SUMMARY
- Cornelis Networks raised $205M in funding.
- Funds will support production and new products.
- Cornelis Networks builds networking solutions for AI.
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Follow usCornelis Networks, a Wayne, PA-based provider of networking solutions for AI and HPC workloads, has raised $205M in a funding round; backers included IAG Capital Partners.
The company plans to use the funding to scale production, deepen customer partnerships and accelerate the go-to-market rollout of new products, including its CN6000 platform.
Funding Snapshot
| Metric | Details |
|---|---|
| Fundraise Amount | $205 million |
| Funding Stage | Funding Round |
| Valuation | Not disclosed |
| Company | Cornelis Networks |
| Sector | AI Infrastructure / Networking |
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About Cornelis Networks
Founded in 2020 by Philip Murphy and Gunnar K. Gunnarsson, Cornelis Networks develops networking solutions designed for demanding AI and HPC workloads. Its technology focuses on improving communication between computing resources and reducing the amount of time accelerators spend waiting for data.
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The company's Active Compute Fabric combines lossless transport, in-fabric acceleration and programmable compute, allowing the network to process data as it moves through the system.
Core offerings include:
- AI networking infrastructure
- HPC networking solutions
- Active Compute Fabric
- CN6000 platform
Core Technologies / Products / Services
| Capability/Product | Application/Use Case |
|---|---|
| Active Compute Fabric | Processes and accelerates data within the network |
| Lossless Transport | Supports reliable data movement |
| In-Fabric Acceleration | Offloads operations from accelerators |
| Programmable Compute | Allows the network to adapt to changing workloads |
| CN6000 Platform | Next-generation networking for AI and HPC workloads |
Leadership Comments
“AI infrastructure is reaching a point where faster endpoints alone are not enough. The fabric has to become an active part of the compute system,” said Lisa Spelman, CEO of Cornelis. “Customers want complete rack-scale solutions without being locked into a single vendor or architecture.
“As AI systems continue to scale, moving data efficiently across the rack becomes just as important as the compute itself,” said Tony Pialis, EVP and GM, Data Center, Qualcomm Technologies, Inc. “Improving utilization and AI economics will require a more integrated approach across compute, memory, and networking, and Cornelis’ vision for an open, programmable fabric aligns with that industry direction.
Read More:California-Based Flam Raises $40M in Series B Funding
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