On 10 April 2026, Covenant AI -at the time the biggest TAO Subnet – exited Bittensor and TAO reacted fast. The token sharply dropped 20% to 25% and importantly, the network lost a key operator behind several subnets, including SN3.
That raises a simple question. If one of the main builders steps away, which subnets are actually doing the work now?
The Top 5 Best Bittensor Subnets Worth Staking Right Now
After the Covenant exit, it helps to think of Bittensor as a stack of services. Some subnets handle inference, others focus on enterprise compute, GPU supply, or storage.
Each subnet below represents one part of that system. The comparison looks at usage, revenue signals, Alpha token liquidity, and adoption.
| Subnet Name | Subnet ID | Emissions Share* | Key Metric | Alpha Token |
| Chutes | SN64 | High (top-tier subnet by emissions in recent snapshots) | 400K+ users, 9T+ tokens processed | CHUTES α |
| Targon | SN4 | Medium (consistently active emissions share) | ~$10.4M projected revenue | TARGON α |
| Templar | SN3 | Declining (post-Covenant redistribution) | 72B model, uncertain operator | TEMPLAR α |
| Lium | SN51 | Medium–low (growing compute subnet) | H100 GPU marketplace | LIUM α |
| Hippius | SN75 | Low (early-stage storage layer) | ~$4.48M reported PnL | HIPPIUS α |
*Emissions share reflects the portion of TAO distributed to each subnet and changes continuously based on validator weights and network activity. Current rankings are based on recent network snapshots and may shift over time.
Taken together, these five subnets map the main layers of Bittensor: inference, enterprise compute, training, GPU supply, and storage.
Chutes (SN64) — Rayon Labs’ Serverless Inference Engine
Chutes sits at the top of most dTAO subnets ranked lists because it shows real user demand. The subnet has processed over 9 trillion tokens and attracted over 400,000 users, making it the clearest example of real demand within TAO subnets.
That demand shows up in pricing power. Chutes claims an inference cost roughly 85% lower than that of cloud computing service AWS, which explains why developers treat it as a viable alternative rather than an experiment.
The token design reinforces that usage. Chutes uses an auto-staking buyback mechanism, so activity feeds directly into Alpha token demand. At the time of writing, it trades with an Alpha of around 0.087 τ, and its reserve ratio closely tracks its liquidity pool. That tight ratio suggests the subnet is not inflating supply without backing.
Rayon Labs also controls a share of emissions through its validator “trio,” which gives Chutes consistent exposure to new TAO issuance. So when you look at Bittensor SN64, SN3, and SN4, SN64 stands out as the most economically complete system.
Targon (SN4) — Manifold Labs’ Enterprise Compute Hub
Targon focuses on enterprise-grade AI compute, which gives it a clearer revenue story than most TAO subnets.
The numbers support this positioning. Targon projects annual revenue of around $10.4 million, and its ecosystem app, Dippy, reportedly serves over four million users. That combination gives it one of the strongest commercial signals among the best Bittensor subnets 2026 candidates.
It also builds credibility through external validation. Manifold Labs raised a $10.5 million in Series A funding and joined the NVIDIA Inception program, both of which signal technical and investor trust. For enterprise buyers, Targon offers verifiable compute and confidential AI execution, often framed as a cheaper and more transparent alternative to Azure or AWS.
Liquidity also matters here. Targon’s Alpha token sits around 0.062 τ with a healthy TAO reserve backing it, although liquidity remains mostly within subnet pools rather than large exchanges. That means it is usable but not yet deeply liquid.
If Chutes wins on usage, Targon wins on structure. It looks more like a business than an experiment, which is why it consistently ranks high in dTAO subnets ranked discussions.
Templar (SN3) — The Post-Covenant Question Mark
Templar used to define what Bittensor could achieve. Covenant AI trained a 72-billion-parameter model on SN3 with more than 70 contributors, which made it one of the largest decentralized training efforts to date. Then Covenant left.
That exit matters because Covenant operated SN3 alongside SN39 and SN81. Without that anchor, Templar now finds itself in an uncertain position in Bittensor SN64, SN3, and SN4 comparisons.
Current data still shows SN3 active at the token level, with a live Alpha market and liquidity pool. However, no clearly confirmed successor operator has taken Covenant’s place. That leaves a gap between infrastructure and leadership.
Lium (SN51) — The Sovereign GPU Marketplace
Lium fills a gap that centralized clouds struggle with: flexible, short-term GPU access. Instead of long-term contracts, it lets you tap into distributed compute when you need it, making it attractive for startups running experiments or burst workloads.
The hardware layer drives that appeal. Lium positions itself around NVIDIA H100 and A100 GPUs, and some ecosystem reports indicate hundreds of H100 units available through the network. It also uses a “Proof of Compute” model, which verifies that machines actually deliver the performance they claim.
That combination makes Lium feel closer to a decentralized AWS marketplace than a single-purpose subnet. You get flexibility, potentially lower cost, and no long-term lock-in.
However, there is a tradeoff. Running infrastructure on SN51 has a higher barrier to entry for miners because it requires access to high-end hardware. So while demand can grow quickly, supply grows more slowly.
Even so, Lium consistently appears in dTAO subnets ranked lists because it solves a clear real-world problem: access to expensive compute without centralized gatekeepers.
Hippius (SN75) — Bittensor’s Decentralized Storage Layer
Hippius approaches the network from another angle entirely. Instead of compute, it focuses on storage, effectively positioning itself as Bittensor’s answer to AWS S3.
That positioning works because it connects directly to real revenue. Reports suggest Hippius has generated around $4.48 million in PnL, which makes it one of the few TAO subnets with a clear profitability signal, based on publicly tracked subnet data from TaoStats.
The product also supports that narrative. Hippius offers S3-compatible object storage alongside IPFS-based infrastructure, which means developers can integrate it without rebuilding their stack. That simplicity matters if adoption is going to scale.
Its Alpha tokens trade at 0.026 τ with a modest but expanding liquidity base and growing validator backing. Beyond its standalone metrics, Hippius gains utility through cross-subnet synergy with inference layers like SN64. For those eyeing Bittensor Alpha tokens, it is the purest play on storage demand over compute.
What the Covenant Exit Actually Changes for TAO Holders
Covenant’s departure changed how emissions and attention move across TAO subnets.
Before the exit, it ran SN3, SN39, and SN81, shaping training infrastructure. When it stepped away, emissions didn’t disappear. They shifted toward active subnets like SN64 and SN4.
That helps explain why usage-driven subnets now lead dTAO rankings. The network is moving toward services people actually use, with activity already concentrating in a smaller set of subnets.
The outlook isn’t entirely negative. Steeves’ Locked Stake recovery plan targets affected participants, while Grayscale’s TAO ETF filing remains active.
For the best Bittensor subnets of 2026, the focus is now on usage, liquidity, and whether a model can hold up without a dominant operator.
