Running AI models can be expensive because GPUs are costly and often not used efficiently. Netra Runtime helps your existing GPUs process more AI workloads, increasing throughput and reducing the infrastructure cost per token.

In Netra benchmarks, Netra Runtime reached 81.33K output tokens per second running Qwen3.6-35B on 8× AMD Instinct MI350X GPUs. In the same tested configuration, base SGLang reached 23.72K tok/s — giving Netra Runtime 3.43× higher throughput.

Yes. Netra Runtime can run directly on your own GPU infrastructure. Your AI models and data stay within your infrastructure while Netra Runtime improves inference performance on the GPUs you already operate.

GSC is Netra Runtime’s exclusive licensing partner. For questions about licensing or deploying Netra Runtime on your own infrastructure, contact us to discuss your requirements.

Netra Runtime is designed for AMD and NVIDIA GPU infrastructure. Current Netra benchmarks include AMD Instinct MI350X and NVIDIA H200 GPUs. Contact us to check support for your specific GPU and model configuration.

Yes. Netra Runtime is designed for organizations that want to run AI models privately while maintaining control over their infrastructure and data. This makes it suitable for enterprise workloads where privacy, security, infrastructure control, or data residency matter.

Netra Cloud lets you use Netra's AI inference technology without managing your own GPUs. You get fully managed AI inference through an OpenAI-compatible API and pay based on token usage.

If you already operate GPU infrastructure, request a demo to evaluate Netra Runtime with your models and workloads. If you want managed AI inference without operating GPUs, start with Netra Cloud.