecosystem of LLMs evolving beyond just text generation?

DeepSeek is building a suite of models that go beyond standard LLMs—covering coding, vision, math, and theorem proving, all while scaling efficiently with mixture-of-experts (MOE) architectures.


This visual breaks it down:

-- DeepSeek LLM follows Llama 2 scaling laws
-- DeepSeek MOE uses expert models for efficiency
-- DeepSeek VL integrates vision capabilities
-- DeepSeek Math and DeepSeek Prover focus on reasoning, policy optimization, and synthetic data
-- DeepSeek V2 brings it all together with multi-latent attention and longer context

With advancements in alignment, multimodal learning, and GPT-4-level performance, DeepSeek is shaping the next phase of AI development.

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Best,

Ravit Jain

Founder & Host of The Ravit Show