Snap
Serve
Instant Access to Finetuned LLM Models Running on Limitless Inference Hardware
Lowest Cost Finetuned Model Hosting
Need to serve tens—or even thousands—of finetuned models? Snap-Serve Pro is built for that. Designed for super-scale LLM deployments with unmatched efficiency, it removes the traditional limits of inference infrastructure where every deployed model requires a GPU instance.
Snap-Serve Pro is launching soon for enterprises and developers.
Positron and Parasail are partnering to accelerate enterprise AI adoption by bridging Positron's industry-leading transformer inference technology and Parasail's advanced infrastructure management capabilities. Discover how you can securely deploy your fine-tuned models for as little as a dollar per day with our novel, intuitive platform.
About Positron
Positron delivers the most power and cost efficient LLM inference hardware. By taking a completely fresh design approach, Positron has eliminated all the memory and processing bottlenecks found in GPU-based systems. Service providers and enterprises that adopt Positron are finding new levels of efficiency by leveraging Positron's ability to serve LLMs with 20-50x more instantly accessible density than GPU systems. As the use of AI exponentially grows into agentic and increasingly fine-grained personalized use cases, Positron's hardware delivers a superior growth and monetization trajectory for its customers and partners.
About Parasail
Parasail's AI Deployment Network gives AI companies fast, scalable, and cost-efficient access to compute and the latest cutting-edge AI models. Offering the industry's largest on-demand GPU pool, Parasail instantly scales from zero to enterprise-level workloads, ensuring guaranteed availability. Teams migrating from proprietary models to Parasail reduce costs by 15-30x with an additional 2-5x cost advantage over other open-source providers through intelligent workload orchestration. Trusted by AI startups and enterprises alike, Parasail delivers unmatched flexibility, control, and performance.