Lium
Lium provides decentralized GPU compute infrastructure for Bittensor, enabling scalable and cost-effective model training and inference across the network.
About Lium
Lium (TAO Subnet 51) provides decentralized GPU compute infrastructure for Bittensor, enabling scalable and cost-effective model training and inference across the network.
By distributing GPU resources across a global pool of nodes, Lium allows miners and validators to access on-demand compute without relying on centralized cloud providers. Its infrastructure supports horizontal scaling and efficient resource allocation, making large-scale AI workloads more accessible within the decentralized ecosystem.
Lium represents the compute backbone of Bittensor.
Strategic Alignment
Desearch (SN22) delivers decentralized real-time search and data intelligence.
Lium (SN51) delivers decentralized GPU compute infrastructure.
AI systems require both compute and data.
Without compute, models cannot train or run inference.
Without fresh data, inference lacks context and relevance.
This partnership bridges the data layer and the compute layer of Bittensor's AI stack, enabling agents and subnets to combine scalable GPU access with live search capabilities.
What This Unlocks
Together, Lium and Desearch enable:
-
AI agents that retrieve real-time data and perform inference in a unified workflow
-
Independent scaling of data retrieval and compute execution
-
Reduced infrastructure friction for training and inference workloads
-
Cost-efficient deployment of compute-heavy AI systems
-
Greater flexibility for subnet-level AI development
Developers can now build systems that integrate live search signals with scalable GPU-backed inference, without stitching together external infrastructure.
Technical Collaboration
Lium provides:
-
On-demand GPU access across a distributed network
-
Cost-efficient decentralized compute
-
Horizontal scaling for inference workloads
-
Support for model training and large-scale execution
Desearch provides:
-
Real-time web and social search
-
Structured JSON outputs
-
Decentralized data access
-
Live information retrieval APIs
The collaboration enables AI pipelines where:
-
Agents retrieve live data via Desearch
-
Models process that data using Lium's GPU network
-
Compute and retrieval scale independently
-
Latency can be reduced through strategic co-location of compute and data resources
This architecture strengthens both performance and decentralization.
Ecosystem Impact
The integration of decentralized compute and decentralized search creates a more complete AI infrastructure layer on Bittensor.
Instead of choosing between data access and compute availability, developers gain both within the same ecosystem.
This partnership:
-
Expands the capability of AI agents
-
Improves cost efficiency for model training and inference
-
Strengthens infrastructure interoperability
-
Reduces reliance on centralized cloud services
Together, SN22 and SN51 contribute to a more robust full-stack decentralized AI environment.
Looking Ahead
The collaboration between Lium and Desearch is ongoing.
Future exploration may include:
-
Optimized pipelines for training search-augmented models
-
Infrastructure-level co-location strategies
-
Shared tooling for inference and retrieval workflows
-
Enhanced performance tuning across compute and search layers
As both subnets evolve, this partnership will continue to strengthen the decentralized AI stack on Bittensor, aligning compute power with real-time intelligence.
