DeepSpeed Inference
Microsoft's inference engine with kernel fusion and multi-GPU parallelism for LLMs
DeepSpeed Inference
Microsoft's inference engine with kernel fusion and multi-GPU parallelism for LLMs
DeepSpeed Inference is Microsoft's high-performance inference engine designed to accelerate large language model deployments using kernel fusion, operator fusion, and flexible parallelism strategies across multiple GPUs. It supports inference for transformer models with billions of parameters and provides significant throughput improvements over naive PyTorch inference. ML engineers at enterprises, research labs, and AI companies use DeepSpeed Inference as part of the DeepSpeed ecosystem to maximize the efficiency of their on-premises model deployments.
Key Features
- ✓Kernel fusion
- ✓Multi-GPU parallelism
- ✓Large model support
- ✓Quantization
- ✓Open-source
Quick Info
- Category
- AI Infrastructure
- Pricing
- Free
More AI Infrastructure Tools
Inferless
AI InfrastructureServerless AI model deployment platform with GPU auto-scaling and cold start optimization
Colossal AI
AI InfrastructureOpen-source system for efficient large-scale AI model training and fine-tuning
Neural Magic
AI InfrastructureSoftware-defined AI inference engine that runs LLMs at GPU speed on CPUs
Weaviate Cloud
AI InfrastructureFully managed cloud service for the Weaviate open-source vector database