Seed / pre-seed fund investing in StartUpNV accelerator and affiliated companies with early revenue or ''at the doorstep'' of initial revenue.   FundNV invests in $50k tranches (+ additional syndicated amounts of up to $250k) on standard terms using series seed convertible notes or SAFE's at 10% interest, 20% discount to priced rounds and caps of $5M or less.

FundNV

Managers — Sriram Krishnan, Cindy Bi, Jens Lapinski, Anthony Pompliano, Kat Cole, Tim Chen, Julia Lipton, Tommy Leep

Angel Collective Opportunity Fund

TensorWave

TensorWave enables enterprises to harness the power of artificial intelligence and create innovative AI-based software.

TensorWave offers cloud-based access to AMD data center GPUs (such as the Instinct MI300X accelerator) for LLMs and other AI workloads. The company was the one of the first-to-market MI300X launch partners, offering enterprises the choice between bare-metal nodes and fully-managed Kubernetes clusters.

AI cloud startup TensorWave bets AMD can beat Nvidia

GigaIO’s Award-winning SuperNODE Technology to Power the AI Infrastructure of TensorWave’s “TensorNODE” Deployment with AMD Instinct MI300X Accelerators at Scale

POWER LEADER: TensorWave co-founder Piotr Tomasik secures key partnership at AMD Advancing AI event

TensorWave Partners With Neuralink Engineers' New Startup, MK1, To Bring Lightning Fast AI Inference to AMD Cloud

GigaIO’s SuperNODE to Power TensorWave Deployment with AMD MI300X - High-Performance Computing News Analysis

Empowering Tomorrow's Innovations with Generative AI Infrastructure

Generative AI Infrastructure

TECfusions Secures Landmark 1 GW Capacity Commitment from TensorWave for AI-Ready Infrastructure

TensorWave is a cloud provider specializing in offering access to AMD data center GPUs, particularly for large language models (LLMs) and other AI workloads. The company has forged strategic partnerships with GigaIO and AMD to leverage their advanced technologies. In December 2023, TensorWave announced plans to build a bare-metal specialized AI cloud called "TensorNODE," powered by GigaIO's SuperNODE infrastructure and AMD's Instinct MI300X accelerators.
The TensorNODE deployment aims to create the world's first petabyte-scale GPU memory pool without performance impact, supporting up to 5,760 GPUs across a single fabric domain. This architecture, utilizing GigaIO's FabreX memory fabric, will enable workloads to access over a petabyte of VRAM from any node, facilitating rapid completion of even the largest jobs. The MI300X's 192GB of HBM3 memory per accelerator, combined with GigaIO's near-perfect scaling, addresses the challenge of underutilized GPU cores. TensorWave's cloud is expected to be more environmentally friendly by eliminating redundant servers and networking equipment, resulting in cost, complexity, space, water, and power savings.
Key customers and partnerships
TensorWave has partnered with MK1, a startup founded by early Neuralink engineers, including co-founder Paul Merolla, to revolutionize AI inference solutions using AMD hardware. This collaboration aims to offer a competitive alternative to NVIDIA's dominance by optimizing AMD's cloud-native hardware for inference workloads, which account for 70% of AI workloads. In May 2024, MK1 announced that their software, optimized for real-world workloads, operates on over a thousand GPUs in TensorWave's cloud, serving over 15 trillion tokens per month for clients.

TensorWave offers cloud-based access to AMD data center GPUs (such as the Instinct MI300X accelerator) for LLMs and other AI workloads. The company was the one of the first-to-market MI300X launch partners, offering enterprises the choice between bare-metal nodes and fully-managed Kubernetes clusters.In&nbsp;<a href="https://gigaio.com/2023/12/gigaios-supernode-to-power-tensorwave-deployment-with-amd-mi300x/">December 2023</a>, TensorWave announced plans to build a bare-metal specialized AI cloud called "TensorNODE," powered by GigaIO's SuperNODE infrastructure and AMD's Instinct MI300X accelerators. The deployment aims to create the first petabyte-scale GPU memory pool, supporting up to 5,760 GPUs within a single domain using GigaIO's FabreX memory fabric.&nbsp;The startup's headquarters in Las Vegas allowed it to keep energy costs and overheads lower than in other major US cities. It generates revenue by renting GPU capacity by the hour (ranging from USD 1 to USD 10, depending on workload requirements) and requires a minimum six-month contract.Key customers and partnershipsIn&nbsp;<a href="https://www.datacenterdynamics.com/en/news/tecfusions-signs-1gw-ai-infrastructure-deal-with-ai-cloud-firm-tensorwave/">October 2024</a>, TensorWave partnered with US data center firm Tecfusions to lease 1 GW of AI capacity across Tecfusion's data center portfolio. Other partnerships included 1) open networking solutions provider Edgecore Networks to support the growth of AI and ML workloads (<a href="https://www.edge-core.com/press-release/edgecore-networks-and-tensorwave-forge-a-partnership-to-deliver-high-efficiency-networking-solutions-for-amd-powered-ai-data-centers/">May 2024</a>) and 2) AI inferencing startup MK1 to offer a competitive alternative to NVIDIA's dominance by optimizing AMD's cloud-native hardware for inference workloads (<a href="https://www.businesswire.com/news/home/20240521368988/en/TensorWave-Partners-With-Neuralink-Engineers-New-Startup-MK1-To-Bring-Lightning-Fast-AI-Inference-to-AMD-Cloud">May 2024</a>).

