DataStax
AvailableBest for Global enterprises building massive, high-throughput generative AI applications that require highly resilient, distributed vector database compute.
Locations: Global (Multi-Cloud)
$25.00/hr
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Distributed Vector Compute GPU Cloud Providers
Compare 1 cloud providers offering Distributed Vector Compute (varies VRAM). Find real-time pricing, availability, and get matched with verified providers instantly.
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FP16 Performancevaries
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Providers Listed1+
What is the Distributed Vector Compute?
Distributed Vector 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 Distributed Vector Compute
- AI training
- inference
- and high-performance computing
Pricing Benchmark for Distributed Vector Compute in 2026
The spot market for Distributed Vector 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 Distributed Vector Compute Cloud Provider
When evaluating providers for Distributed Vector 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 Distributed Vector Compute
Frequently Asked Questions
Distributed Vector 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.
Distributed Vector 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 Distributed Vector 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 Distributed Vector Compute instances. Reserved and spot pricing options are also available from many providers, offering discounts of 30–70% for committed usage.