Fluidstack and Macquarie Partner to Finance GPUs for AI Labs in Europe
Fluidstack and Macquarie Asset Management have announced a strategic GPU financing deal to supply GPUs to leading AI research labs across Europe, announced in a press release. This partnership allows AI labs to access cutting-edge compute resources without the burden of long-term contracts.
The financing structure, secured by the GPUs themselves, enables Fluidstack to provide AI compute to customers like Mistral, Character.AI, and Poolside. This flexibility is crucial as AI labs scale their infrastructure for training and deploying next-generation models.
Fluidstack and Macquarie plan to expand their collaboration, focusing on developing new financing models tailored to the unique needs of AI companies. Both organizations see Europe as a significant opportunity for future investments in AI infrastructure, particularly as the region accelerates its adoption of advanced AI technologies.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Enterprise
Oct 16 BOC Group Adds AI Assistant to ADOIT 21 Oct 16 Huawei Brings Upgraded Stellar Network Solution to Europe Oct 16 Element to Manage Waymo's Toronto Fleet for 2028 Launch Oct 16 CTM and Huawei Plan AI Network Security Upgrades in Macao Oct 16 Huawei and 14 partners form Global AI CITY allianceEnterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
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
Sharon AI Secures US$356 Million GPU Backed Debt Facility
NVIDIA Commits $250 Million in Compute to UK AI Safety Research
NVIDIA Plans Investments in Four French Startups
Flexcompute Raises Funding for Physics World Model
Scality Launches AI Inference Factory for On Premises Deployment
Daily AI Brief: the AI news that matters, in your inbox.