- AI System Architects: Build next-gen infrastructure for high-complexity AI applications.
- Hyperscalers: Deploy optical interconnects for large, distributed AI clusters.
- Semiconductor Manufacturers: Integrate photonic systems for improved chip-to-chip and chip-to-memory communication.
- Enterprise Data Centers: Scale high-performance compute with minimal power usage and latency.
- AI Research Teams: Optimize memory and networking for training advanced AI models.
How to Use Celestial AI?
- Adopt Photonic Fabric™: Integrate Celestial’s optical interconnects in new or existing compute infrastructure.
- Optimize AI Workloads: Enhance I/O bandwidth and reduce latency for large-scale model training.
- Collaborate with Industry Leaders: Work with partners to validate and deploy photonic solutions.
- Deploy at Hyperscale: Build future-proof clusters for next-level AI training and inference.
- Photonic Fabric™ Platform: Delivering transformative optical interconnect for AI, memory, and networking.
- Eliminates Memory Wall: Connects massive amounts of shared memory at HBM speeds with minimal latency.
- Industry Adoption: Already validated and adopted by major hyperscalers and semiconductor leaders.
- Nanosecond Latency: Unmatched speed for AI data movement and computing operations.
- Sustainability Focused: Dramatically lowers energy consumption for power-hungry AI infrastructure.
- Groundbreaking improvements to AI I/O, memory, and networking.
- Proven adoption with hyperscalers and leading semiconductor partners.
- Unmatched combination of speed, power efficiency, and scale.
- Strong focus on building sustainable AI infrastructure for the future.
- Technology adoption may require significant integration effort.
- Currently most beneficial for the largest-scale AI and data center applications.
- Initial deployment focused on select industry partners and hyperscalers.
- Dependent on silicon photonics ecosystem maturity and supply chains.
Custom
Pricing information is not directly provided.
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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