DeepSeek 开源 DeepInfer 推理引擎宣称日处理 155T tokens
Open the event page ↗New at this step ·DeepSeek open-sources DeepInfer inference engine, claims 155T tokens/day at 80% margin
- Reports in replay
- 1
- First-party
- 0
- Sources
- 1
Reports first seen at this step · 1
- Latent Space · Third-partyDeepSeek open-sources DeepInfer inference engine, claims 155T tokens/day at 80% marginOriginal source ↗
Discovery-time replay; the linked graph and evidence share this cutoff. The full overview and activity remain current.
Event developments
1 developments10/21/2026, 2:56:12 PM
DeepSeek open-sources DeepInfer inference engine, claims 155T tokens/day at 80% marginLatent Space
Filtered by first discovery; only representative reports already discovered by this cutoff are shown. Story grouping may have changed later, so this is not a complete historical snapshot.
Impact evidence & leads
Public reports provide reading leads, not proof of a policy action, supply disruption, company loss or market causation.
No verifiable impact leads or comparable market snapshots at this time; missing evidence does not establish no impact or official position.
Keyword leads from currently public reports, not verified policy states or supplier relationships. Copy may have been revised later; time replay is bounded.
Fact stations & layer labels
Every station carries a type label and a source drawer; keywords only decide where a fact is read. No causal arrows are drawn between layers.
- Unclassified fact stationOct 21, 00:00recorded Oct 21, 14:56
DeepSeek DeepInfer开源，单集群155T tokens/day，$38/accelerator-hour
Evidence & revisions · 1 source records
- Subject：
- deepseek
- Action：
- open source DeepInfer inference engine
- Object：
- DeepSeek V4.1 Flash inference framework
- Occurred (fact side)：
- Oct 21, 00:00
- Published (valid side)：
- Oct 21, 14:54
- First seen (known side)：
- Oct 21, 14:56
- (this clock's basis)
Fact stationSingle source · one-sided claimRevisedCopy may have been revised later; time replay is bounded. Layer labels group reading only, not causation between layers.
Relations at this time
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Bounded reconstruction, not an exact snapshot: entity names, relationship text and story grouping may include later revisions. Overview and full source archive below remain current.