Rust inference engine cortiq 0.8.67 released with native CUDA backend
11/11/2026 — 11/13, 12:16·2 sources (all)·2 reports (all)
Key takeaways
- Developer Oleg Kirichenko has released the Rust inference engine cortiq 0.8.67, adding a native CUDA backend to support the Spark-X2.6-4B mo…
Background & analysis
On 2026-11-11 at 10:49, developer Oleg Kirichenko (community handle: infosave) released cortiq 0.8.67, a Rust inference engine, adding a native CUDA backend. The release supports running Spark-X2.6-4B from a single CMF file, and Spark is the first model the backend runs. According to the author's measurements on an NVIDIA A40, after a 4000-token prompt, the same 4-bit file generated at 111.5 tokens/s on CUDA versus 80.2 tokens/s on the other backend. That is roughly a 39% throughput gain on CUDA in this configuration. The gap is expected to widen on longer prompts, since each new token then has more history to look through. The post notes that cortiq has been working on exactly this problem: making a small model fast on long contexts. To date, however, this is the only public report on the release, so verification on other hardware remains open.
AI-generated from 1 reports · updated 2 days ago
Latest turnAddressing nvcc version conflicts caused by multiple CUDA installations, this guide demonstrates that the active version depends on PATH queue priority. It provides practical troubleshooting tips using where.exe.
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Addressing nvcc version conflicts caused by multiple CUDA installations, this guide demonstrates that the active version depends on PATH queue priority. It provides practical troubleshooting tips using where.exe.
博客园AI score 68
Developer Oleg Kirichenko released cortiq 0.8.67, featuring a native CUDA backend for running Spark-X2.6-4B models. Benchmarks on an NVIDIA A40 show generation speeds reaching 111.5 tokens/s during long-context inference.
DEV Community · AIAI score 54
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