Infortrend | May 31, 2022
Infortrend Technology, Inc., a market-leading enterprise storage supplier, has enhanced EonStor GS U.2, an enterprise scale-out unified storage system with U.2 NVMe SSD. It provides block and file-level scale-out extensibility to boost capacity and performance as storage requirements rise.
The EonStor GS (GS) unified SAN/NAS storage is intended for a variety of corporate applications such as database, virtualization, video post-production, and file sharing. It provides excellent capacity and performance in a variety of ways. Users can begin with one GS and add other GS as required to establish a cluster with up to four appliances through scale-out. GS supports the common ultra-fast U.2 SSD and boosts performance up to 1000K IOPS and 22GB/s per appliance to improve data processing with high IOPS and low latency.
GS offers a single namespace for CIFS and NFS user access from Windows, Linux, and macOS. IT administration can be simplified even further with auto-balancing, which ensures that data is stored equitably on each GS in a cluster. IT personnel may save money by expanding all-flash U.2 GS with HDD JBOD and letting the auto-tiering technology move 'hot' and 'cold' data between high-performance SSD and cost-effective HDD.
For forward-looking enterprises seeking a competitive and cost-saving solution, we updated GS unified storage with support of scale-out expandability and U.2 SSD. Users can connect several GS into a cluster with optimized load balancing, increased I/Os, and tight data protection."
Frank Lee, Senior Director of Product Planning
Infortrend has revamped its 2022 Reseller Partnership Program to assist partners in increasing expertise and profitability. Partners enjoy special benefits like deal registration with price protection, access to demo machines, and much more.
Mavenir | May 30, 2022
Mavenir, the network software company transforming the way the world connects by contributing to the growth of networks with cloud-native software that runs on any cloud, today announced that it has won the SCF Small Cell Awards 2022 for Significant Contributions to Emerging Technology or Architecture for its design and delivery of the first fully containerized small cell Open Virtualized Radio Access Network (Open vRAN) for indoor and outdoor connectivity.
Mavenir's containerized Open vRAN solution is the first of its type, combining Open RAN compatibility with container mobility and flexibility. This small cell solution applies the same forward-thinking ideas that have had substantial benefits in macro networks to small cell networks.
The adoption of a containerized solution is an important step in the development of connectivity, as it shifts away from physical infrastructure and toward a digital cloud-based environment. Containers advance virtualization by enabling network workloads to operate anywhere: on-premise, private cloud, or public cloud. The same solution may be readily migrated to a new platform with no modifications, resulting in the optimum resource usage at the best pricing. Containerization gives more flexibility while also providing considerable advantages in terms of deployment time and cost. Moving network operations to a new platform takes just minutes.
The combination of Open RAN with containerization in a single architecture results in:
By reducing the profitability barrier for small cell installations, new income sources are created.
more task management flexibility
increased supplier pool and promotion of innovation
“The judges were excited by this solution because it has combined two important technologies in a way that contributes to a key goal for operators – fully distributed load and traffic management. This will be very important for making virtualized small cell networks scalable and efficient.”
Caroline Gabriel, Rethink Technology Research
Vultr | May 27, 2022
Vultr, a leading independent cloud infrastructure provider, announced today that Vultr Talon, powered by NVIDIA GPUs and NVIDIA AI Enterprise software, is currently in beta. Vultr Talon, a ground-breaking cloud-based platform, enables GPU sharing, allowing several workloads to execute effectively on a single NVIDIA GPU.
Vultr is the first cloud service to provide GPU sharing by virtualizing NVIDIA A100 Tensor Core GPUs. Vultr is launching a set of virtual machine (VM) packages incorporating the NVIDIA A100 today, with prices beginning at $90 per month, or $0.13 per hour.
Breakthrough Cloud Platform Enabling AI Workloads at a Fraction of the Cost
Vultr Talon is powered by a cutting-edge NVIDIA GPU virtualization technology based on NVIDIA's vGPU software. Rather than connecting whole real GPUs to VMs, Vultr adds just a portion in the form of a virtual GPU (vGPU). The NVIDIA AI Enterprise software package, which incorporates NVIDIA vGPU software and is geared for remotely performing AI workloads and high-performance data analytics, powers these vGPUs.
A vGPU appears to a customer's system just like an actual GPU. Each vGPU has its own devoted memory, which is a fraction of the memory on the underlying card. The vGPU has access to a fraction of the computing capacity of the actual GPU. NVIDIA's Multi-Instance GPU (MIG) technology is utilized for Vultr plans with at least 10GB of GPU RAM to give tenants with assured QoS, completely isolated GPU high-bandwidth memory cache, and dedicated compute cores.
High-end GPUs can cost hundreds of dollars per month to rent. While this cost is often justified for the most demanding corporate workloads, for many enterprises and developers, the cost of even a single GPU might be prohibitive to getting started, experimenting, or running apps in development and testing environments. Even organizations with large IT budgets may wind up losing money by supplying more GPU capacity than required or just electing not to use GPUs at all.
At Vultr, we pride ourselves on making high-performance cloud infrastructure affordable for everyone. With Vultr Talon, we have turned the GPU delivery model upside down. Because of our breakthrough cloud platform, AI developers and data scientists can provision exactly as much NVIDIA GPU processing as they actually need, at prices they can afford.”
J.J. Kardwell, CEO of Vultr’s parent company,