Unverified50% confidenceFactExact time
DeepInfer currently supports only offline batch inference, and using it for production serving still requires substantial in-house work; it supports NVIDIA SM100 (such as B200) and Huawei Ascend 950, and recommends at least 64 GPUs for prefill and another 64 for decode.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
11/4/2026
First Seen
Valid until: 2/2/2027
Sources
Related Entities
Related Claims
UnverifiedFull deployment of DeepSeek-V3.2 typically requires a cluster of multiple high-end GPUs (such as NVIDIA A100/H100)78% similarUnverifiedThe open-source version of DeepInfer covers only one model (DeepSeek V4.1 Flash) and two types of hardware (NVIDIA SM100 and Ascend 950), and supports only offline inference; KV Cache storage, PD disaggregation, load balancing, and online serving are all not included.78% similarUnverifiedDeepSeek open-sourced operators and communication components for Huawei Ascend, corresponding one-to-one with the previously released GPU versions.76% similarUnverifiedThere is currently no public information on which hardware DeepInfer supports, whether it is compatible with other models, or how it actually performs compared with mainstream inference frameworks.72% similarUnverifiedThe DeepSeek series models use a permissive open-source license, with small versions able to run on consumer-grade graphics cards and large versions suited to teams with compute; open-source solutions save the ongoing per-token billing but require bearing deployment and operations yourself.71% similar
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