Version: v0.20.x

Release notes

Version 0.20.2 (July 9th, 2026)

[Model Zoo] New batch inference API — submit batch jobs asynchronously, poll or cancel them, and stream progress or receive a webhook callback on completion. Batch jobs are priority-queued so they can't starve interactive traffic, with native batched support for vLLM, chat, NER, PII masking, the Danube3 classifier, and BART.
[Platform] Storage bucket names are now configurable via environment variables.

[UI] Fixed a dropdown selection issue affecting components using multi-select.
[Training] Fixed a training failure that occurred when input CSV files used CRLF line endings.
[Platform] Resolved a dependency conflict that could block installation.

Fixed server-side request forgery (SSRF) findings in frontend server actions and API routes.

[Data Generation] You can now choose the output dataset's problem type when generating data.
[Platform] Further upgraded the core ML stack: PyTorch 2.11, vLLM 0.22.1, and CUDA 13 / cuDNN 9 base images. This raises the minimum required NVIDIA driver version.
[Model Zoo] Added per-model request queueing with backpressure, along with cache and queue status visibility via the health and status endpoints.

[Model Zoo] Fixed a crash during FLUX model inference caused by a dtype mismatch.

This release adds reinforcement learning training, a model cache for faster repeat inference, and upgrades the core ML stack.

[Experiments] Training with reinforcement learning (RL) and LLM reward.
[Experiments] You can now select which columns to include or exclude for tabular problems, with automatic column suggestions.
[Platform] LRU model cache with a configurable VRAM budget, speeding up repeat inference.
[Platform] Core ML stack upgraded to Transformers v5, vLLM 0.19.1, and PyTorch 2.10, with a CUDA 12.8 toolchain across all services.
[Platform] Tabh2o moved to a dedicated on-prem HTTP service, improving air-gapped support.
[Platform] Improved Content Security Policy (CSP) headers.

[Datasets] Numerical columns are no longer misclassified as categorical during tabular data loading.
[Datasets] Fixed an issue that prevented new dataset uploads.
[Projects] Fixed an issue where renaming a project didn't work correctly.
[UI] Fixed a theme flicker and a hydration mismatch that could occur on page load.
[Platform] Worker components can now access the HF_TOKEN secret for gated Hugging Face model downloads.
[Platform] Swagger UI assets are now self-hosted, with HTTPS-aware security headers behind TLS-terminating ingresses.
[Platform] Fixed Model Zoo pod startup and Docker build failures.
[Platform] Fresh-namespace installs no longer show a temporary login error while the UI finishes starting up.

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