PolarPath is always watching the frontier of AI to bring practical solutions to our clients. This week AWS announced the availability of two new OpenAI models, gpt-oss-120b and gpt-oss-20b, with open weights in Amazon Bedrock and SageMaker JumpStart. These text-generation models have up to a 128K context window and adjustable reasoning levels, making them powerful tools for coding, analysis and problem solving. They support external tools, agentic workflows and offer full visibility into their chain of thought.
But what does this mean for your business? In this article we break down the announcement in plain language and explain how PolarPath can help you leverage these advances to create real value.
What are open weight models?
Traditional AI models are often closed systems: you can send a prompt and get a response, but you can’t see or adapt the model itself. Open weight models come with the neural network weights, giving organisations greater control over how the model behaves. OpenAI’s gpt-oss-120b and gpt-oss-20b models run on AWS infrastructure, but because the weights are open you can inspect, fine-tune and deploy them in ways that fit your business.
Key features at a glance:
- Two sizes for different needs: The 120-billion-parameter and 20-billion-parameter models both excel at generating text, writing code, analysing data and reasoning through complex problems. The smaller model is faster and more cost-effective for straightforward tasks, while the larger model delivers deeper reasoning for challenging workloads.
- Long-form understanding: With a 128-thousand-token context window, these models can process very long documents, transcripts or datasets without losing track of the conversation.
- Adjustable reasoning: You can choose low, medium or high reasoning levels to balance speed and accuracy depending on your application.
- Transparent chain of thought: Unlike typical AI services, these models can output the reasoning steps behind their answers, giving you clarity and confidence in the results.
- Tool-friendly: They support plugins and frameworks like Strands Agents, making it easier to integrate them into existing workflows or build custom agents.
Deploying on AWS with PolarPath:
AWS offers two ways to use these open weight models: Amazon Bedrock and SageMaker JumpStart. Both options give you secure, scalable infrastructure without the headaches of managing hardware.
- Experiment quickly with Amazon Bedrock: Through the Bedrock console you can test prompts, mix and match models and integrate the API with your applications. The OpenAI-compatible endpoint means your existing OpenAI SDK code can be switched to Bedrock with a simple configuration change. PolarPath can help you set up proof-of-concepts in days rather than weeks.
- Customize and deploy with SageMaker JumpStart: If you need more control, SageMaker JumpStart lets you fine-tune the model on your own data, compare different versions and deploy to production on managed instances. PolarPath’s team has deep experience in data preparation and model training; we ensure your fine-tuned model respects privacy and delivers the insights you need.
Why this matters for your business:
AI is no longer the exclusive domain of tech giants. By combining OpenAI’s open weight models with AWS’s reliable infrastructure, mid-sized businesses can:
*Automate repetitive tasks: Generate reports, draft emails or summarise documents faster than ever.
*Enhance decision-making: Analyse large datasets and receive reasoning-based recommendations that you can audit.
*Build custom assistants: Create internal tools that understand your processes and respond to employees in plain language.
*Stay compliant: Keep full control over your data and the model weights. You can deploy the model in your chosen region (Bedrock in Oregon, or SageMaker in Ohio, N. Virginia, Mumbai or Tokyo) to meet regulatory requirements.
How PolarPath supports you:
At PolarPath, we don’t just deploy models, we partner with you to ensure they solve real business problems. Here’s how we can help:
- Use-case discovery: We work with your team to identify processes that can benefit from AI, from customer support to research and development.
- Data readiness: Our experts handle data cleaning and integration so the models learn from high-quality, relevant information.
- Model customisation: We fine-tune the open weight models to your unique domain, whether that’s finance, construction, or retail.
- Integration: We build secure APIs and dashboards to integrate AI insights into your existing systems.
- Continuous improvement: AI is never “set and forget.” We monitor performance, retrain the model as your business evolves and provide transparent reporting.
Conclusion:
The arrival of OpenAI’s open weight models on AWS is a major step forward for transparent, adaptable AI. PolarPath combines these powerful technologies with our industry expertise to deliver solutions that are practical, secure and easy to understand. If you’re ready to explore how AI can streamline your operations and unlock new opportunities, contact us for a free consultation. We’re excited to help you harness the future of AI, today.
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