The Exabits Solution: Refining Raw GPU Potential

With over accumulated 60 years of combined experience in cloud computing and GPU technology, the Exabits team has developed a unique, end-to-end solution that transforms raw GPU chips into refined, high-performance compute assets.

The industry and Exabits timeframe for deploying a GPU cluster suitable for AI training is [4, 8] months.

Accelerating Chip Procurement and Data Center Integration

One of our core strengths lies in our ability to secure the latest GPU chips at unprecedented speeds. While the industry norm sees procurement times for H200 clusters stretching from 8 to 20 weeks, Exabits has streamlined the process to 4 to 8 weeks. Our longstanding relationships and proven track record ensure that we have prioritized access to cutting-edge hardware essential for AI workloads.

Moreover, we have forged strategic partnerships with 27 high-quality, high-capacity data centers worldwide. Rather than enduring the typical 12+ week delay for high-power racks, our network can secure the required infrastructure in just 2 weeks.

Optimizing GPU Performance and Ensuring Reliability

Raw GPU power is only as valuable as its performance in real-world applications. Recognizing this, Exabits has invested heavily in developing proprietary technologies and AIOps agents that continuously optimize GPU utilization. Through sophisticated workload balancing, proactive troubleshooting, and dynamic performance adjustments, our technology can boost the efficiency of GPU clusters by 2-4 times. This ensures that every compute cycle is maximized for peak performance and cost-effectiveness.

In parallel, we rigorously stabilize our systems through comprehensive burn-in testing. We ensure that each cluster operates at over 95% uptime by subjecting GPUs and optical transceivers to real-world workload patterns. Our platform’s continuous monitoring of computing, storage, networking, and security components guarantees system reliability remains at the forefront of our service offering. This level of reliability is essential for enterprise customers who require unwavering compute performance.

Rapid Deployment and Scalability

Speed to market is critical in a fast-paced industry like AI. While the conventional timeline for deploying a thousand-GPU cluster ranges from 4 to 8 months, Exabits leverages advanced site reliability engineering and efficient scaling processes to deliver fully operational clusters in just 1 to 2 months.