Accelerate Your Journey to AI with NetApp and NVIDIA
Visionaries in virtually all industries are looking for ways to apply artificial intelligence (AI) to enable new customer touchpoints, reinvent the customer experience, drive business value—and even change the world. Of the many AI use cases in development, here are a few we’re focused on:
- Digital health. The intersection of data from wearable devices, mobile connectivity, and AI is ushering in an era where healthcare is more personalized, more efficient, and less expensive.
- Automotive. Although autonomous driving gets all the attention, automotive companies also plan to use data from connected cars to improve design, safety, and efficiency.
- Consumer electronics. Leading companies aren’t just adding AI to existing products, they’re looking to change the way they innovate and they’re focusing on integration and collaboration.
Unfortunately, many organizations still underestimate how much AI depends on an ability to marshal and manage vast quantities of data. To help put your deep learning projects on a path to achieve real business impact, NetApp is today announcing NetApp ONTAP AI proven architecture. Powered by NVIDIA DGX supercomputers and NetApp all-flash storage, ONTAP AI lets you simplify, accelerate, and scale the data pipeline needed for AI to gain deeper understanding in less time.
For example, adding a few sensors to an asthma inhaler opens a huge opportunity to correlate usage and location information among patients. In the United States alone there are 25 million asthma sufferers—that’s 1 in every 13 people. Combining patient data with information on weather, air quality, pollen counts, and so on in real time can help patients avoid potential triggers, thereby minimizing risk and improving overall health. Cambridge Consultants, a NetApp customer and AI partner, is exploring the potential of smart inhalers using the same NVIDIA and NetApp technologies in ONTAP AI.
The smart inhaler example is a good model for thinking about the requirements of AI at scale. Data flows from thousands of devices at the edge. That data is combined with outside data sets during training in a core on-premises data center with GPU acceleration. The resulting inference model is deployed in the cloud to analyze new data points and identify and act on trigger events.
A bottleneck at any point idles expensive infrastructure, increases costs, and data scientists waste valuable time troubleshooting infrastructure and waiting for results. That alone is bad enough, but in the smart inhaler example and many other use cases, bottlenecks also put outcomes at risk: it does a patient little good to find out about a trigger event after they’ve had an attack.
ONTAP AI is designed to address AI bottlenecks wherever they occur. NVIDIA and NetApp technologies eliminate performance issues and enable secure, non-disruptive data access, delivering AI performance at scale. The NetApp Data Fabric enables you to integrate diverse, dynamic, and distributed data sources with complete control and protection.
With ONTAP AI you can:
- Build an integrated data pipeline from edge to core to cloud, enabling data-driven decisions for better business outcomes
- Simplify deployment of AI infrastructure to speed innovation with a pre-validated and tested architecture
- Deliver the performance and scalability your business needs for the most demanding AI and deep-learning applications
Only the proven architecture of ONTAP AI, fueled by a data pipeline from edge to core to cloud, delivers an integrated, simple, and high-performance solution to capitalize on the full promise of AI. I’ve talked with a number of joint NetApp and NVIDIA partners and they’re excited to bring ONTAP AI to customers.
If you’ve been delaying AI projects because the barriers to entry were too high, the time is now. With ONTAP AI you can start small, deploy fast, and scale easily as projects move from pilot to production. NetApp, NVIDIA, and a dedicated team of resellers and integrators are here to help, including: Groupware Technology, ePlus, World Wide Technology (WWT), Integrated Archive Systems (IAS), Enterprise Vision Technologies (EVT), Trace3, and Scan Computers UK.
- Enterprise Business Development Director
- Up to £80,000 + Uncapped OTE
Our client, a Global Managed Service Provider, is seeking an Enterprise Business Development Director who will be responsible for scoping, identifying, creating and driving revenue growth across Europe and Asia at C level in the enterprise market. The Enterprise Business Development Director will need: Experienced in selling high value (multimillion) Managed Services and SDWAN to large enterprise parties· Have the ability to scope, identify and sell high value and complex managed solutions Extensive experience of commercial principles and contract negotiations with new global clients. Consistency of tenure in current and recent job roles Managing presentations, negotiations, and responsible for development/nurturing of the client relationship. Reference Number: BD7371
- Technical Design Authority (Telecoms, SDWAN, IOT, WAN, Hosted Services)
- Up to €90,000 plus car, bonus and benefits
Location: Frankfurt Technical design Authority is required to help lead a number of key client Migrations projects for this tier 1 Telecom company, the main role for the TDA is helping customers migrate to new services, with a focusing on hosting (AWS, Azure) SWWAN and IOT. You will be responsible for: Post sales design documentation, implementation and migration of complex solutions for managed enterprise customers. Complex solutions consist of multi-product services. The TDA’s role is to ensure that these services interoperate and integrate into the customer environment. Such products consist of but not limited to MPLS, Ethernet, IPSec VPN’s, VoIP, Video Conferencing, Wireless, Internet, Private DSL, WAN Optimization, Managed Security Services, Managed Hosting, SDWAN and Complex Migration Planning. The TDA will own the technical delivery of customer solutions and will be the technical interface between the customer, product teams and project management during service delivery. Close engagement with pre-sales, technically validating solutions proposed are deliverable and all technical aspects are clearly defined prior to contract signature. The TDA accepts technical ownership of the solution at the point of contract signature. Lead customer facing technical workshops requiring excellent communication with the ability to articulate technical concepts clearly to all levels of competency. Providing support to 3rd line teams for OEM and design related faults. You will need to be at CCIE level (ideally CCIE R&S or SP ) with strong low level design and deployment skills, comfortable in front of customers and leading customer meeting. Fluent German is required. Knowledge in SDWAN and Hosted services would be advantageous. Reference: RA7302
- Big Data Architect
- £70,000 + Benefits
A Big Data Architect is required for a leading Google Cloud partner. The Big Data Architect will be responsible for advising external customers(FTSE100) on Big data storage and transformation requirements on the Google Cloud platform. You will get the chance to be at the forefront of technology, regularly involved with Google Alpha tests – You will be shaping the future of google tech. Experience required; Public Cloud Architecture – Ideally Google but will consider people with an Azure or AWS background who are looking to move into GCP. Experience with Big Enterprise Data – Set ups, Flows, Pipelines etc. Strong SQL understanding – DataBase, Data Residency. Candidates must be based and eligible to work in the UK without sponsorship as our client do not have the ability to sponsor. Reference Number: PG7347
- NetIQ Consultant (Contract)
- £600 Per Day
A NetIQ Consultant is needed for a 6 month engagement in London. The NetIQ Consultant will be responsible for Designing, Configuring & Implementing Micro Focus Operations Centre & eDirectory Solutions. Required skills and experience Current experience with Micro Focus Operations Centre & eDirectory. SC Clearance is needed due to the nature of work. Reference Number: CH7363