Tag Archives: cloud servers

Hitachi Vantara : 2020 HCI Portfolio Updates Revealed!

Hitachi Vantara : 2020 HCI Portfolio Updates Revealed!

Hitachi Vantara just unveiled their 2020 HCI (Hyperconverged Infrastructure) portfolio, with updates to the Hitachi Unified Compute Platform (UCP). Here are the details…

 

Hitachi Vantara : 2020 HCI Portfolio Updates

Hitachi Vantara today unveiled their 2020 HCI (Hyperconverged Infrastructure) portfolio, featuring updates to Hitachi UCP HC and Hitachi UCP RS.

  • Faster provisioning with new Hitachi UCP Advisor
  • Certified support for SAP HANA workloads
  • New Intel Cascade Lake Xenon Refresh processors for increased performance
  • Enhanced lifecycle management capabilities for non-disruptive upgrades

The updated 2020 Hitachi Vantara HCI solutions unify cloud infrastructure management with interoperability across their customer’s environments, whether they are using traditional storage, HCI-powered hybrid clouds or public clouds.

These new HCI offerings include a scalable and simplified foundation for hybrid clouds, allowing customers to rapidly scale-out, when increased datacenter resources are required.

Unified Cloud Management

Customers have the flexibility to build a cloud infrastructure with seamless workload and data mobility across on-premises and public cloud environments.

Hitachi UCP Advisor accelerates provisioning up to 80% faster compared to previous HCI management tools and reduces management complexity across the environment.

Scalable Performance

Greater performance, scale and density support IT departments’ ability to rapidly scale data center resources for business-critical applications and lower operational overhead for better TCO.

The updated HCI platforms provide certified support for SAP HANA workloads on HCI. Intel Cascade Lake Refresh Xeon processors increase performance for workload consolidation while avoiding resource contention issues.

Hitachi HCI solutions help reduce CapEx and OpEx overhead with advanced automation and data efficiency technologies.

Simplified Consumption

Everflex from Hitachi Vantara provides simple, elastic and comprehensive acquisition choices for the entire Hitachi Vantara portfolio, including the UCP Family, with consumption-based pricing models that align IT spend with business use and help lower costs by up to 20% with pay-as-you-go pricing.

Customers can also accelerate time to production with pre-validated and optimized bundles and starter packs, including solutions enabling remote work.

 

2020 Hitachi Vantara HCI Portfolio : Availability

The 2020 Hitachi Unified Compute Platform HC and Hitachi Unified Compute Platform RS are available from Hitachi Vantara and their global network of business partners, with immediate effect.

 

Recommended Reading

Go Back To > Business + Enterprise | Home

 

Support Tech ARP!

If you like our work, you can help support us by visiting our sponsors, participating in the Tech ARP Forums, or even donating to our fund. Any help you can render is greatly appreciated!


Google Cloud Confidential VM With 2nd Gen AMD EPYC!

Google recently introduced Confidential Computing, with Confidential VM as the first product, and it’s powered by 2nd Gen AMD EPYC!

Here’s an overview of Confidential Computing and Confidential VM, and how they leverage the 2nd Gen AMD EPYC processor!

 

Google Cloud Confidential Computing : What Is It?

Google Cloud encrypts customer data while it’s “at-rest” and “in-transit“. But that data must be decrypted because it can be processed.

Confidential Computing addresses that problem by encrypting data in-use – while it’s being processed. This ensures that data is kept encrypted while in memory and outside the CPU.

 

Google Cloud Confidential VM, Powered By 2nd Gen AMD EPYC

The first product that Google is unveiling under its Confidential Computing portfolio is Confidential VM, now in beta.

Confidential VM basically adds memory encryption to the existing suite of isolation and sandboxing techniques Google Cloud uses to keep their virtual machines secure and isolated.

This will help customers, especially those in regulated industries, to better protect sensitive data by further isolating their workloads in the cloud.

Google Cloud Confidential VM : Key Features

Powered By 2nd Gen AMD EPYC

Google Cloud Confidential VM runs on N2D series virtual machines powered by the 2nd Gen AMD EPYC processors.

