GPU Type

speedAI (At-Memory Compute) GPU Cloud Providers

Compare 1 cloud providers offering speedAI (At-Memory Compute) (varies VRAM). Find real-time pricing, availability, and get matched with verified providers instantly.

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What is the speedAI (At-Memory Compute)?

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.

Primary Use Cases for speedAI (At-Memory Compute)

  • AI training
  • inference
  • and high-performance computing

Pricing Benchmark for speedAI (At-Memory Compute) in 2026

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.

How to Choose a speedAI (At-Memory Compute) Cloud Provider

When evaluating providers for speedAI (At-Memory Compute) GPU cloud, consider:

  • Pricing model: On-demand vs. reserved vs. spot pricing
  • Cluster size: Maximum number of GPUs per node and interconnect bandwidth
  • Storage: NVMe SSD throughput and object storage availability
  • Networking: InfiniBand vs. Ethernet interconnect for distributed training
  • Location: Data residency requirements and latency to your users
  • Support SLA: Response time guarantees and dedicated support options

1 Cloud Providers Offering speedAI (At-Memory Compute)

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Best for Hardware engineers and AI developers optimizing inference for power-constrained or high-throughput edge deployments.

Locations: North America

$1.00/hr
8.7/10
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