Scaling Bedrock's Nova Pro Model for High-Traffic Workloads

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Problem


A user needs to scale Amazon Bedrock’s Nova Pro foundation model to handle 2,100 requests per minute for high-traffic workloads. They’ve enabled cross-regional inference but hit a wall—provisioned throughput isn’t available in Frankfurt, and they’re wondering whether Ohio might solve the problem. The core pain: avoiding throttling at scale.

Clarifying the Issue


The crux is twofold:

• Provisioned throughput isn’t everywhere. Not every AWS region supports it. Frankfurt (eu-central-1) is one such case.
• On-demand scaling has ceilings. Bedrock’s on-demand usage will throttle once you cross soft limits (requests per second/minute) unless you pre-negotiate with AWS service teams.

So the real question: How do you push Bedrock Nova Pro past default throttles to reliably support thousands of requests per minute?

Why It Matters

• High-traffic apps stall without it. Customer-facing apps can’t afford throttling mid-request.
• Regional planning is strategic. Choosing Ohio (us-east-2) versus Frankfurt isn’t just latency—it’s about which region has quota headroom.
• Costs & commitments. Provisioned throughput locks you into a baseline spend, but gives predictable performance at scale.

For anyone running AI workloads on AWS Bedrock, knowing the limits and how to work with AWS to lift them is critical.

Key Terms

• Amazon Bedrock: AWS service for accessing foundation models via API.
• Nova Pro: Amazon’s large language model, optimized for inference and part of the Bedrock catalog.
• Provisioned Throughput: Guaranteed capacity for Bedrock calls, billed separately.
• On-Demand Model: Pay-per-request usage with throttling beyond quota.
• Cross-Regional Inference: Sending requests to a model hosted in another region when not available locally.

Steps at a Glance

1. Check Regional Availability – Verify which regions support provisioned throughput for Nova Pro.
2. Enable Cross-Regional Inference – Use regions with better quota availability.
3. File a Service Quota Increase – Request higher RPS limits via the AWS console.
4. Evaluate Provisioned Throughput (If Available) – Consider moving workloads to a region where it’s offered.
5. Implement Load Balancing & Retries – Smooth out spikes, but know it won’t lift a hard throttle.
6. Test in Ohio – Benchmark Bedrock Nova Pro in us-east-2 to confirm quota headroom.

Detailed Steps

1. Check Regional Availability


In the AWS Console → Bedrock → Models → Nova Pro. Confirm if “Provisioned Throughput” is available in your target region.
As of now, Frankfurt does not support it. Ohio (us-east-2) generally offers more options.

2. Enable Cross-Regional Inference


If your app is in Frankfurt but Nova Pro provisioned throughput is only in Ohio, enable cross-regional inference.
Be mindful of added latency, especially for real-time apps.

3. File a Service Quota Increase


Go to AWS Service Quotas. Search for Amazon Bedrock → Requests per minute for Nova Pro.
Submit a quota increase request for 2,100 or higher. AWS usually requires justification (production workload, projected traffic, business impact).
Example: checking your quota programmatically with boto3:


import boto3

client = boto3.client("service-quotas")

# Example: check quota for Bedrock "Requests per minute" in us-east-2
response = client.get_service_quota(
ServiceCode="bedrock",
QuotaCode="L-XXXXXX" # look up the correct code in the Service Quotas console
)

print("Quota name:", response["Quota"]["QuotaName"])
print("Current value:", response["Quota"]["Value"])




Note: The QuotaCode is specific to the region and resource. You’ll need to copy the exact code from the Service Quotas console for Nova Pro.

4. Evaluate Provisioned Throughput


If supported in Ohio, provision a baseline (e.g., 2,000 RPS) with Bedrock. This locks in capacity.
Factor in costs—provisioned is more expensive but ensures zero throttling.

5. Implement Load Balancing & Retries


At the app layer, smooth spikes with retries and backoff.
This helps absorb burst traffic but does not override a sustained quota limit. Only a quota increase or provisioned throughput resolves that.
Example: handling throttling gracefully in Python:


import boto3
import time
from botocore.exceptions import ClientError

bedrock = boto3.client("bedrock-runtime", region_name="us-east-2")

def call_model_with_retry(prompt, max_retries=5):
for attempt in range(max_retries):
try:
response = bedrock.invoke_model(
modelId="amazon.nova-pro-v1",
contentType="application/json",
accept="application/json",
body='{"prompt": "%s"}' % prompt
)
return response["body"].read().decode("utf-8")
except ClientError as e:
if e.response["Error"]["Code"] == "ThrottlingException":
wait = 2 ** attempt
print(f"Throttled, retrying in {wait}s...")
time.sleep(wait)
else:
raise
raise RuntimeError("Max retries exceeded")

print(call_model_with_retry("Hello Bedrock!"))



6. Test in Ohio


Deploy a small workload to Ohio. Benchmark throughput.
Confirm if quota headroom meets the 2,100 RPS requirement without throttling.
If stable, consider moving production traffic.

Conclusion


Scaling Bedrock Nova Pro beyond default limits isn’t automatic. Frankfurt users hit a wall because provisioned throughput isn’t there yet. The playbook: request quota increases, test cross-region in Ohio, and weigh provisioned throughput costs against predictability. For workloads requiring guaranteed 2,100+ requests per minute, region selection is as important as model choice.


Aaron Rose is a software engineer and technology writer at

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