Tenstorrent
AI hardware company building efficient processors for machine learning inference
Tenstorrent
AI hardware company building efficient processors for machine learning inference
Tenstorrent is an AI chip company co-founded by Jim Keller, focused on developing efficient AI processors optimized for both training and inference workloads. Their Wormhole and Grayskull processors use a novel architecture designed for flexibility and performance per watt in AI inference tasks. Tenstorrent also develops open-source hardware and software tools for their ecosystem. AI research labs, enterprises seeking alternatives to NVIDIA GPUs, and organizations focused on efficient AI inference use Tenstorrent hardware as part of their AI infrastructure.
Key Features
- ✓AI processors
- ✓Efficient inference
- ✓Open-source tools
- ✓Custom silicon
- ✓Scalable architecture
Quick Info
- Category
- AI Infrastructure & MLOps
- Pricing
- Paid
More AI Infrastructure & MLOps Tools
Dstack
AI Infrastructure & MLOpsOpen-source cloud-agnostic platform for AI/ML workload orchestration
Tigris Data
AI Infrastructure & MLOpsAI-native object storage with built-in vector search and S3 compatibility
Superlinked
AI Infrastructure & MLOpsVector compute framework that helps ML engineers build retrieval systems by combining multiple data types a…
Qdrant Cloud
AI Infrastructure & MLOpsManaged vector database cloud service offering high-performance similarity search with filtering, payload i…