SOLUTION BRIEF

C4ISR Through Next Generation Artificial Intelligence
More Efficient Data Utilization for Improved Insights

Challenge• Modern ISR collection uses a variety ofdisparate data sources across multiple
domains including high-resolution
images or other large files• Data has a shelf life – insights must bederived from the most recent data
available• The sheer volume of data collected
makes it challenging to find the most
relevant information• Speed to answer is critical to achieving
information advantageSolution• Computer vision that can accommodate
full resolution images• High-performance NLP to help identify
the most relevant information• Greater performance with larger datafor improved accuracy• Balance between compute, data, andnetworking improves performance andoutcomesIntelligence, Surveillance, and Reconnaissance (ISR) is a
critical component to global vigilance, and a technologicaladvantage to the US and its allies. ISR enables greater
situational awareness, accelerates decision making, andimproves the likelihood of mission success. This capability
has become even more critical in the new Joint All Domain
Command and Control (JADC2) framework the DoD isimplementing. Key to winning in this environment is theability to gather, process, and exploit information faster toenable better decision making.
Successful utilization of ISR data in this new great power conflict
will come from several aspects:
1. The ability to process enormous datasets and run complex models
at speeds that optimize the value of the information gathered
2. Fully utilizing this data by maintaining high resolution integrity andelements such as 3D imagery that enable proximity calculations for
precision tactical analysis
3. Improving the process of information classification and the abilityto share it across all operators

Key Benefits• Make better decisions faster• Utilize true resolution image content– greater than 4k by 4k with nodownsizing or tiling• 3D image and sensor data analysis• Improved accuracy and betteroutcomes• Deep learning optimizes the utility ofunstructured data
• Accelerates NLP to help find the rightinformation• Mitigates the challenges presented byagency-specific jargon or lexicons• Avoid out-of-memory errors fromGPU infrastructure• Coexists with and compliments yourexisting AI infrastructure

Artificial Intelligence is key to achieving information dominance,
especially when high resolution ISR is a component. However,conventional AI architectural components, such as CPU andGPUs, were simply not engineered to manage the challenge
presented by the next generation of sensor data collection

for applications such as High-Resolution Computer Vision/Object Detection. Generation-to-generation
performance gains for multi-core processors have tapered off. As a result, developers can no longer
depend on traditional performance improvements to power more complex and sophisticated applications.

Rapid Management of Large Data Sets
SambaNova DataScale™ is revolutionizing how AI Models utilize data. Built on SambaNova Systems,DataScale is an integrated AI software and hardware accelerator, purpose-built for AI, that delivers unrivaled
performance, accuracy, scale, and ease of use. DataScale delivers efficiency with a software-definedhardware approach and a highly flexible modular architecture. DataScale can scale seamlessly from one tohundreds of systems to meet the demands of modern AI computing.

Increased Utility of Data Via High Resolution/3D Visibility
Higher-resolution image processing requires significant computational capabilities. So much so, in fact,that training models to use these high-resolution images has rendered current state-of-the-art technologies
unusable. Today, many conventional AI architectures attempt to find a balance between the requirements
for speed and the volume of data by lowering resolution, converting images to independent tiles which
deliver less accurate results, or trying to meet it with sheer GPU volume. These tradeoffs result in lower
resolution images, reduced details, and a loss of context.
In contrast, the SambaNova solution creates custom processing pipelines that allow data to flow throughthe complete computation graph. It uses a spatial programming model to optimize compute layout andminimize data movement to achieve high hardware utilization. The Sambanova DataScale solution, withpetaflops of performance and terabytes of memory can handle true resolution data, which is critical toaccuracy in object detection, segmentation problems, and image classification, from 4k up to 50k.

SambaNova High Performance AI			

Conventional GPU Systems

SambaNova DataScale® Solution:• Delivers computer vision that supports ultra-high resolution image content—greater than 4K by 4K
with no downsizing or tiling• Enhances your existing AI/ML Deep Learning infrastructure• Accelerates Natural Language Processing (NLP) to help find the right information• Large memory enables much larger deep learning models than GPUs

Ability to Utilize Actionable Insights Across Domains, Branches and Allies.
In addition to managing large datasets and optimizing the value of sensor data collected, the next
generation of ISR capability will need to factor in the human/machine interface for maximum utility.
NLP enables simplified data and input queries, by adding a level of intelligent interpretation to humanlanguage requests and directives. NLP will be critical in cross-domain operations to interpret agency
specific jargon, user sentiment or multi-lingual input. SambaNova enables organizations to use some ofthe largest language models, which can be deployed in weeks, not months or years. Using the latest
models provides greater accuracy, ultimately allowing analysts to focus on activities requiring higher-levelreasoning and judgment.

Surpassing the Limits of Conventional AI Architectures.
The future fight is going to happen at AI speed and will require new tools and capabilities. SambaNova
Systems uniquely optimizes data computations, memory and communications resulting in higher
performance at optimal efficiency across models of all sizes and forms, and for any batch size. SambaNova
can help the warfighter maintain our information advantage by overcoming challenges in collecting,analyzing, and sharing an exponential growth in data at machine speed.

SambaNova is Acceleratingand Transforming AI
To learn more about how SambaNova's
Dataflow-as-a-Service can help you achievecustom, next-generation AI solutions,schedule a meeting.

Learn more at SambaNova.ai
linkedin.com/company/sambanova@SambaNovaAI@SambaNovaAI

info@sambanova.ai

AI is here. With SambaNova, customers are deploying the power of AI and deep learning in weeks rather than years to meet the demands of the AI-enabledworld. SambaNova’s flagship offering, Dataflow-as-a-Service™, is a complete solution purpose-built for AI and deep learning that overcomes the limitations oflegacy technology to power the large and complex models that enable customers to discover new opportunities, unlock new revenue and boost operationalefficiency. Headquartered in Palo Alto, California, SambaNova Systems was founded in 2017 by industry luminaries, and hardware and software design experts
from Sun/Oracle and Stanford University. Investors include SoftBank Vision Fund 2, funds and accounts managed by BlackRock, Intel Capital, GV, WaldenInternational, Temasek, GIC, Redline Capital, Atlantic Bridge Ventures, Celesta, and several others. For more information, please visit us at sambanova.ai orcontact us at info@sambanova.ai. Follow SambaNova Systems on LinkedIn.

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