Research note: DeepSeek open-sources DeepInfer, the engine that serves its V4.1 Flash model
How we checked DeepInfer’s release, hardware support and what was left out.
At a glance
From sources to story
How sure we are, fact by fact
- Reported · 4
- Company claim · 1
- Not known · 1
Evidence map
| Fact | Label | 1OUT | 2OUT |
|---|---|---|---|
| DeepSeek open-sourced DeepInfer under Apache 2.0 on 20 October 2026. | Reported | ||
| It supports only DeepSeek-V4.1-Flash for now. | Reported | ||
| It runs on Nvidia SM100 Blackwell GPUs and Huawei Ascend 950 chips. | Reported | ||
| Cache management and load-balancing code were not released. | Reported | ||
| DeepSeek reports a 4% to 7% throughput gain at production load. | Company claim | ||
| Independent performance results. | Not known |
What we set out to check
What DeepInfer includes, its licence, hardware support and what was held back.
What we found
- Both outlets agree on the Apache 2.0 licence, single-model support, hardware and the excluded components.
- SiliconANGLE gives DeepSeek’s performance and revenue figures.
Numbers that differ
None.
Labels we chose and why
- Reported for release details in both outlets.
- Claim for DeepSeek’s performance figures.
What we could not verify
- The GitHub README directly.
Can you help confirm one of these? Send us a source. When we find an answer, we update this note and the story, with the date.
How we could improve this
Read the repository README and licence file directly, and add official confirmation of supported hardware. We would also look for independent benchmarks from the vLLM or SGLang communities, and check whether DeepSeek publishes a roadmap for the components it kept private, such as cache management and load balancing.
Research timeline
- Research22 Oct 2026
- Research note published22 Oct 2026, 20:09 IST
- Story published22 Oct 2026, 20:19 IST
What we searched
- DeepSeek DeepInfer open source inference framework
Every source we read
| Source | Used? | Why |
|---|---|---|
| SiliconANGLE Archived copy | USED | Components, hardware, figures. |
| TNW Archived copy | USED | Origins, exclusions, context. |
| DeepSeek on X | NOT USED | Could not open. |