Distributed Inference
by AaaS · open-source · Last verified 2026-03-01
Runs large language model inference across multiple GPUs or nodes using tensor parallelism, pipeline parallelism, or expert parallelism. Covers distributed serving frameworks, inter-node communication, load balancing, and fault tolerance for enterprise-scale deployments.
https://aaas.blog/skill/distributed-inference ↗C
C—Below Average
Adoption: CQuality: AFreshness: ACitations: CEngagement: F
Specifications
- License
- MIT
- Pricing
- open-source
- Capabilities
- tensor-parallelism, pipeline-parallelism, load-balancing, fault-tolerance, multi-node-coordination
- Integrations
- vllm, deepspeed, ray, kubernetes
- Use Cases
- large-model-serving, high-throughput-inference, multi-tenant-serving, enterprise-deployment
- API Available
- No
- Difficulty
- advanced
- Prerequisites
- model-serving
- Supported Agents
- Tags
- distributed, inference, multi-gpu, parallelism, scale
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
45.2Adoption
42
Quality
82
Freshness
86
Citations
48
Engagement
0