Cerebras, Gimlet Labs Partner for Ultrafast AI Inference Cloud

On September 28, 2026, Gimlet Labs and Cerebras Systems announced a strategic partnership aimed at delivering ultrafast, production-scale AI inference. Headquartered in San Francisco and Sunnyvale, California respectively, the two firms will combine Gimlet’s disaggregated inference software stack with Cerebras’ wafer-scale compute architecture to form a new inference cloud optimized for real-time and agentic workloads. The collaboration introduces a purpose-built infrastructure that orchestrates model execution across heterogeneous silicon. By routing each inference phase to the hardware best suited for the task, the integrated solution pairs Cerebras’ high-speed processors with high-throughput GPUs. This disaggregated approach is engineered to achieve inference speeds of up to 3,000 tokens per second, significantly reducing latency for voice, video, and interactive AI applications. The architecture directly addresses the industry’s growing demand for fluid, real-time user experiences that drive higher engagement and enable more complex, high-value computational workloads. Industry leaders emphasize that raw inference speed is a critical differentiator for next-generation AI deployment. Gimlet Labs co-founder and CEO Zain Asgar noted that fast inference transforms AI from a passive tool into an active collaborator, unlocking new market opportunities and improving developer productivity. Cerebras co-founder and CTO Sean Lie highlighted the economic advantages of the partnership, stating that merging Cerebras’ industry-leading speed with GPU throughput creates optimal datacenter economics. The integration also positions Gimlet Cloud as a primary launch partner for Cerebras’ upcoming CS-4 architecture, providing developers with direct access to the company’s latest hardware innovations. Building on joint customer engagements and private deployments initiated last year, the companies will now expand their cooperation to encompass software integration, infrastructure design, API development, and production-grade optimization. A dedicated Cerebras-powered datacenter within the Gimlet Cloud ecosystem is scheduled to come online later this year, making ultrafast inference broadly available to external developers and enterprise clients. Gimlet Labs, backed by Andreessen Horowitz and Menlo Ventures, will continue advancing its research in automated kernel generation, workload orchestration, and heterogeneous execution to maximize compute efficiency across diverse hardware platforms. The partnership underscores a broader industry shift toward specialized, disaggregated AI infrastructure designed to meet the escalating performance and latency demands of commercial AI applications. By aligning Cerebras’ wafer-scale processing with Gimlet’s orchestration layer, the initiative aims to set a new standard for scalable, real-time inference, directly impacting developer tooling, application responsiveness, and the economics of large-scale AI deployment.