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Sieve
Available NowBest for Developers building AI-powered video and audio applications who need specialized pipeline orchestration rather than raw server management.
Sieve is a specialized AI compute cloud designed explicitly for complex video and audio processing. Instead of raw GPUs, Sieve provides an API infrastructure that automates massive asynchronous workflows—like splitting long video files, transcribing audio, applying object detection, and stitching it back together. They manage the heavy orchestration of GPU scaling in the background, allowing developers to build robust media pipelines (like AI video editors or deepfake detectors) in minutes without managing complex FFmpeg or CUDA environments.
Pros & Cons
Pros
- Brilliant abstraction for complex AI video workflows
- Handles all FFmpeg and asynchronous job scheduling natively
- Extremely fast GPU provisioning for media tasks
Cons
- Niche focus means it is not for general LLM hosting
- Platform lock-in for specific media processing pipelines
Ideal Use Cases
AI Video ProcessingAudio TranscriptionMedia Workflows
| GPU Models | A100, T4, Managed Media Pipelines |
| GPU Types | A100, Managed Media Pipelines, t4 |
| Headquarters | San Francisco, CA |
| Founded | 2022 |
| Availability | Available Now |
| Website | sievedata.com ↗ |
$0.05/ hour (starting)—$5.00/ hr (max)
💡 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 →
US East
Starting from
$0.05/hr
Up to $5.00/hr
Frequently Asked Questions
Sieve GPU cloud pricing starts from $0.05/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.
Sieve offers A100, T4, Managed Media Pipelines GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
Sieve operates data centers in US East. 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 Sieve and other matching providers. You'll receive proposals within 24 hours — no commitment required.
Sieve 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.
