ZC · INFERENCE

Drive down costs and ensure consistent performance with ZC Technologies' dedicated GB10 hardware. Sign up now for the ZCX LLM credit line to get 30% off your first month. https://zcx.zctechnologies.org#plans

by Ryan Lindsey · 2026-06-17

In multi-tenant environments, shared resources can lead to unpredictable performance, especially in terms of latency. This is a critical issue for systems requiring consistent performance. This post explores how dedicated GB10 hardware can mitigate noisy neighbor effects and ensure stable latency, particularly focusing on the p99 latency metric, which is more indicative of user experience than average latency.

Understanding Noisy Neighbor Effects

In a multi-tenant cloud environment, noisy neighbors are instances where one tenant's workload can significantly impact the performance of another tenant's workload due to shared resources. This often manifests as increased latency, particularly in the p99 latency metric, which measures the latency experienced by the slowest 1% of requests. This is a more critical metric for user experience than the average latency, as it directly affects the responsiveness of the system under load.

Hardware Isolation with Dedicated GB10

Dedicated GB10 hardware offers a solution to noisy neighbor effects by providing complete hardware isolation. Each tenant has exclusive access to their own GPU resources, eliminating the performance variability caused by other tenants' workloads. This isolation ensures that the p99 latency remains low and consistent, which is essential for maintaining a high-quality user experience.

Technical Details

The ZC Inference Exchange serves Qwen 2.5 models on dedicated NVIDIA GB10 silicon. This setup allows for hardware-level isolation, which is crucial for maintaining performance guarantees. The OpenAI-compatible API at /v1/chat with Bearer token authentication ensures seamless integration with existing workflows.

import requests

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

data = {
    'model': 'qwen2.5:72b',
    'messages': [{'role': 'user', 'content': 'Hello, how are you?'}]
}

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

Pricing and Plans

ZC Technologies offers competitive pricing that is 60-80% lower than Anthropic and OpenAI per 1M tokens. The plans include:

Conclusion

For SREs and infrastructure-conscious teams, the dedicated GB10 hardware from ZC Technologies provides a robust solution to noisy neighbor latency issues. With complete hardware isolation and competitive pricing, ZC Technologies ensures that your application experiences consistent performance. Sign up for a prepaid LLM credit line at https://zcx.zctechnologies.org#plans to start benefiting from dedicated hardware today.

Try ZCX on a prepaid credit line.
See plans →