DeepSeek has released DeepInfer as open-source software, making public the inference framework it says already runs its production services. At launch, the framework supports DeepSeek-V4.1-Flash.
DeepSeek · Open-source release
DeepSeek opens the inference stack behind its own production services
DeepInfer is now public. At launch it supports one model, DeepSeek-V4.1-Flash. Its speed claims have not yet been independently verified.
1
Model supported at launch (DeepSeek-V4.1-Flash)
0
Independent benchmark results available
0 ms
Scheduling overhead claimed for asynchronous scheduling (unverified)
What the framework covers
Request path, from input to structured output
Async scheduling
Intended to add no delay between steps
→
MoE parallelism
Splits mixture-of-experts work across processors
→
Optimized kernels
Low-level routines tuned for specific hardware operations
→
Controlled output
Deterministic sampling and structured formats
What is announced
Code is published as open-source software
It is the framework DeepSeek says runs its production services
Outside teams can examine and run the same serving layer
Output can be deterministic and format-constrained
What is not yet known
Speed or efficiency versus other frameworks
Licensing terms and repository details
Hardware requirements
Developer reactions from outside the company
What decides its impact
Limited to one model today, DeepInfer's reach depends on what comes next.
Whether DeepSeek extends support to additional models
Whether the open-source project attracts outside contributions
Whether independent tests confirm its efficiency claims
Continue reading The rest of this article is for AI News Blitz readers. Choose an option below to keep reading.
Already purchased? Sign in ✓ Signed in — this article isn’t included in your current plan.Unlocking the full article...