
Untether AI
WaitlistBest for Hardware engineers and AI developers optimizing inference for power-constrained or high-throughput edge deployments.
Locations: North America
Compare 1 cloud providers offering speedAI (At-Memory Compute) (varies VRAM). Find real-time pricing, availability, and get matched with verified providers instantly.
speedAI (At-Memory Compute) is a high-performance GPU available from multiple cloud providers. It offers strong capabilities for a wide range of AI and HPC workloads.
The spot market for speedAI (At-Memory Compute) cloud compute varies widely by provider. On-demand pricing typically ranges from $1.50–$5/hr per GPU for single-instance access. For larger multi-GPU clusters (8x, 16x, or 64x GPU nodes), enterprise pricing with SLAs is negotiated directly with providers. Reserved capacity offers 30–60% discounts vs. on-demand pricing.
When evaluating providers for speedAI (At-Memory Compute) GPU cloud, consider:

Best for Hardware engineers and AI developers optimizing inference for power-constrained or high-throughput edge deployments.
Locations: North America
speedAI (At-Memory Compute) is commonly used for: AI training, inference, and high-performance computing. Its varies of VRAM makes it suitable for running large models that don't fit in smaller GPU memory.
speedAI (At-Memory Compute) cloud pricing varies by provider and region, but typically ranges from $1.50/hr to $8/hr for single-GPU instances. Multi-GPU cluster pricing scales proportionally. Use the filters above to compare current market rates.
ComputeStacker currently lists 1 providers offering speedAI (At-Memory Compute) GPU cloud access. These include a mix of hyperscalers, specialist AI cloud providers, and bare-metal GPU hosting services.
Yes — most providers on ComputeStacker offer on-demand hourly pricing for speedAI (At-Memory Compute) instances. Reserved and spot pricing options are also available from many providers, offering discounts of 30–70% for committed usage.