ZC · INFERENCE

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by Ryan Lindsey · 2026-08-30

In multi-tenant environments, noisy neighbor issues can significantly impact the performance of your applications, particularly in terms of latency. Dedicated hardware, such as the NVIDIA GB10 silicon used in ZC Inference Exchange, provides a solution to these problems by ensuring that your workload is isolated from others. This isolation is critical for maintaining consistent performance, especially for those concerned with the p99 latency, which is often more indicative of user experience than average latency.

The Problem with Multi-Tenant Latency

Multi-tenant environments share resources among multiple users or applications. While this model can be cost-effective, it introduces the risk of 'noisy neighbors'—workloads that consume a disproportionate amount of resources, leading to increased latency for others. This variability can be particularly problematic for applications that require consistent performance, such as real-time analytics or interactive services.

The Advantage of Dedicated GB10 Hardware

Dedicated hardware, like the NVIDIA GB10 silicon used in ZC Inference Exchange, eliminates the noisy neighbor problem by providing a private environment for your workloads. This hardware isolation ensures that your application's performance is not affected by the actions of other users or applications. By choosing ZC Inference Exchange, you can achieve a more predictable and consistent performance, which is crucial for maintaining high-quality user experiences.

Why p99 Latency Matters

While average latency can give you a general idea of performance, it does not account for the worst-case scenarios that users are most likely to notice. p99 latency, on the other hand, represents the latency experienced by the slowest 1% of requests. This metric is more indicative of the user experience, as it captures the impact of outliers, which are often the result of noisy neighbors in multi-tenant environments.

ZC Inference Exchange Pricing

ZC Inference Exchange offers three pricing tiers that provide access to the Qwen 2.5 models on dedicated GB10 hardware:

These prices are significantly lower than those of competitors like Anthropic and OpenAI, offering a cost-effective solution for maintaining high performance.

Conclusion

For SREs and infrastructure-conscious teams, the dedicated GB10 hardware provided by ZC Inference Exchange is a critical tool for eliminating noisy neighbor latency and ensuring consistent performance. By focusing on p99 latency and offering competitive pricing, ZC Inference Exchange provides a robust solution for maintaining high-quality user experiences. To learn more about our pricing and sign up for a prepaid LLM credit line, visit https://zcx.zctechnologies.org#plans.

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