GIGABYTE Servers with End-to-End Platform from NVIDIA and VMware.
Complete Ecosystem for Virtualization
Pervasive technology, such as Artificial Intelligence (AI), is often right in front of our eyes in plain sight, but we don’t notice it or ask why it does what it does. Your phone unlocks when you look at it, your Netflix account suggests documentaries you love, you ask Google Assistant where to buy running shoes; all of these tasks are customized to the user with the power of AI. However, AI impacts more than individual consumers and does so into the realm of enterprise applications whether it be for more efficient manufacturing or improved health care as a result of AI implementations.
So, what is driving the need for more robust AI solutions? The ever-increasing complexity of models is demanding higher computing capacity to achieve efficient goals. As well, more server hardware and clusters are able to be pulled into a virtualized environment to handle the sheer amount of data in deep learning and machine-learning.
Businesses have quickly taken notice and are adopting AI fervently. They are using it to improve planning and operations, detect data breaches, predict with greater accuracy, and forecast sales, just to name a few. Some of the key industries adopting AI are manufacturing, telecom, healthcare, agriculture, and retail.
Clearly these industries took notice and the growth of AI can not be stopped, not even by a global pandemic. According to the International Data Corporation’s (IDC) Worldwide Semiannual Artificial Intelligence Tracker, “Worldwide revenues for the artificial intelligence (AI) market, including software, hardware, and services, are forecast to grow 16.4% year over year in 2021 to $327.5 billion.” The IDC goes on to say, “By 2024, the market is expected to break the $500 billion mark.” Furthermore, “…software represented 88% of total AI market revenues in 2020.” So, what’s driving growth in the AI software segment? AI Software Platforms and AI Application Development & Deployment are leading the charge as they are forecasted to have the highest growth rate . AI software platforms are crucial for developers and data scientists that want quick deployment of enterprise servers for AI.
The enterprise market is a new frontier and is still open to AI partnerships with software providers, such as VMware. VMware is the leader in market share for cloud computing and virtualization, and VMware has a proven track record of over 20 years’ experience. Recently VMware has led the charge with the product suite VMware vSphere, which is a bare-metal hypervisor that creates and manages virtual machines. As such, recognizing the importance of pairing hypervisors with server hardware, GIGABYTE has worked with VMware over the years to get systems qualified with ESXi, which is the virtualized server.
In the early days of virtual servers, they were not able to virtualize all components of a server, specifically GPUs and the recently developed DPUs. However, with the boom of AI and the importance of GPUs for AI and data science, NVIDIA created virtual GPU solutions that enable the server to create virtual machines from all the hardware using a hypervisor. This major step forward paved the way for the NVIDIA AI Enterprise suite.
AI-READY ENTERPRISE PLATFORM
NVIDIA AI Enterprise
NVIDIA AI Enterprise is an end-to-end, cloud-native suite of AI and data science applications and frameworks. This suite certifies that VMware vSphere will work with NVIDIA-Certified Systems. Support for Tanzu will be coming soon. GIGABYTE has worked with NVIDIA along the way to have server hardware certified. Now, a complete package of hardware and software can manage and scale AI workloads.
Benefits of NVIDIA AI Enterprise with VMware and GIGABYTE:
- Confident and rapid deployment, marrying hardware and software
- Simplify management and seamlessly deploy in existing environments
- bare-metal performance for AI with enterprise-grade features
- High availability with easy to maintain infrastructure for scaling up or down
R282-Z93: (NVIDIA-Certified Systems and VMware Compatible)