Neon Tech
GPU CloudServerless InferenceAuto-Scaling

Deploy AI Models
With Unmatched
Performance

Experience ultra-fast, scalable machine learning hosting. Deploy large language models and computer vision applications instantly on high-performance GPUs with zero infrastructure overhead.

3D flowing shapes

Instant Inference APIs

Deploy any open-source or custom ML model behind a robust API in seconds. We handle the load balancing, autoscaling, and GPU provisioning.

Uptime SLA

99.9%100%

Our enterprise-grade infrastructure ensures your AI models are always available with multi-region redundancy and automatic failover.

GPU Cost Savings

40%70%

Save up to 70% on compute costs with our optimized serverless architecture that scales to zero when your models are idle.

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The Infrastructure Behind The Magic

Server roomCircuit boardData matrixServer rackGlobal network

Our Core Features

Neon Tech provides a complete ecosystem for AI builders. From instant inference to auto-scaling serverless GPUs, we handle the infrastructure so you can focus on building amazing products.

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Global Edge Network

Ultra-low latency globally

Available in 32 regions

Auto-scaling APIs

From 0 to 10k requests/sec

Instant scaling

Serverless GPU Cloud

On-demand H100s & A100s

Always in stock

Trusted by AI Teams

See how forward-thinking companies are scaling their machine learning infrastructure with Neon Tech.

Neon Tech's GPU cloud transformed our model training, reducing time from days to hours. The serverless architecture is incredibly cost-effective.
Dr. Sarah Chen
Dr. Sarah Chen
AI Researcher
Deploying our LLMs was seamless. The autoscaling inference APIs handle our peak traffic effortlessly without any manual intervention.
David Rodriguez
David Rodriguez
Lead ML Engineer
The support team is exceptional. They helped us optimize our computer vision models for their A100 instances, saving us thousands.
Emily Watson
Emily Watson
CTO
Neon Tech's GPU cloud transformed our model training, reducing time from days to hours. The serverless architecture is incredibly cost-effective.
Dr. Sarah Chen
Dr. Sarah Chen
AI Researcher
Deploying our LLMs was seamless. The autoscaling inference APIs handle our peak traffic effortlessly without any manual intervention.
David Rodriguez
David Rodriguez
Lead ML Engineer
The support team is exceptional. They helped us optimize our computer vision models for their A100 instances, saving us thousands.
Emily Watson
Emily Watson
CTO

Our Philosophy

"AI infrastructure

should be

invisible

because

great

models

are waiting to

change the world."