NovoLINC Launches MaxLINC Thermal Material for AI Chips
NovoLINC announced in a press release the launch of MaxLINC, a thermal interface material for high power AI chips. The company reports thermal resistance as low as 0.7 mm²•K/W and cooling energy savings of more than 20% for AI servers compared with current phase change materials and thermal grease products.
MaxLINC uses a nanostructured composite architecture and supports heat flux above 100 W/cm². It accommodates device and package warpage up to 350 µm and can be used between chips, cold plates, package heat spreaders and packaged devices.
Samples are available for customer qualification. NovoLINC is also expanding into a facility in Sharpsburg, Pennsylvania, to increase manufacturing, testing and research capacity.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.
Also, consider following us on social media:
More from Data Centers
Nov 14 Telus pulls out of two Vancouver AI data centre projects with Westbank Nov 14 Petition to reinstate Jensen Huang as Nvidia CEO passes 115,000 signatures, with Elon Musk among signers Nov 14 Asian governments respond to Jensen Huang's exit from Nvidia Nov 14 Malaysia plans law making data centres disclose AI chip imports and power use to curb smuggling Nov 14 More than 13,000 object to Chapelcross plan for world's largest AI data centre campusSilicon Brief
Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
NVIDIA Brings DSX Power and Cooling Controls to European AI Factories
Ceva NPU Enters Production in Mobilint REGULUS Chip
NVIDIA Expands Chip Packaging and Testing Capacity
Luminal raises $25 million to run AI inference on chips beyond Nvidia's
Clivet Unveils Magnetic Bearing Compressor for AI Data Center Cooling
Daily AI Brief: the AI news that matters, in your inbox.