Artificial Intelligence Solutions

Artificial Intelligence Solutions

“Over the next few years, we are about to witness the world we live in entirely disrupted by improvements in artificial intelligence (AI). As the voice and facial recognition continue to evolve, machine learning algorithms are getting smarter. More and more industries are being influenced by AI, and our society as we know it is transforming.”

Artificial intelligence is revolutionizing industries like Healthcare, Manufacturing, Media, Agriculture, and Aerospace. It helps industries to improve their Productivity, Efficiency and Proactive services making it more customer centric and hence increasing customer satisfaction thereby leading to increase their ROI.

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Futurenet Technologies & Artificial intelligence
AI/DL Labs
  • We help higher educational institutions build Centre’s of Excellence by adopting cutting edge hardware to setup AI labs for learning and Research.
Training and development
  • Creating Technology awareness on Machine Learning and Deep Learning
  • Nvidia DLI training
  • Creating a network between educational institutions and AI Startups in India to make students aware of technology and AI products in the market
Consulting and Support
  • Provide Consulting and supporting services to Industries (Health Care, Finance, Media, manufacturing etc.,) in order to adopt AI technologies

AI in Industries

AI brings a competitive advantage to business

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Higher Education and Research
  • Handle large workloads, increase efficiency, and lower operational costs with centralized infrastructure and computational excellence.
  • Clear the path to discovery with tools that accelerate exploration, experimentation, and deployment. With GPU-accelerated AI and high- performance computing (HPC), researchers can leverage modeling, simulation, and experimental data to tackle the biggest challenges.
  • Equip students with critical AI and HPC skills to further their career development. Enable educational institutions with training and infrastructure solutions to foster the next generation of research.
Higher Education and Research Developer Resources
  • Teaching Kits: NVIDIA Deep Learning Institute (DLI) Teaching Kits provide qualified educators with complete course solutions in deep learning, accelerated computing, and robotics. Bridge academic theory with real-world applications to empower next- generation innovators with critical AI skill sets.
  • Certified Instructor Program: Experienced educators can get certified as Deep Learning Ambassadors and deliver hands-on DLI workshops to university faculty, students, and researchers at no cost.
  • EDU Kits and Preferred Pricing: To better enable faculty, students, and researchers, NVIDIA makes state-of-the- art computing platforms accessible to academia to enable next GPU- accelerated apps, services, and algorithms.
  • Jetson Community Project Explore and learn from Jetson projects created by us and our community. These projects have been built for Jetson Nano, Jetson Xavier NX, Jetson TX2, and Jetson AGX Xavier.
AI in Health care
  • Healthcare demands new computing paradigms to meet the need for personalized medicine, next-generation clinics, enhanced quality of care, and breakthroughs in biomedical research to treat disease.
  • With NVIDIA, healthcare institutions can harness the power of artificial intelligence and high- performance computing (HPC) to define the future of medicine.
    1. Genomic
    2. Drug Discovery
    3. Medical Imaging
    4. Smart Hospitals and Medical Intruments
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AI in Manufacturing
  • Human-Robot collaboration- Using of robot to automate boring and repetitive tasks give more space to humans to work on complex and innovative tasks.
  • Industry 4.0- the machineries have connected with each other through smart devices which generates lot of data. These data can be used to create AI solution for proactive and predictive maintenance and analysis.
  • Adapting ever changing market- supply chains and predicting market changes which gives competitive edge.
AI in Finance
  • Risk Management – Algorithm analyze the history of risk cases and identifies early signs of potential future issues.
  • Trading – Algorithm uses both structured (DB, spreadsheets) and Unstructured (social media, news) data to predict stock performance.
  • Personalized banking- In banking sector AI powered chatbots helps provide comprehensive self-help solution which reduces the workload of call centers.
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AI in Media and Entertainment
  • Marketing and Advertising - ROI analysis on marketing campaigns using video analytics.
  • Personalized services – User behavior analysis and recommending contents based on the viewing and search history.
  • Experience innovation- With machine learning algorithms and computer vision technologies, lot of innovation is done in Virtual reality (VR) and Augment reality (AR).

As Nvidia preferred partner Futurenet provides all Nvidia AI specific cutting-edge Hardware and Software solutions.

How Futurenet Technologies helps in Artificial intelligence?

  • Creating Technology awareness on Machine Learning and Deep Learning
  • Helping higher educational institutions build Centre’s of Excellence by adopting cutting edge hardware to setting up AI labs for learning and Reasearch
  • Providing hardware solutions to startups according to their unique requirements.
  • Creating a network between educational institutions and AI Startups in India to make students aware of technology and AI products in the market
  • Nvidia DLI training
  • Consulting and supporting Industries (Health Care, Finance, Media, Manufacturing,) to adopt AI technologies
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Nvidia DGX Family

  • Purpose built AI hardware and software integrated systems for unique needs of different users.
  • All AI frameworks available with Nvidia docker containers.
  • Optimized for Deep learning frameworks and Architectures.
  • Nvidia guidance and Support.
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Nvidia DGX
DGX vs Do it Yourself
DGX Station

Designed for your data science teams, NVIDIA® DGX Station™ is the world’s fastest workstation for leading-edge AI development. This fully integrated and optimized system enables your team to get started faster and effortlessly experiment with the power of a data center in your office.

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ADVANTAGES OF DGX PLATFORM

  • NVIDIA-Optimized AI Software
  • Seamless Upgrades
  • Fast Time to Performance
  • Performance Improves Over Time
  • Plug and play: So easy to get started and use.
  • Continuous update for Optimized AI framework in NGC.