Founded in Israel, NeuReality specializes in providing hardware infrastructure to streamline computation processes to accelerate the development of AI applications. Its technology assists AI inferencing deployment by offering a comprehensive system solution that seamlessly supports a vast array of deep learning models.NeuRealitys’ infrastructure includes an architecture called the Network Addressable Processing Unit (NAPU) to maximize the capabilities of Deep Learning Accelerators (DLAs). This design facilitates inference through purpose-built NAPUs that are specifically crafted for AI inference tasks, enhancing performance and efficiency.The NR1 AI Inference Solution by NeuReality is a comprehensive system comprising architecture, hardware, and software platforms. Launched in November 2023, it intends to simplify the installation, utilization, and management of AI, making it accessible and manageable for users.The hardware offerings of the solution include,1. NR1 Network Addressable Processing Unit : A network addressable inference Server-on-a-Chip with an embedded Neural Network Engine, which is a workflow-optimized hardware device with specialized processing units, native network capabilities, and virtualization capabilities2. NR1-M™ AI Inference Module : A full-height, double-wide PCIe card containing one NR1 Network Addressable Processing Unit (NAPU) system-on-chip and a network addressable Inference Server that can connect to an external Deep Learning Accelerator (DLA)3. NR1-S AI Inference Appliance : An optimized design for an inference server that contains NR1-M modules with the NR1 NAPU, which enables disaggregated AI service in a scalable and efficient architectureThe software component of the solution is designed to be compatible with any trained model from any development environment. It includes tools that handle the entire AI pipeline and enable seamless connection of AI workflows to any environment.NeuReality differs from traditional AI chip connectivity in replacing CPU-centric support with an AI-centric platform. This allows components to communicate directly with AI accelerators, eliminating the need for commands to pass through a central processing unit. Additionally, the technology enables AI accelerators to connect with each other, enhancing efficiency and performance in AI applications. It also claims its AI-centric approach reduces complexity, cost, and power usage. The firm claims it can reduce inference costs by 90%.Key customers and partnershipsIn November 2021, NeuReality teamed up with IBM to develop advanced AI inference technology by enhancing its NR1 chip and system for use in IBM's Hybrid Cloud.In September 2021, the company partnered with Xilinx to develop AI-centric platforms that improve real-world AI applications. This collaboration was intended to focus on NeuReality's AI-centric inference platform NR1-P and address existing issues with AI deployment including cost and complexity.

NeuReality

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 Accubits is an AI and BLOCKCHAIN focused development and solutions company based in Washington DC with its development offices in India and Dubai. Pioneering as a custom Blockchain solutions provider delivering solutions ever since 2012, Accubits is one of the oldest and experienced Blockchain dev house in the market and is featured as one among the top 13 Blockchain companies in India by INC42. We are a big family of engineers, innovators, inventors and many others continually working to help our customers in leveraging their business and adding value to their lives. Over the past 6 years, We have delivered more than 600 projects, for over 200 clients worldwide. Several of Fortune 500 companies in sectors from Retail to Health are being powered by our solutions to streamline and leverage their growth.Our portfolio for AI solutions includes intelligent conversational tools, RPAs, CRMs, SIPs, real-time video and image analytics systems, state of the art ALPR systems and many more being used enterprises, startups across North America, Canada, Middle East, Hong Kong, Singapore, Indonesia, India &amp; Sweden. Our portfolio of Blockchain development includes custom DApps and smart contracts, crypto token and exchange development, integrated blockchain services and ICO platforms.
 
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Accubits

<div>
 
 LeewayHertz is a leading software development company delivering tailor-made digital solutions to businesses worldwide. Our team of 250+ full-stack developers, designers and innovators has designed and developed 100+ digital solutions across industry verticals. As a close-knit team of AI and web3 experts, designers and full-stack developers, we undertake collaborative research and development to create next-gen applications and solutions perfectly suited to the evolving tech space. As a technology pioneer with deep knowledge and expertise in AI, blockchain and other advanced technologies like IoT, LeewayHertz believes in helping companies overcome their most complex tech challenges and drive business growth. Our motto, &lsquo;You Dream It: We Build It,&rsquo; reflects our business philosophy. From putting flesh on your idea to delivering the expected end product, we do whatever it takes to make your project successful. Having worked with 30+ top fortune 500 companies and created various on-demand solutions, we boast an impressive work portfolio demonstrating our expertise.
 
