- High-End Nvidia GPUs arrive in all leaseweb data centers
- Locations throughout Europe, North America and Asia and Pacific are getting boost
- Adding should be good for data compliance and AI work load
LEASEWEB has expanded for treatment functions significantly with the launch of advanced NVIDIA GPUs in all its data centers.
The Amsterdam-based company announced that it now offers Nvidia’s L4, L40S and H100 NVL GPUs throughout its data centers in Europe, North America and Asia and the Pacific.
The move is a step forward towards making LeaseWeb a leader in delivering the computer needs of artificial intelligence, media and entertainment and gaming industries.
Prices promise to be competitive
“This message represents an important step for customers where GPU accessibility is increasingly important and will give organizations around the world the price/performance flexibility they need as soon as they need it,” noted Liat Mendelson Honddors, Principal Product Manager, AI and GPU at LEASEWEB.
Infrastructure development supports a number of AI-focused workloads, including model training and video analysis, while looking at traditional GPU use cases in media production and games.
Honderdors added, “Our customers value LeaseWebs extensive industrial expertise when planning and implementing infrastructure for their most processor -intensive workload. With considerations ranging from price and performance to data sovereignty and compliance, Leaseweeb’s solutions and advanced global networks mean that we are ideally suitable for helping our customers grow their business and expand to new markets, even at Hours’ notice. By incorporating nvidia technology to the best class in our infrastructure portfolio, we lay the basis for a wider solution set that will continue to develop with customer needs. “
LEASEWEB’s expansion marks a remarkable development for the company that began as a web hosting provider in 1997. With a current portfolio of 20,000 customers and over 80,000 servers over 28 data centers globally, the company has built a significant scale in traditional infrastructure services.
The new services can be a helping hand in data sovereignty and compliance headaches, where the company’s distributed global network allows customers to implement AI workloads in specific geographical regions. This may prove to be particularly important in markets with strict requirements for data localization.