It leverages the Secure Encrypted Virtualisation (SEV) feature in 2nd Gen AMD EPYC processors to keep VM memory encrypted with a dedicated per-VM instance key.

These keys are generated and managed by the AMD Secure Processor inside the EPYC processor, during VM creation and reside only inside the VM – making them inaccessible to Google, or any other virtual machines running on the host.

Your data will stay encrypted while it’s being used, indexed, queried, or trained on. Encryption keys are generated in hardware, per virtual machine and are not exportable.

Confidential VM Performance

Google Cloud worked together with the AMD Cloud Solution team to minimise the performance impact of memory encryption on workloads.

They added support for new OSS drivers (name and gvnic) to handle storage traffic and network traffic with higher throughput than older protocols, thus ensuring that Confidential VM will perform almost as fast as non-confidential VM.

Easy Transition

According to Google, transitioning to Confidential VM is easy – all Google Cloud Platform (GCP) workloads can readily run as a Confidential VM whenever you want to.

Available OS Images

In addition to the hardware-based inline memory encryption, Google built Confidential VM on top of Shielded VM, to harden your OS image and verify the integrity of your firmware, kernel binaries and drivers.

Google currently offers images of Ubuntu v18.094, Ubuntu 20.04, Container Optimized OS (COS v81), and RHEL 8.2.

They are currently working with CentOS, Debian and other distributors to offer additional OS images for Confidential VM.

 

Recommended Reading

Go Back To > Computer | BusinessHome

 

Support Tech ARP!

If you like our work, you can help support our work by visiting our sponsors, participating in the Tech ARP Forums, or even donating to our fund. Any help you can render is greatly appreciated!


NTT To Build 5th Data Centre In Cyberjaya, Malaysia!

NTT Limited just announced that they will construct their 5th data centre at the NTT Cyberjaya Campus in Malaysia!

Here are the details…

 

NTT To Build 5th Data Centre In Cyberjaya, Malaysia

As part of their expansion plans, NTT will build their fifth data centre at their Cyberjaya campus in Malaysia. This Tier-4 ready, compact and modular data centre, called CBJ5, is scheduled to be complete in 2020.

Once it comes online, NTT says that it will provide their clients with “a flexible and scalable power and cooling solution coupled with an industry leading Service Level Agreement (SLA) that is the first of its kind in Malaysia.

This announcement comes after Malaysia’s Budget 2020 was tabled, with a focus on driving economic growth through digital transformation. There will be additional grants and incentives for organisations to digitally transform their businesses.

As such, NTT believes there will be increased demand for their services, which CBJ5 will be ready to fulfil.

“CBJ5 is designed to meet the requirements of hyperscalers and high-end enterprises, especially those that require solid power management capabilities. CBJ5 is able to accommodate progressive power increments and cooling of up to 10kW/rack. This is revolutionary as it will allow our clients to maximize the power resources in their chosen data center,” said Henrick Choo, CEO, Malaysia for NTT Ltd.

 

NTT Data Centre Capabilities

With CBJ5, NTT aims to become the leading Digital Infrastructure Provider in Malaysia, attracting both domestic and global traffic into its carrier-neutral data centre campus that also includes NTT’s global Tier-1 IP network, Multi-Cloud Connect platform and domestic Internet Exchange.

The NTT Cyberjaya Campus  features a high-density fibre network facilitating inter-connection among our clients to create a digital supply chain ecosystem.

Bank Negara Malaysia recently announced a set of guidelines defining Risk Management in Technology (RMiT) for financial institutions, meaning security becomes a crucial consideration as they are now responsible for the safety of the bank’s information infrastructure, systems and data.

NTT will address these new requirements by working together with financial institutions, so they are able to comply to BNM’s guideline. Henrick also stated that security will be heightened as the company grows.

“NTT’s physical data center access control will be increased to safeguard all data center blocks within the NTT Cyberjaya Campus. We will also be introducing smart security technology integrating Visitor Management Systems with facial recognition technology. Essentially, we will double our security cover with the two combined,” he added.

NTT clients are able to choose from multiple architectures from on-premise, to cloud and even multi-cloud. All solutions will come with managed security solutions to offer data protection while minimising business disruptions.

