Intel Capital invests in innovative startups targeting cloud and AI infrastructure, edge, 5G, autonomy, cybersecurity, client & gaming, enterprise applications, silicon design and manufacturing, and a wide range of other disruptive technologies. Since 1991, Intel Capital has invested US$12.9 billion in more than 1,582 companies worldwide. Intel Capital has adopted the Diversity Term Sheet Rider.

Intel Capital

Dell Technologies Capital is the investment arm for Dell Technologies.  We’ve invested in over 100 companies that push the envelope on digital technology for enterprises and consumers.  We are a team of world-class investors who help our companies succeed.  We focus on early-stage investments with passionate founders. Our companies gain unique access to the go-to-market capabilities of Dell Technologies. For more information visit www.delltechcapital.com

Dell Technologies Capital

AI Grant is a non-profit, distributed AI research lab that funds brilliant minds to work on cutting-edge artificial intelligence.

AI Grant

RunPod

RunPod is a cloud platform designed for GPUs, enabling developers to deploy customized full-stack AI applications. RunPod is dedicated to ensuring that cloud computing remains accessible and affordable while maintaining its full range of features, usability, and user experience. Its mission is to empower individuals and enterprises with state-of-the-art technology, allowing them to harness the power of AI and cloud computing to their fullest potential.

RunPod offers a cloud computing platform that provides serverless GPU computing for AI and machine learning applications. Users can deploy container-based GPU instances for AI inference and model training using both public and private repositories. It also supports AI frameworks like TensorFlow and PyTorch. RunPod provides a choice between deploying via T3/T4 data centers or individual compute providers on a secure peer-to-peer system.&nbsp;

The innovative cost dynamics of serverless computing allow more customers onto the cloud without breaking the bank.

Serverless Computing

RunPod Wins 2024 CloudX Award for IaaS Excellence

RunPod offers a cloud computing platform that provides serverless GPU computing for AI and machine learning applications. Users can deploy container-based GPU instances for AI inference and model training using both public and private repositories. It also supports AI frameworks like TensorFlow and PyTorch. RunPod provides a choice between deploying via T3/T4 data centers or individual compute providers on a secure peer-to-peer system.&nbsp;Furthermore, the platform offers fully managed AI endpoints that are designed for a number of GenAI applications such as Dreambooth, Stable Diffusion, and Whisper. Users can automate workflows and manage compute jobs via a command line interface/GraphQL API and access multiple points for coding, optimizing, and running AI/ML workloads.

Triggermesh’s platform allows users to create serverless apps that integrate multiple cloud, data center, and on-premise software and environments, on top of Kubernetes. Through these integrations, the platform aims to break “silos” between enterprise customers and their software development and IT operations (DevOps) teams. The cloud and infrastructure integration development speed is reportedly enhanced by reusing connectors and customizable templates.In March 2022, the platform announced broad support for KNative (an open-source platform to build and deploy serverless workloads) which includes any conformant Knative deployment, along with the provision of Knative distribution. TriggerMesh also announced broad support for creating event-driven architecture that runs on Kubernetes in Google Cloud, to enable users to create integrations to sync data or drive event-driven workloads. Triggermesh went on to launch a service to enable enterprises using Kubeless migrate to Knative in May 2022.

Triggermesh

Iron.io offers multiple tools to assist development operations (DevOps) to focus on core tasks, without managing infrastructure. The company entered the serverless computing market in 2016, with the launch of IronFunctions, effectively an open-source platform that can be used by developers and uses containers as the base. It allows users to launch serverless applications and functions on private and public clouds, on-premise servers, and hybrid environments. IronFunctions can be written in a variety of programming languages including Ruby, PHP, Python, Java, Node.js, Go, and .NET. However, the company currently only provides helper libraries and integration with Amazon Web Services (AWS) Lambda.The company has expanded its operations since 2017 by adding an office in Tokyo, expanding its engineering and customer success teams, and continuing to improve the company’s products (bug fixes, improvements to internal tooling, and adding concurrency graphs, etc.). Iron.io looks to continue ramping up the development of its products by improving performance and reliability and developing a new user interface.Iron.io also continues to invest in new cutting-edge technologies such as “Computerless,” which eliminates the physical machine altogether and allows for it to be fully encapsulated in fiber optic cable.Key customers and partnershipsIts key customers include Google, Harry’s, Philips, Whole Foods, Veritone, and Counsyl.

Iron.io

Elotl offers the “Elotl Milpa” serverless platform to deploy Kubernetes (container orchestration system) apps on the cloud (mainly AWS, Google Cloud, Azure cloud, and Oracle cloud). It allows users to run their Kubernetes workloads in a cost effective manner (around 60%-80% cost savings relative to traditional offerings), avoiding vendor lock-in, Its offering also includes multi-tenancy security.Key customers and partnershipsAs of January 2022, its customers included Robinhood, Ronin, and Symphony, among others.In the year leading to November 2021, deployments through Elotl expanded 5x YoY, and the company became a founding member of the “Mobile Native Foundation” (a space for developers to collaborate on open source projects and discuss topics).

Elotl

ServerlessOps offers DevOps transformation advisory services, focusing on Amazon Web Services (AWS) serverless technology. The firm covers both technical training as well as implementation engineering. ServerlessOps claims it focuses on promoting AWS usage, as it believes AWS Lambda has the best combination of runtime and range of cloud services.

ServerlessOps

Sparta is an open-source framework for building and deploying Go microservices on AWS Lambda-powered microservices. It allows developers to define their application logic, AWS infrastructure, operational metrics, alert conditions, and security policies using Go types within a monorepo. Sparta transforms a Go application into a self-deploying AWS Lambda service, automatically provisioning the required infrastructure through CloudFormation.It integrates with various AWS services, including DynamoDB, S3, Kinesis, SNS, SES, CloudMap, CloudWatch Events, CloudWatch Logs, and Step Functions. It also allows provisioning custom AWS resources and defining IAM roles with limited privileges to minimize the service's attack surface. Sparta emphasizes security and operational best practices as first-class goals.One of Sparta's key features is its ability to discover dynamically created AWS resources at runtime, eliminating the need for hard-coded ARNs in the codebase. This promotes an immutable infrastructure approach. The framework aims to discourage the deployment of monolithic applications as Lambda functions, instead favoring a microservices architecture.

Sparta

This includes all serverless software which does not fall into the other categories but are related to the serverless market (e.g serverless based database providers).

Software and services that monitor, optimize, and enable integrations to improve performance.

Businesses and organizations helping programmers transition to serverless platforms by reducing client dependency on vendor-specific offerings.

Businesses that fill in knowledge gaps between clients and serverless vendors for developing and running complex apps and programs.

Vendor platforms such as AWS Lambda and Azure Functions used by clients to run their program. Effectively the infrastructure for serverless computing.

Serverless database providers offer infrastructure for running Gen AI models

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RunPod, a serverless GPU computing cloud platform, has generated USD 20 million in seed funding. The funding round included prominent participants like Intel Capital and Dell Technologies Capital, as well as Julien Chaummond, Nat Friedman, and Adam Lewis.
This funding will be directed towards enhancing the experience for developers and initiating new partnerships and integrations. The intent is to provide clients a robust foundation for developing custom AI models.

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RunPod

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