Open-source just got a power-up. Together AI is now integrating OpenAI's GPT-OSS models, slashing deployment friction for developers and enterprises alike.
Why this hits different: It’s not just about access—it’s about speed. By leveraging GPT-OSS, Together AI bypasses the usual bottlenecks of proprietary model deployment. No more begging for API quotas or waiting on vendor approvals.
The finance jab? Wall Street’s still trying to monetize last-gen AI while the open-source crowd is already iterating at lightspeed. Good luck keeping up.
Bottom line: This move accelerates the AI arms race—and the winners won’t be the ones writing the biggest checks.
OpenAI has expanded its influence in the artificial intelligence sector by releasing its latest models, GPT-OSS-120B and GPT-OSS-20B, under the Apache 2.0 license. These models are now available on Together AI's infrastructure, which promises robust performance and high reliability, according to together.ai.
Democratizing AI Deployment
The release of these models aims to democratize AI deployment globally, providing industries, communities, and countries access to cutting-edge AI tools. Together AI's infrastructure supports these models as serverless or dedicated endpoints, ensuring easy deployment with optimized performance and economics. The models can be modified and deployed without restriction, embodying OpenAI's commitment to accessibility and safety.
Key Features and Performance
OpenAI's GPT-OSS models are designed specifically for reasoning tasks and have undergone rigorous safety training and evaluation. These models offer full transparency and control, allowing organizations to fine-tune and deploy them in various environments, including air-gapped settings for sensitive data handling. The models' performance is benchmarked against other OpenAI models, showing competitive results in reasoning and knowledge tasks.
Proven Infrastructure and Economic Advantage
Together AI provides a robust platform for deploying these models, featuring a 99.9% uptime service level agreement (SLA) and SOC 2 compliance for enterprise-level security. The platform's comprehensive developer tooling supports unlimited fine-tuning and AI engineer control, enhancing the models' adaptability to specific use cases.
The infrastructure is optimized for cost-effective deployment, with transparent pricing and no hidden fees. This economic advantage makes it feasible for organizations, especially those in emerging markets, to leverage advanced AI capabilities without prohibitive costs.
Real-World Applications
The GPT-OSS models unlock numerous applications across various sectors. In emerging markets, these models can be fine-tuned for local languages, supporting sustainable business models. Government entities can maintain digital sovereignty by deploying these models in controlled environments, ensuring data security and performance. Academic institutions benefit from the transparency of the models, facilitating research and education.
Overall, OpenAI's collaboration with Together AI exemplifies how open models can drive innovation and accessibility in AI deployment, offering organizations the tools to create and innovate with full model ownership and control.
Image source: Shutterstock- ai deployment
- openai
- together ai
- gpt-oss
