
Baseten
Best for Scale-to-zero Inference, Custom Model Serving, Low-Latency APIs

Best for Budget Friendly Training, Llama 3 Finetuning, Consumer GPU access
Massed Compute is built on the philosophy of democratizing AI by providing the absolute lowest prices for raw GPU compute. By focusing heavily on high-end consumer and workstation cards like the RTX A6000 and RTX 4090, they offer incredible value for developers looking to fine-tune open-source models like Llama 3 or run large batches of Stable Diffusion.
If you don’t need enterprise SLAs or complex managed services, Massed Compute gives you direct SSH access to powerful GPUs at a fraction of the cost of traditional cloud providers, making them a favorite in the indie AI hacker community.
| GPU Models | RTX A6000, RTX 3090, RTX 4090 |
| GPU Types | A6000, RTX 3090, RTX 4090 |
| Headquarters | Syracuse, NY, USA |
| Founded | 2023 |
| Availability | Available Now |
| Website | massedcompute.com ↗ |
💡 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 →
Massed Compute GPU cloud pricing starts from $0.25/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.
Massed Compute offers RTX A6000, RTX 3090, RTX 4090 GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
Massed Compute 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 Massed Compute and other matching providers. You'll receive proposals within 24 hours — no commitment required.
Massed Compute 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 Scale-to-zero Inference, Custom Model Serving, Low-Latency APIs

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