Denvr Dataworks
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Trainy
Available NowBest for AI developers and enterprises needing to rapidly fine-tune large language models without managing DeepSpeed or Kubernetes clusters.
Trainy provides an hyper-optimized managed compute platform dedicated entirely to the fine-tuning of Large Language Models (LLMs). Recognizing that setting up distributed training environments (PyTorch FSDP, DeepSpeed) is incredibly complex, Trainy abstracts the DevOps away. Users simply connect their datasets, select a foundational model (like Llama 3 or Mistral), and Trainy automatically spins up an optimized multi-node H100 or A100 cluster, executes the fine-tuning run flawlessly, and delivers the finalized model weights.
Pros & Cons
Pros
- Eliminates distributed training DevOps entirely
- Highly optimized for Llama, Mistral, and modern open-source LLMs
- Clear, predictable fine-tuning costs
Cons
- Strictly focused on training/fine-tuning, not long-term hosting
- Limited custom low-level CUDA control
Ideal Use Cases
Automated MLOpsLLM Fine-TuningLoRA Training
| GPU Models | H100, A100 (Managed Clusters) |
| GPU Types | A100 (Managed Clusters), H100 |
| Headquarters | San Francisco, CA |
| Founded | 2023 |
| Availability | Available Now |
| Website | trainy.ai ↗ |
$2.50/ hour (starting)—$9.00/ 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 West
US East
Starting from
$2.50/hr
Up to $9.00/hr
Frequently Asked Questions
Trainy GPU cloud pricing starts from $2.50/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.
Trainy offers H100, A100 (Managed Clusters) GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
Trainy operates data centers in US East, US West. 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 Trainy and other matching providers. You'll receive proposals within 24 hours — no commitment required.
Trainy 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.
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