# May 30, 2025 Product Updates - Documentation

> For the complete documentation index, see [llms.txt](/llms.txt). Markdown is available with `Accept: text/markdown` and `.md` URL variants.

Source: /docs/changelog/26-05-25--30-05-25

# May 30, 2025 Product Updates

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[​](#model-apis-updates)

Model APIs Updates

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[​](#new-features)

New Features

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New Model Available: DeepSeek-R1-0528
Novita now supports the latest high-performance DeepSeek model — [DeepSeek-R1-0528](https://novita.ai/models/llm/deepseek-deepseek-r1-0528).
Released by the DeepSeek team as an open-source model, DeepSeek-R1-0528 features impressive reasoning capabilities, particularly achieving performance comparable to OpenAI’s o1 model in mathematics, coding, and reasoning tasks.
Updated time: May 28, 2025

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[​](#discontinued-features)

Discontinued Features

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Certain LLMs Officially Decommissioned
To continuously improve model performance and enhance user experience, several large language models (LLMs) have now been officially decommissioned. Below is the list of retired models along with their recommended replacements:

Deprecated ModelsDeprecation DateReplacement Modelsjondurbin/airoboros-l2-70b2025-05-28sao10k/l3-70b-euryale-v2.1qwen/qwen3-14b-fp82025-05-28qwen/qwen3-32b-fp8qwen/qwen3-0.6b-fp82025-05-28qwen/qwen3-32b-fp8qwen/qwen3-1.7b-fp82025-05-28qwen/qwen3-32b-fp8meta-llama/llama-3.2-11b-vision-instruct2025-05-28qwen/qwen2.5-vl-72b-instructgoogle/gemma-2-9b-it2025-05-28google/gemma-3-27b-itmeta-llama/llama-3.1-70b-instruct2025-05-28meta-llama/llama-3.3-70b-instructqwen/qwq-32b2025-05-28meta-llama/llama-3.3-70b-instruct

If you encounter any issues during this transition, please don’t hesitate to contact our technical support team.
Updated time: May 28, 2025

##

[​](#gpus-updates)

GPUs Updates

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[​](#new-features-2)

New Features

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New Bare Metal Server Reservation Page Launched
Novita has launched a [bare metal server reservation interface](https://novita.ai/gpu-baremetal) on the official website. Users can now browse available GPU models that support bare metal services, along with detailed configuration information.
Bare metal refers to a computing service that provides direct access to physical servers without a virtualization layer, offering superior performance, greater control, and lower latency. It is ideal for scenarios with high demands on resource isolation and computing power, such as deep learning, AI model training, and large-scale inference.
If you require bare metal resources, you can select your preferred GPU model and complete the reservation online to gain exclusive access to dedicated physical servers.
Updated time: May 30, 2025

Last modified on November 14, 2025