Genspark, a fast-growing innovator in general-purpose AI agents serving more than 20 million users globally, has named Amazon Web Services (AWS) as its preferred cloud provider. By tapping into AWS’s advanced infrastructure and generative AI technologies, Genspark has significantly lowered development and operational costs while strengthening the performance and scalability of its generative and agentic AI platforms.
Established in 2023, Genspark has built a diverse portfolio of intelligent AI agents, including a deep research agent designed to deliver accurate, comprehensive results and automate complex research workflows. The company is known for creating a flexible general-purpose AI agent. This agent can manage many tasks without needing retraining for each one. Its main solution, Super Agent, combines essential features into a single workspace. This workspace supports research, content creation, and productivity tasks.
By adopting AWS’s autoscaling technologies, Genspark has boosted the cost-efficiency of its GPU workloads and streamlined operational management. Leveraging Amazon EC2 Spot Instances has enabled the company to cut GPU expenses by 60–70%. In combination with Amazon EKS and the high-performance Cluster Autoscaler, Genspark can dynamically secure compute resources while maintaining predictable, low-cost operations.
AWS’s global footprint is also enhancing Genspark’s end-user experience. For instance, the company’s Image Studio feature runs its Flux image generation model on Amazon EKS supported by Amazon EC2 G6e instances. This architecture allows Genspark to use a variety of GPU types, reducing image generation times to just seconds while delivering high-quality visual output.
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A critical component of agentic AI development is unifying reasoning, planning, tool use, and business-aligned orchestration to ensure agents can efficiently achieve defined objectives. To accomplish this, Genspark relies on the Claude family of models through Amazon Bedrock to power agentic workflows across products such as Super Agent, AI Slides, AI Sheets, AI Designer, and AI Developer. With its fully managed environment and broad selection of foundation models, Amazon Bedrock strengthens service reliability and responsiveness while lowering the cost of model training and fine-tuning. Through prompt caching alone, Genspark has achieved a 72% reduction in model inference costs.
Genspark joined “AWS Activate 2.0” and the second cohort of the “AWS Startup Accelerator.” These programs gave the company valuable technical guidance, resources, and market support. They sped up product validation. They improved generative AI capabilities. They enhanced user experience. They also supported international expansion.
Justin Liu, co-founder & Chief Architect of Genspark, said: “In the generative AI domain, AWS demonstrates outstanding technological leadership and deep capabilities. Our close collaboration has greatly advanced our breakthroughs in agentic AI product development and cost optimization and has meaningfully improved user experience. Looking ahead, we look forward to deepening our co-innovation with AWS in agentic AI, expanding into broader application scenarios, and jointly shaping a new paradigm for intelligent content access and creation.”
“Millions of users are already using Genspark network of specialized agents that can conduct every-day activities including research, content creation, and office productivity,” said Jason Bennett, VP and Global Head of Startups and Venture Capital at AWS. “By leveraging AWS’s AI stack, they’ve reduced costs by up to 72% while significantly improving performance. This demonstrates how our AI infrastructure and services are enabling startups to scale their AI applications efficiently. We’re excited to continue supporting Genspark as they push the boundaries of agentic AI.”