AI Compute Costs: Cut by 68% with NeurochainAI

Today enterprises are racing to adopt GenAI to stay ahead of the competition and optimize processes to supercharge performance and slash costs of their business. However, the steep prices of AI compute infrastructure turn many of the GenAI solutions not feasible cost-wise.

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Cutting Down AI Inference Costs by up to 68%

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At NeurochainAI, we specialize in providing turnkey GenAI infrastructure optimization solutions for enterprises, helping to reduce costs by up to 68%. Whether businesses want to manage their own infrastructure or prefer a fully managed service, we provide the tools, expertise, and infrastructure to support a wide range of AI needs. From idea to production and beyond. 

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NeurochainAI’s infrastructure includes: Inference DePIN, Data Layer, and Optimized AI models, see in the image below:

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Enterprise Solutions

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1. Existing Infrastructure Optimization Solution: Inference Routing Solution (IRS)

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The Inference Routing Solution (IRS) is a key offering for enterprises running their AI compute on Google Cloud, AWS, data centers, private infrastructure, or a combo of all. This solution optimizes monthly AI inference costs on 3 levels:

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1. AI Model Optimization (Quantization): Reduces the precision of numbers in neural networks without sacrificing accuracy, leading to smaller (yet as accurate), faster models that use less computational power.
2. IRS Software (P2P Load Balancer): A unique software combination of a load balancer and network orchestrator to monitor the availability of GPUs in relation to AI tasks and optimizes the assigning of all AI tasks to servers or virtual machines based on the optimal execution. It aso enables multiple AI models to run efficiently on a single GPU, reducing the total number of GPUs required, which dramatically lowers infrastructure costs.
3. Infrastructure Set-Up Analysis and Consultation: Due to the unique nature of IRS Software and its abilities, we review, analyze, and suggest ways to optimize the existing infrastructure composition.

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We can implement IRS software layer on top of your existing infrastructure in 2 ways:

1. Fully managed service where we perform the implementation of IRS on top of your infrastructure and provide maintenance and monitoring services.
2. Self-managed service where we provide end-points and instructions on how to run compute nodes and your team does the implementation.

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IRS is compatible with the most popular open-source AI models like Mistral, Vicuna, Llama, Flux1, and some smaller from the get-go. Model quantization and adaptation to IRS are available as add-on services.

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IRS operates on AI compute solutions as AWS, Google Cloud, Azure, your private infrastructure, data centers, and a combination of them all.

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Key Benefit: Up to 68% savings on AI infrastructure costs.

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2. Optimal Infra Set-Up And Management Solution: Managed Inference Infrastructure (MII)

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For businesses seeking a hassle-free solution, we offer a fully managed infrastructure service where NeurochainAI handles everything from infrastructure set-up and implementation to maintenance and monitoring:

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1. Infrastructure Selection & Setup: We identify the best infrastructure setup tailored to your specific AI needs and leverage the network of GPU providers and cloud compute partners to set up custom infrastructure for you.
2. Inference Routing Solution (IRS): We go through all the steps mentioned above to optimize your infrastructure with our unique IRS.
3. Complete Management: Once all is set up and running our team provides hands-on infrastructure management - giving businesses peace of mind knowing their AI systems are running optimally without needing in-house expertise.

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This fully managed service is ideal for enterprises looking for a managed infrastructure solution to save time and resources while accessing cutting-edge GenAI technology.

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Key Benefit: The most cost-efficient AI infrastructure is tailored to specific business needs and managed on a company’s behalf.

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Collaborations with top-tier GPU providers such as Bite, 1Legion, GPU.net, AWS, Google, and HiveOn ensure the best service.

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3. Cheap Public Network Solution: Inference DePIN (Decentralized Physical Infrastructure Network)

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Enterprises that are not looking for a dedicated GPU infrastructure and require AI solutions where data privacy is not of concern, like customer support agents that use public data and similar, can benefit from the infinitely scalable Inference DePIN.

