The DSperse architecture from @inference_labs is a great example of solving the right problem. By focusing on prover time and cost, one of the biggest bottlenecks in zkML, and introducing a more efficient verification approach.
The DSperse architecture from @inference_labs is a great example of solving the right problem. By focusing on prover time and cost, one of the biggest bottlenecks in zkML, and introducing a more efficient verification approach.
@inference_labs Building AI models is only part of the equation. Trust, transparency, and verifiability are what determine whether AI can truly scale in production environments.
The DSperse architecture described by @inference_labs is a masterclass in practical system design. They identified the exact bottleneck in zkML, prover time and cost, and solved it with a targeted verification model. This is the kind of innovation that pushes the space forward.
The DSperse architecture described by @inference_labs is a masterclass in practical system design. They identified the exact bottleneck in zkML, prover time and cost, and solved it with a targeted verification model. This is the kind of innovation that pushes the space forward.
Hi everyone, I'm Lunes
I'm thrilled to join the community, and I'm eager to learn more about @inference_labs
I'm excited about the DSperse and other amazing features of inference labs
@inference_labs A community like this is exactly what the AI space needs, more conversations grounded in real products, measurable impact, and verifiable progress, not just hype.