and code testing,” says Friedman. That realization has been key to Qodo’s success. “Our code-embedding model is unique and the best out there for solving complex codebases. We have one million developers installing our tools, one million pull requests being reviewed every quarter, [and] 50,000 tests being generated every day.”
Accelerating model training and deployment
Being an AI startup means operating in a hyper-competitive and fast-changing landscape. Success relies on more than a great idea and willingness to put the work in. Access to advanced technologies, tools, expert guidance, and a supportive community are all critical to powering growth. That’s why Qodo took part in the Generative AI Accelerator, a global 10-week hybrid program designed to help startups prove what’s possible in their industry.
Startups that successfully enrolled in the program could access up to $1 million USD in AWS Promotional Credits to build, train, test, and launch their products using the full breadth of AWS services and technologies. They learned from a curated and seasoned network of experts from AWS, presenting partners like NVIDIA, and other industry leaders from top AI companies.All participants receive dedicated guidance from executive, go-to-market, and technical mentors matched to their industries and requirements. They can also connect with fellow cohort members from around the world through a growing virtual community, and attend exclusive networking events with AWS executives, AWS Partners, and top tier investors. For Qodo, the Generative AI Accelerator program presented a valuable opportunity to work closely with AWS and NVIDIA.
Delivering a better experience to a wider audience
To succeed and deliver the best possible experience for its customers, Qodo needs to cater to a rich set of deployment scenarios. After completing the Generative AI Accelerator, Qodo can confidently—and quickly—deploy its products across a wide range of infrastructure.
“Our clients are Fortune 500 companies, and they want the Qodo platform to run inside their own Virtual Private Cloud (VPC), that often means running on AWS,” says Friedman. For example, some Qodo customers are only willing to use AI solutions that are compatible with Amazon Bedrock, a fully managed service providing access to high-performing foundation models (FMs) from leading providers. “Fortunately, AWS makes it very easy for us to deploy and run our models the way our customers want,” says Friedman. AWS customers can also now access Qodo’s products in AWS Marketplace, delivering an even more streamlined deployment experience.
AWS Marketplace serves millions of AWS customers and helps software companies expand the reach and accessibility of their products. For startups like Qodo, AWS Marketplace helps to deliver a more flexible experience for customers, with support multiple pricing options including pay-as-you-go, long-term commitment plans, Private Offers, and flexible payment schedules. Joining AWS Marketplace has also opened new co-marketing and co-selling opportunities for Qodo.
Leading technology and deep integration
Qodo is using AWS and the NVIDIA accelerated computing platform to improve the training and compatibility of its products. For example, training AI models is a resource-intensive process that requires significant time and financial investment. The Qodo team are using NVIDIA Hopper graphics processing units (GPUs) to train their models efficiently, delivering high-memory bandwidth, optimized processing power, and faster deep learning.
“At Qodo, we have four different models, and we use NVIDIA H100 to train them,” says Friedman. “We care a lot about quantization and the Hopper architecture in NVIDIA H100 enabled us to achieve 10x context length and 3x throughput.” This helps the Qodo team avoid bottlenecks and increase the computation power available to them throughout training processes.