AI that never stalls.
GPUs that never sit idle.

“At Uber…every millisecond matters—latency spikes don’t just hurt customer experience, they directly impact driver retention and revenue..Their unique innovation can greatly help Uber expedite the detection and fault-localization of networking issues: from hours to minutes.. Clockwork’s software-driven fabric…helps us deliver what matters most: improved infrastructure utilization, enhanced resiliency, and..a better experience for…millions of people..”

“…we are building the foundation for AI at planetary scale..Clockwork’s approach aligns perfectly with ours, and together we’re creating an AI infrastructure that is not only powerful and reliable, but ready to support the most demanding innovations of the future.”

“…exactly what our customers need when running large-scale AI workloads where any disruption can be costly…works across different network configurations without requiring hardware lock-in…solutions that focus on the communication layer — which is often a bottleneck — are becoming increasingly important for delivering the performance and reliability…our customers expect.”

“Our mission at DCAI is…to not only serve researchers, startups, and enterprises today, but also to build the sovereign foundations of tomorrow’s innovation… Gefion is a game-changing resource driving breakthroughs in quantum computing, drug discovery, advanced weather forecasting and beyond…Clockwork enables us to operate Gefion seamlessly and reliably…The result is a compute-efficient, fault-tolerant infrastructure that researchers and industries can trust — lowering costs, eliminating wasted GPU cycles, and helping us deliver a sovereign AI capability second to none.”

“…Clockwork helps us deploy GPU clusters faster and with greater consistency. Their observability and rapid localization of fabric issues not only reduce deployment times but also validate the reliability of our infrastructure, ensuring clients’ AI workloads run on clusters built for performance, resilience and scale.”

“As AI infrastructure scales to tens of thousands of GPUs for training and inference, the bottleneck has shifted from compute to communication. With accelerators running in lockstep, a single link flap, congestion spike or straggler can stall progress and crater utilization. The operational priority is utilizing real-time fabric visibility for faster fault isolation and recovery to keep workloads moving instead of looping through costly restarts. And as Mixture of Experts (MoE) models with high rank expert parallelism proliferate, the all-to-all exchange intensifies, raising the bar even higher for GPU communication efficiency.”

“MI350X series systems with ROCm software and Pollara NICs provide a strong foundation for performance and reliability in AI training and inference. As deployments expand, ecosystem innovation, such as Clockwork’s software-driven approach, adds complementary capabilities that help ensure efficiency and consistency at scale.”

“At Broadcom, our focus has always been on delivering Ethernet-centric infrastructure that scales AI with both performance and efficiency. Clockwork’s software-driven fabric adds an essential layer of agility and observability that enhances the power of our silicon. With proactive fleet monitoring and seamless failover, Clockwork enables platforms such as our Tomahawk 6 and Jericho4 to realize their full potential in flexibility, uptime, and AI performance. Together, we’re driving open, adaptable fabrics that allow enterprises to build AI infrastructure that is resilient, high-performing, and future-ready.”