Batch Inference
by AaaS · open-source · Last verified 2026-03-01
Processes large volumes of LLM inference requests efficiently through batched execution. Implements request queuing, dynamic batching, rate limit management, and result aggregation for high-throughput offline processing workloads.
https://aaas.blog/skill/batch-inference ↗C+
C+—Average
Adoption: BQuality: B+Freshness: B+Citations: C+Engagement: F
Specifications
- License
- MIT
- Pricing
- open-source
- Capabilities
- request-batching, queue-management, rate-limiting, result-aggregation, progress-tracking
- Integrations
- openai, anthropic, langchain, redis
- Use Cases
- dataset-labeling, bulk-classification, content-generation-at-scale, evaluation-runs
- API Available
- No
- Difficulty
- intermediate
- Prerequisites
- Supported Agents
- Tags
- batch, inference, throughput, processing, scale
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
53.1Adoption
60
Quality
78
Freshness
76
Citations
54
Engagement
0