τensorprox

About τensorprox

τensorprox (TAO Subnet 91) provides decentralized proxy and bandwidth infrastructure on the Bittensor network. By leveraging a distributed network of nodes, τensorprox delivers reliable, censorship-resistant proxy services for AI systems and web-based applications.

Its architecture is designed to distribute traffic across independent nodes, reducing single points of failure and improving resilience under high-load conditions. This makes τensorprox a foundational infrastructure layer for applications that require stable, scalable, and distributed access to external data sources.

Strategic Alignment

Desearch (SN22) focuses on real-time, decentralized search and data intelligence. τensorprox focuses on decentralized proxy routing and bandwidth distribution.

Search intelligence and proxy infrastructure are complementary layers of the same stack.

As Desearch scales real-time data retrieval across miners and validators, infrastructure resilience becomes increasingly critical. τensorprox's distributed proxy model aligns directly with Desearch's philosophy: eliminate centralized bottlenecks and build systems that remain stable under pressure.

Both subnets share a common goal — strengthening the decentralized AI stack on Bittensor through interoperable infrastructure rather than isolated solutions.

What This Unlocks

The collaboration expands what's possible across both subnets:

• More resilient real-time search endpoints

• Distributed access routing across decentralized nodes

• Reduced exposure to traffic spikes and endpoint fragility

• Greater scalability for high-throughput workloads

• Stronger foundation for AI agents operating in real time

By combining decentralized search with distributed proxy routing, the partnership reinforces the infrastructure required for scalable, real-world AI systems.

Technical Collaboration

This partnership explores integrating τensorprox's distributed proxy network with Desearch's data ingestion and API endpoints.

Areas of collaboration include:

• Routing search traffic through decentralized proxy layers

• Protecting API infrastructure against DDoS attacks

• Distributing ingestion across nodes instead of relying on centralized endpoints

• Learning traffic patterns through distributed Edge Node experimentation

τensorprox has actively stress-tested its infrastructure under extreme throughput scenarios, including simulations reaching up to 12 million packets per second to evaluate system behavior and resilience.

These experiments align with Desearch's objective: infrastructure that does not fail under high-frequency, high-volume workloads.

Ecosystem Impact

The partnership strengthens Bittensor's infrastructure layer beyond any single subnet.

By combining decentralized search and distributed proxy routing:

• Validators gain more reliable data access

• Miners benefit from improved endpoint stability

• Builders gain stronger infrastructure primitives

• The network reduces reliance on centralized ingestion points

Rather than duplicating infrastructure across subnets, this collaboration promotes interoperability and shared resilience across the ecosystem.

Looking Ahead

This partnership is ongoing.

As both SN22 and SN91 continue to evolve, deeper integrations may include distributed ingestion layers, proxy-assisted scaling for real-time search, and shared experimentation around traffic learning and high-throughput workloads.

The broader vision is clear: a fully decentralized AI stack where search, bandwidth, routing, and intelligence operate as interoperable layers.

By working together, Desearch and τensorprox are reinforcing the infrastructure foundation that next-generation AI agents on Bittensor will depend on.