 

Recommended Reading

Go Back To > Enterprise + Business | Home

 

Support Tech ARP!

If you like our work, you can help support our work by visiting our sponsors, participating in the Tech ARP Forums, or even donating to our fund. Any help you can render is greatly appreciated!


DiDi Adopts NVIDIA AI + GPUs For Self-Driving Cars!

At GTC China 2019, DiDi announced that they will adopt NVIDIA GPUs and AI technologies to develop self-driving cars, as well as their cloud computing solutions.

 

DiDi Adopts NVIDIA AI + GPUs For Self-Driving Cars!

This announcement comes after DiDi spliced out their autonomous driving unit as an independent company in August 2019.

In their announcement, DiDi confirmed that they will use NVIDIA technologies in both their data centres and onboard their self-driving cars :

  • NVIDIA GPUs will be used to train machine learning algorithms in the data center
  • NVIDIA DRIVE will be used for inference in their Level 4 self-driving cars

NVIDIA DRIVE will fuse data from all types of sensors – cameras, LIDAR, radar, etc – and use numerous deep neural networks (DNNs) to understand the surrounding area, so the self-driving car can plan a safe way forward.

Those DNNs (deep neural networks) will require prior training using NVIDIA GPU data centre servers, and machine learning algorithms.

Recommended : NVIDIA DRIVE AGX Orin for Autonomous Vehicles Revealed!

 

DiDi Cloud Computing Will Use NVIDIA Tech Too

DiDi also announced that DiDi Cloud will adopt and launch new vGPU (virtual GPU) cloud servers based on NVIDIA GPUs.

The new vGPU licence mode will offer more affordable and flexible GPU cloud computing services for remote computing, rendering and gaming.

 

Recommended Reading

Go Back To > Automotive | Business | Home

 

Support Tech ARP!

If you like our work, you can help support our work by visiting our sponsors, participating in the Tech ARP Forums, or even donating to our fund. Any help you can render is greatly appreciated!


3rd Gen X-Dragon Architecture by Alibaba Cloud Explained!

At the Apsara Conference 2019, Alibaba Cloud announced that they will be introducing the 3rd Gen X-Dragon Architecture for their cloud servers!

Here is a quick PRIMER on the new 3rd Gen X-Dragon Architecture!

 

What Is X-Dragon?

X-DragonShenlong in Chinese – is a proprietary bare metal server architecture developed by Alibaba Cloud for their cloud computing requirements.

Built around a custom X-Dragon MOC card, it delivers what Alibaba Cloud calls Elastic Compute Service (ECS) capability in a bare metal server.

The ECS bare metal instances it offers combine the benefits of bare metal servers, and virtual machines.

For example, it offers direct access to CPU and RAM resources without virtualisation overheads that bare metal servers offer, with the instant deployment and image migration capabilities of virtual machines.

The downsides? ECS bare metal instances, once deployed, cannot be upgraded or downgraded. In addition, if there is a hardware failure, a failover occurs and the data remains stored in the instance’s storage drives.

 

What’s New In The 3rd Gen X-Dragon Architecture?

Basically – SPEED.

[adrotate group=”2″]

According to Alibaba Cloud, the 3rd Gen X-Dragon architecture is able to increase Queries Per Second (QPS) by 30% and decrease latency by 60% in e-commerce scenarios.

In tandem, they also announced the 6th Gen ECS instance, which delivers a 20% boost in computing power, a 30% reduction in memory latency, and a 70% reduction in storage IO latency.

Not new, but also important is the fact that because it is cloud-native by design, it eliminates power wastage from idle bare metal servers. Alibaba Cloud claims that alone reduces the unit computing cost by 50%.

 

3rd Gen X-Dragon Architecture Availability

Alibaba Cloud will start rolling out the 3rd Gen X-Dragon architecture upgrade to millions of their cloud servers around the world from 2020 onwards.

 

Recommended Reading

Go Back To > Business + EnterpriseComputer | Home

Support Tech ARP!

If you like our work, you can help support our work by visiting our sponsors, participating in the Tech ARP Forums, or even donating to our fund. Any help you can render is greatly appreciated!