Open Source Models on Blackwell Cut AI Inference Costs by 10x

The integration of NVIDIA's Blackwell platform with open-source AI models is significantly reducing inference costs, potentially revolutionizing the economics of AI. Inference providers like Baseten, DeepInfra, Fireworks AI, and Together AI are leveraging this combination to achieve up to a 10x reduction in cost per token. This breakthrough is particularly impactful for businesses scaling AI interactions, where tokenomics play a crucial role in affordability.

The case studies of Sully.ai and Latitude demonstrate the tangible benefits of this approach. Sully.ai achieved a 90% reduction in inference costs by using Baseten's Model API on Blackwell GPUs, while Latitude reduced its cost per token by 4x using DeepInfra. These results highlight the potential for significant cost savings and performance improvements across various industries.

This trend towards lower inference costs could democratize AI, making it more accessible to smaller companies and fostering a more diverse and innovative AI ecosystem. However, reliance on specific hardware platforms and the complexity of optimizing open-source models may present challenges for some businesses.