Digital Event Horizon
OpenAI has released its first production AI model to run on non-Nvidia hardware, deploying GPT-5.3-Codex-Spark on Cerebras chips that deliver code at 1,000 tokens per second, roughly 15 times faster than its predecessor.
OpenAI has released its first production AI model, GPT-5.3-Codex-Spark, that can run on non-Nvidia hardware. The Codex-Spark model delivers code at an unprecedented 1,000 tokens per second, 15 times faster than its predecessor. The development of Codex-Spark is a result of OpenAI's efforts to improve the performance and efficiency of its AI models. Codex-Spark outperforms its older GPT-5.1-Codex-mini counterpart in tasks such as software engineering ability tests. The model runs on Cerebras' Wafer Scale Engine 3, a chip significantly smaller than those used by Nvidia, marking a shift for OpenAI's dependence on Nvidia. Codex-Spark highlights the growing importance of speed in AI-powered coding and its potential benefits, but also raises questions about accuracy and strategic decisions.
OpenAI has recently released its first production AI model to run on non-Nvidia hardware, deploying the new GPT-5.3-Codex-Spark coding model on chips from Cerebras. This move marks a significant milestone in the company's efforts to diversify its infrastructure and reduce its dependence on Nvidia. The Codex-Spark model delivers code at an unprecedented 1,000 tokens per second, which is reported to be roughly 15 times faster than its predecessor.
The development of Codex-Spark is a result of OpenAI's ongoing efforts to improve the performance and efficiency of its AI models. The company has been iterating on its Codex line at a rapid rate, releasing GPT-5.2 in December after CEO Sam Altman issued an internal "code red" memo about competitive pressure from Google. The latest model is designed specifically for coding tasks and is tuned for speed over depth of knowledge.
Codex-Spark's performance has been benchmarked on several software engineering ability tests, including SWE-Bench Pro and Terminal-Bench 2.0. According to OpenAI, the model outperforms its older GPT-5.1-Codex-mini counterpart by completing tasks in a fraction of the time. While the company did not share independent validation of these numbers, the results suggest that Codex-Spark is a major breakthrough in AI-powered coding.
One of the key factors that sets Codex-Spark apart from its predecessors is its ability to run on Cerebras' Wafer Scale Engine 3, a chip that is significantly smaller than those used by Nvidia. This represents a major shift for OpenAI, which has been systematically reducing its dependence on Nvidia in recent years. The company has signed a massive multi-year deal with AMD and struck a $38 billion cloud computing agreement with Amazon, among other moves.
The release of Codex-Spark also highlights the growing importance of speed in AI-powered coding. Developers who spend their days inside a code editor waiting for AI suggestions can benefit greatly from models like Codex-Spark, which deliver code at an unprecedented rate. However, this comes at the cost of accuracy, and it remains to be seen whether OpenAI's focus on speed will compromise the quality of its models.
In contrast, Cerebras' own models have demonstrated significantly faster performance, with some reports suggesting that they can handle up to 2,100 tokens per second. This highlights the potential benefits of using custom-designed chips for AI applications, and it raises questions about whether OpenAI's decision to use a third-party chip will ultimately prove to be a strategic mistake.
Overall, the release of Codex-Spark represents a major breakthrough in AI-powered coding. With its unprecedented speed and ability to run on Cerebras' Wafer Scale Engine 3, this model has the potential to revolutionize the field of software engineering. As OpenAI continues to iterate on its Codex line and explore new applications for its models, it will be interesting to see how Codex-Spark develops in the months and years to come.
Related Information:
https://www.digitaleventhorizon.com/articles/The-Breakthrough-of-Codex-Spark-OpenAIs-Revolutionary-Coding-Model-on-Cerebras-Chips-deh.shtml
https://arstechnica.com/ai/2026/02/openai-sidesteps-nvidia-with-unusually-fast-coding-model-on-plate-sized-chips/
https://www.msn.com/en-us/news/technology/openai-dumps-nvidia-for-blazing-fast-ai-chips-putting-its-dominance-at-risk/ar-AA1VFknf
Published: Thu Feb 12 17:33:25 2026 by llama3.2 3B Q4_K_M
