v1.4.1 v0.27.0
high risk
immich-app/immichAug 7, 2026 → Aug 10, 20263 days between releases
What's New
Adds Kimi K3 support, Rust gRPC frontend, and FlashAttention 4 integration alongside PyTorch 2.13 upgrade.
Breaking Changes
- PyTorch 2.13.0 upgrade is a breaking environment change.
- XPU and CPU backends updated to PyTorch 2.13
New Features
- Kimi K3 support with full stack landing including Python and Rust frontends.
- Rust frontend gRPC control plane introduced.
- FlashAttention 4 integration with FP8 KV cache support.
- Model Runner V2 expansion for encoder-only and pooling workloads.
- DeepSeek-V4 performance optimizations including sequence parallelism.
Improvements
- DeepSeek-V4 performance push reduces TTFT and improves kernel efficiency.
- FlashAttention 4 integration adds headdim-256 support.
- JIT warmup infrastructure removes first-request compilation stalls.
- Support for new models including Qwen3.5, K-EXAONE-2.0-750B-A37B, and VaultGemma.
- DeepGEMM support and compressed-tensors quantized checkpoints added.
Bug Fixes
- Removes first-request compilation stalls via JIT warmup infrastructure.
- Fixes performance by skipping empty c128 kernel launches.
- Improves TTFT by skipping unneeded topk/router operations.
- Improves TTFT via workspace reuse optimization.
Upgrade Notes
Requires updating to PyTorch 2.13.0, a breaking environment change. XPU and CPU backends are also updated to this version.
The Two Releases
v1.4.1
v1.4.1
Aug 7, 2026· 3 months ago
A maintenance release focusing on self-hosted administrator tools, including a workspace member reactivation command, and significant security hardening via dependency upgrades.
Full release notesv0.27.0
v0.27.0
Aug 10, 2026· 2 months ago
This release introduces full Kimi K3 support, upgrades to PyTorch 2.13.0, and expands Model Runner V2 capabilities to non-generative workloads while optimizing DeepSeek-V4 performance.
Full release notes