Eliminate Noisy Neighbor Latency with Dedicated GB10 Inference

by Ryan Lindsey · 2026-06-17

In multi-tenant environments, noisy neighbor effects can severely impact your API response times, particularly in the 99th percentile latency (p99). This blog post explores how hardware isolation on dedicated GB10 silicon can mitigate these issues, ensuring consistent performance and reliability for your applications. We'll delve into the technical details of hardware isolation and why p99 latency is crucial for mission-critical services.

Why Hardware Isolation Matters

Hardware isolation on dedicated GB10 silicon means that your application has exclusive access to the GPU resources, eliminating the variability and unpredictability associated with shared environments. This setup guarantees that your API's performance is not affected by other users' workloads, which is critical for maintaining service level agreements (SLAs) and user experience.

The Importance of p99 Latency

While average latency can be a useful metric, it doesn't account for the worst-case scenarios that can significantly impact user experience. The 99th percentile latency (p99) is a more accurate representation of the upper bound of latency, which is essential for understanding the maximum delay users might experience. In mission-critical applications, ensuring low p99 latency is paramount.

How ZC Inference Exchange Ensures Low p99 Latency

ZC Inference Exchange provides dedicated NVIDIA GB10 silicon for running Qwen 2.5 models, both 32B and 72B, ensuring that your workloads are isolated from others. This hardware isolation directly contributes to a lower p99 latency, as there are no competing workloads to contend with for GPU resources.

Here's a simple example of how you can integrate the ZC Inference Exchange API into your application:

import requests

headers = {
    'Authorization': 'Bearer YOUR_BEARER_TOKEN',
    'Content-Type': 'application/json'
}

data = {
    'model': 'qwen2.5:72b',
    'messages': [{'role': 'user', 'content': 'What is the capital of France?'}]
}

response = requests.post('https://zcx.zctechnologies.org/v1/chat', headers=headers, json=data)
print(response.json())

Pricing and Plans

Our pricing is designed to be competitive, offering significant savings compared to other providers. For instance, our Business plan provides 60M tokens for $1999/month, which is 60-80% cheaper than similar offerings from Anthropic or OpenAI.

Conclusion

For SREs concerned with maintaining high service quality and reliability, the dedicated GB10 silicon from ZC Inference Exchange offers a compelling solution to noisy neighbor latency. With our competitive pricing and focus on hardware isolation, you can ensure that your applications perform consistently and efficiently. Sign up for a prepaid LLM credit line at https://zcx.zctechnologies.org#plans.