The AI Acceleration AccelerationCloud
Train, fine-tune-and run inference on AI models blazing fast, at low cost, and at production scale.
Train, fine-tune-and run inference on AI models blazing fast, at low cost, and at production scale.
Build with open-source and specialized multimodal models for chat, images, code, and more. Migrate from closed models with OpenAI-compatible APIs.
Leverage pre-trained models, fine-tune them for your needs, or build custom models from scratch. Whatever your generative AI needs, Looply offers a seamless continuum of AI compute solutions to support your entire journey.
The fastest way to launch AI models:
✔ Serverless or dedicated endpoints
✔ Deploy in enterprise VPC
✔ SOC 2 and HIPAA compliant
Tailored customization for your tasks
✔ Complete model ownership
✔ Fully tune or adapt models
✔ Easy-to-use APIs
Full control for massive AI workloads
✔ Accelerate large model training
✔ GB200, H200, and H100 GPUs
✔ Pricing from $1.75 / hour
Run
models
Train
Models
Powered by the Looply Inference Engine, combining research-driven innovation with deployment flexibility.
Transformer-optimized kernels: our researchers' custom FP8 inference kernels, 75%+ faster than base PyTorch
Quality-preserving quantization: accelerating inference while maintaining accuracy with advances such as
Speculative decoding: faster throughput, powered by novelalgorithms and draft models trained on RedPajamadataset
Turbo: Best performance without losing accuracy
Reference: Full precision, available for 100% accuracy
Lite: Optimized for fast performance at the lowest cost
Dedicated instances: fast, consistent performance, without rate limits, on your own single-tenant NVIDIA GPUs
Serverless API: quickly switch from closed LLMs to models like Llama, using our OpenAI compatible APIs
Built by AI researchers for AI innovators, Looply GPU Clusters are powered by NVIDIA GB200, H200, and H100 GPUs, along with the Looply Kernel Collection — delivering up to 24% faster training operations.
NVIDIA's latest GPUs, like GB200, H200, and H100, for peak AI performance, supporting both training and inference.
The Looply Kernel Collection includes custom CUDA kernels, reducing training times and costs with superior throughput.
InfiniBand and NVLink ensure fast communication between GPUs, eliminating bottlenecks and enabling rapid processing of large datasets.
Deploy 16 to 1000+ GPUs across global locations, with 99.9% uptime SLA.
Looply’s expert team offers consulting for custom model development and scalable training best practices.
Slurm and Kubernetes orchestrate dynamic AI workloads, optimizing training and inference seamlessly.
Our research team is behind breakthrough AI models, datasets, and optimizations.