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Inference DePIN solution:

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• Devices Connected Into A Decentralized Compute Network: This solution taps into the infinite potential of the hardware already being used across the globe like old Ethereum miners, gaming consoles, powerful laptops, smartphone devices equipped with NPUs, and other consumer-grade hardware. NeurochainAI connects these devices into an always-on everywhere-present global compute network.
• Blockchain Approximation Enables Infinite Scalability and Availability: Unlike the typical cloud compute providers or data centers that offer dedicated GPUs per hour, Inference DePIN is designed to execute each AI inference instance by the optimal GPU from the whole network. This system design allows for infinite scalability and availability at a fraction of the cost as the most optimal GPU executes each inference instance and companies pay only per inference instance.
• Quantized AI Models Help To Increase Efficiency: To be compatible with the Inference DePIN, AI models need to be optimized or in technical terms quantized. By using 6 and 8-bit quantization, the most popular open-source AI models have almost exactly the same accuracy at double the performance (twice more output tokens in the same time) and are made compatible with the Inference DePIN saving time and resource on quantization.

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This cutting-edge solution brings decentralized computing into the mainstream, offering enterprises a forward-thinking alternative for GenAI model deployment at a fraction of the cost.

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Add-on services for infrastructure

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AI Model Quantization - it’s possible to optimize infrastructure cost by quantizing models alone. See above for more about model quantization and how it helps to increase efficiency while preserving accuracy and optimizing the cost. 

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AI Model Adaptation - with or without quantizations some models need to be adopted to the IRS, e.g. multi-modal LLM text model that also generates images needs to be adapted to reap the benefits of Inference Routing Solution implementation.

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In addition to the above-mentioned inference infrastructure solutions, NeurochainAI can offer its team’s outstanding expertise in consultancy service and custom AI solution development.  

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Custom AI Solutions 

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If you have an idea of what AI solution you need and not enough in-house AI developers to help you bring your idea to life, or if you don’t even have a clear vision yet, we can help you enter the AI space. 

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• Custom GenAI Solution Development: Whether it’s LLMs, generative AI, or task-specific AI models, our team builds AI solutions from the ground up to meet the unique needs of businesses.
• GenAI Discovery and Consultation Service: If you’re pretty new to AI and don’t even know where to begin our experienced executive team provides extended auditing and consultancy services to guide you through your AI journey from idea to production.

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This is ideal for businesses that don’t have in-house developer teams or are looking to simply explore the realms of GenAI space. 

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How Our AI Inference Solution Surpasses Typical Cloud Computing

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When it comes to cloud infrastructure, many typical cloud users rely on orchestration tools like Kubernetes to manage their resources. While Kubernetes allows users to run two inference instances simultaneously, it is often one of the most expensive methods for optimizing cloud inference, particularly on platforms like AWS.

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This orchestration involves constant virtualization, which consumes hardware resources even when not actively used. Moreover, Kubernetes lacks scalable performance as it simply deploys additional instances without optimizing workload distribution. 

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In contrast, our approach skips the virtualization and network layers altogether, focusing on efficiently distributing workloads across available infrastructure. While AWS Bedrock does offer on-demand AI inference, it is still one of the most expensive solutions out there lacking the level of optimization we provide.

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Our solution enables:

• Horizontal and vertical scalability: horizontal scalability allows for the addition of more GPUs with worker nodes, while vertical scalability lets multiple worker nodes share the same GPU resources. 
• Our software actively monitors GPU availability in relation to AI tasks, optimizing the assignment of tasks to the most suitable GPU for efficient execution. Additionally, it supports running multiple models on the same GPU, enhancing resource utilization and performance.

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About NeurochainAI

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Founded in early 2023, NeurochainAI has rapidly grown into a trusted partner for enterprise AI solutions. With a global network of 14,000 GPU providers and over 100 developers building on DePIN for inference, NeurochainAI supports businesses across industries in optimizing AI processes. Currently, more than 30 companies are transitioning to DePIN, backed by an active community of 100,000+ members.

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Plug-and-play tools help accelerate time-to-market while offering scalable solutions for organizations of any size.

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Notable clients include Gamestarter, Gofingo, Finhike, Bite, and Overtrip.

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Ready to Transform AI Infrastructure?

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Get in touch by filling out this form. For any quick inquiries, reach out to odeta@neurochain.ai.

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