Inside almost every datacenter on Earth sits a quiet inefficiency: GPU and CPU capacity that earns nothing between workloads. Manifold Labs’ new Targon Supply Portal (TSP) converts that dormant capacity into revenue by routing it […]
Genomics does not have a data shortage. Sequencing costs have fallen dramatically, biological data is compounding faster than existing pipelines can process it, and more builders have access to genomic information today than at any […]
Decentralized compute have struggled to move beyond cost efficiency into enterprise-grade adoption due to one core limitation, which is trust. Most networks expose workloads to machine operators, making them unsuitable for sensitive data and high-value […]
As artificial intelligence continues to expand into more complex and high-stakes environments, the limitations of traditional infrastructure are becoming increasingly difficult to ignore. AI systems today require more than raw compute power, because they must […]
AI (Artificial Intelligence) no longer suffers from a lack of compute; it suffers from a lack of trustworthy compute. Over the past decade, infrastructure has scaled aggressively to meet the demands of LLM (Large Language […]
Artificial intelligence development is moving faster than ever, but building practical tools that can respond to real world crises remains a challenge. What happens when a data center fails? When a mining operation faces an […]
Training AI models or running large-scale AI applications requires serious computing power, the kind most people and even small companies can’t afford to buy. Usually, you’d rent that power from big cloud providers like Amazon […]
Targon, Bittensor subnet 4, focused on decentralized confidential computing, has inked a strategic alliance with Intel to advance secure AI infrastructure. Developed by Manifold Labs, Targon operates as a permissionless AI cloud platform on the […]
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