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NVIDIA DGX STATION A100

Features:

  • Workgroup server for the age of AI Designed for multiple, simultaneous users and all AI workloads.
  • Datacenter performance without the data center server-grade system that doesn't require data center power and cooling needs just two cables to operate.
  • An AI appliance you can place anywhere install in office, lab, or even home, no additional IT support or investment necessary.
  • Bigger models, faster answers the world's only workstation with four fully interconnected data center NVIDIA A100 GP.
  • DGX Station A100 is the only workstation-style system that supports MIG. Each A100 GPU can be sliced Up To 7 GPU Instances In a Single A100, multiple users can use the DGX A100 station simultaneously with MIG configured.
  • Run multiple workloads AI Training, AI inference, Data analytics, and HPC simultaneously.

Specifications:

  • 4 NVIDIA Tesla V100 "Volta" GPUs with NVLink 2.0 links
  • 20,480 NVIDIA CUDA cores, total
  • 2,560 NVIDIA Tensor cores, total
  • Total of 128GB high-bandwidth GPU memory
  • 480 TFLOPS FP16 half-precision performance
  • NVIDIA-certified & supported software stack for Deep Learning workloads
  • One 20-core Intel Xeon E5-2698v4 CPU
  • 256GB DDR4 System Memory
  • Dual X540 10GbE Ethernet ports (10GBase-T RJ45 ports)
  • Four 1.92TB SSD (one for OS and three in RAID0 for high-speed cache)
  • Quiet, liquid-cooled tower form factor (<35dB for office use)
  • Power Consumption: 1500W at full load (for standard office electrical outlet)
  • Ubuntu Desktop Linux operating system

NVIDIA DGX SERVER A100

Features:

  • New NVIDIA A100 "Ampere" GPU architecture: built for dramatic gains in AI training, AI inference, and HPC performance
  • Up to 5 PFLOPS of AI Performance per DGX A100 system
  • Increased NVLink Bandwidth (600GB/s per NVIDIA A100 GPU): Each GPU now supports 12 NVIDIA NVLink bricks for up to 600GB/sec of total bandwidth
  • Up to 10X the training and 56X the inference performance per system
  • Multi Instance GPU: partition your NVIDIA A100 GPUs into slices for individual users or ideally sized segments for particular applications. Use Multi Instance GPU to share your DGX A100 deployment across a much larger pool of users, all with increased security (full isolation).
  • Futurenet Deployment service

Specifications:

  • 8 NVIDIA A100 "Ampere" GPUs, each with 40GB of HBM2 GPU memory
  • Up to 5 PFLOPS of AI performance
  • Total of 320GB of high-bandwidth GPU memory, interconnected with NVSwitch technology
  • Two AMD EPYC 7002 Series 64-core CPUs
  • 1TB DDR4 System Memory
  • Eight 200Gbps HDR InfiniBand Adapters
  • Additional 200Gb HDR InfiniBand Adapter for connection to storage
  • 15TB of NVMe storage
  • 6U Rackmount Form Factor
  • Redundant, Hot-Swap power supplies
  • Power Consumption: 6.5kW at full load
  • Ubuntu Server Linux operating system






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NVIDIA DGX POD

  • DGX POD is reference term for building AI infrastructure with all high end storage and networking needs. A scalable infrastructure for AI leadership.
  • It start with a single DGX A100, Flash storage and high speed networking in modular rack to completely scalable state of the art AI infrastructure with multiple DGX A100 and storage cluster
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Jetson Nano
  • NVIDIA Jetson Nano Developer Kit is a small, powerful computer that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. All in an easy-to-use platform that runs in as little as 5 watts. The power of modern AI is now available for makers, learners, and embedded developers
Jetson TX 1 Module
  • The world's first supercomputer on a module, Jetson TX1 is capable of delivering the performance and power efficiency needed for the latest visual computing applications. It's built around the revolutionary NVIDIA Maxwell architecture with 256 CUDA cores delivering over 1 TeraFLOPs of performance. 64-bit CPUs, 4K video encode and decode capabilities, and a camera interface capable of 1400 MPix/s make this the best system for embedded deep learning, computer vision, graphics, and GPU computing.
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Jetson NX Xavier developer kit and module
  • The NVIDIA Jetson Xavier NX Developer Kit brings supercomputer performance to the edge. It includes a Jetson Xavier NX module for developing multi-modal AI applications with the NVIDIA software stack in as little as 10 W. You can also now take advantage of cloud-native support to more easily develop and deploy AI software to edge devices..
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Jetson AGX Xavier developer kit and module
  • With the NVIDIA Jetson AGX Xavier developer kit, you can easily create and deploy end-to-end AI robotics applications for manufacturing, delivery, retail, smart cities, and more. Supported by NVIDIA JetPack and DeepStream SDKs, as well as CUDA, cuDNN, and TensorRT software libraries, the kit provides all the tools you need to get started right away. And because it's powered by the new NVIDIA Xavier processor, you now have more than 20X the performance and 10X the energy efficiency of its predecessor, the NVIDIA Jetson TX2. Get started today with the Jetson AGX Xavier Developer Kit.


NVIDIA CUDA-X AI is a complete deep learning software stack for researchers and software developers to build high performance GPU-accelerated applications for conversational AI, recommendation systems and computer vision. CUDA-X AI libraries deliver world leading performance for both training and inference across industry benchmarks such as MLPerf.




NGC

NGC is the hub for GPU-optimized software for deep learning, machine learning, and high-performance computing (HPC) that takes care of all the plumbing so data scientists, developers, and researchers can focus on building solutions, gathering insights, and delivering business value.


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