Accelerate AI with hardware
After many years of processing AI workloads in the cloud companies are moving their workloads off the cloud. The most common reasons:
Total cost of ownership
Running a GPU-powered virtual machine in any cloud costs more than 10,000 USD yearly. Comparing that to a traditional investment in a server with next-day business support and full waranty, in many cases the total cost of ownership is higher and more unpredictable with cloud solutions.
Huawei are global leaders in cost-effective hardware acceleration benefitting companies with existing IT on-premise infrastructure and companies looking to reduce their cloud expenses on AI.
Atlas 200 Developer Kit