
PrimeIntellect
Best for Developers wanting the cheap prices of decentralized networks without the complex setup.

Best for Hardware engineers and AI developers optimizing inference for power-constrained or high-throughput edge deployments.
Untether AI designs ultra-efficient, at-memory compute architectures specifically built for AI inference. By placing compute directly adjacent to memory, their hardware drastically reduces the power consumption and latency associated with moving data around traditional chips. While primarily a hardware provider for the edge and enterprise data centers, they provide cloud access to their speedAI devices for developers to port and test their models. This platform is critical for companies looking to deploy high-throughput AI in power-constrained environments.
| GPU Models | speedAI (At-Memory Compute) |
| GPU Types | speedAI (At-Memory Compute) |
| Headquarters | Toronto, Canada |
| Founded | 2018 |
| Availability | Waitlist |
| Website | untether.ai ↗ |
💡 Pricing note: Rates shown are indicative. Final pricing depends on GPU model, reservation type (spot vs. on-demand), contract length, and region. Get an exact quote →
Untether AI GPU cloud pricing starts from $1.00/hr depending on GPU type, reservation model (on-demand vs. spot vs. reserved), and region. Use the quote form to get exact pricing for your specific workload.
Untether AI offers speedAI (At-Memory Compute) GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
Untether AI operates data centers in North America. Choosing a region close to your users minimises latency and can help with data residency compliance requirements.
Use the "Get a Quote" button on this page to submit your GPU requirements. ComputeStacker will forward your request to Untether AI and other matching providers. You'll receive proposals within 24 hours — no commitment required.
Untether AI offers high-performance GPU infrastructure suitable for large language model training and fine-tuning workloads. For large-scale distributed training, check the Specs tab for NVLink and InfiniBand interconnect availability.

Best for Developers wanting the cheap prices of decentralized networks without the complex setup.

Best for AI Researchers, Students, Fast Prototyping, Stable Diffusion

Best for European Startups, Eco-friendly Compute, Cost-effective Training