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LeewayHertz

Databricks, a data and AI company established by the original developers behind prominent Big Data solutions such as Delta Lake, Apache Spark, and MLflow, and provides organizations with AI and data analytics tools for efficient management of their data.&nbsp;Databricks' primary product is the Databricks Lakehouse platform, a unified data intelligence platform that merges a data warehouse and data lake to provide developers with efficient access to data and enables enterprise customers to create their AI models—similar to a ChatGPT-style AI system—using only their internal data.&nbsp;Databricks Unity Catalog, part of the Databricks Lakehouse Platform, provides unified governance for structured and unstructured data, machine-learning models, notebooks, dashboards, and files across various environments, offering automated monitoring, proactive alerts, and seamless data sharing through Delta Sharing integration. Furthermore, Databricks offers an open architecture that streamlines the AI development process, allowing the integration of various LLMs such as Llama 2, Azure OpenAI, and Anthropic, enabling customization with enterprise data for tailored model creation. In&nbsp;<a href="https://sp-edge.com/updates/28436">April 2024</a>, Databricks introduced its Data Intelligence platform for energy to use AI technology to process large data for energy companies. Following this, the company added synthetic data capabilities for AI agent evaluation in&nbsp;<a href="https://sp-edge.com/updates/37008">December 2024</a>.Notably, Lakehouse leverages NVIDIA technology for accelerated data processing and AI model generation. Databricks also offers industry-specific solutions like Databricks Lakehouse for Healthcare, Financial Services, Retail, and Manufacturing.Databricks has expanded its offerings through multiple acquisitions, including MosaicML (<a href="https://sp-edge.com/updates/19683">July 2023</a>), Arcion (<a href="https://sp-edge.com/updates/23041">October 2023</a>), Okera (<a href="https://sp-edge.com/updates/18197">May 2023</a>), and Datajoy (October 2022).&nbsp; Key customers and partnershipsAs of November 2024, Databricks served a global customer base of more than 10,000 organisations, including Comcast, Conde, DuPont, Honeywell, Rolls-Royce, Shell, and Tata Steel.Databricks collaborates with over 1,200 global cloud, ISV, and consulting partners to deliver data, analytics, and AI solutions, supporting customers in scaling their projects.Notable partnerships include collaboration with AWS in&nbsp;<a href="https://sp-edge.com/updates/34884">October 2024</a> to leverage AWS Trainium chips as the preferred AI chip to power Databricks' Mosaic AI model training and serving capabilities.&nbsp;Databricks also partnered with Karini AI in&nbsp;<a href="https://sp-edge.com/updates/33687">September 2024</a> to accelerate GenAI deployment for enterprises.&nbsp;

Databricks

Labelbox offers a data-centric AI platform for enterprises, enabling them to develop, optimize, and use AI to solve complex problems and power new products and services.&nbsp;&nbsp;Labelbox’s platform offers capabilities for building, optimizing, training, fine-tuning LLMs, and AI-enabled data labeling automation.&nbsp;Its products include&nbsp;1) Catalog: A platform for building AI applications with features such as advanced search capabilities and optimizing data for labeling budgets2) Annotate: A data labeling solution designed to streamline and accelerate labeling operations using automation tools and pre-labeling techniques(3) Model: Offers tools for data enrichment, model-assisted labeling, and custom Foundry Apps to automate data management tasks and improve AI model performance&nbsp;&nbsp;(4) Boost: Offers fully managed tailored solutions such as on-demand data labeling services to enhance AI development speed and efficiency.&nbsp;As such, Labelbox enables companies to streamline the fine-tuning and alignment of LLMs and enables the validation of outputs through techniques such as reinforcement learning with human feedback (RLHF), reinforcement learning from AI feedback (RELIEF), and evaluation. This incorporation of human expertise ensures more accurate, contextually relevant, trustworthy, and secure results from LLM systems.The platform is offered through a SaaS subscription model with packages ranging from free subscriptions with limited usage and custom pricing for enterprises.Key customers and partnershipsThe firm's solutions have use cases across diverse industries, including retail, consumer internet, healthcare, manufacturing, and financial services. Labelbox has a large portfolio of customers, including NASA's Jet Propulsion Laboratory and Blue River Technology, a smart AgriTech company that used Labelbox's model-assisted labeling suite to enhance its See &amp; Spray technology in smart agriculture, resulting in herbicide cost savings of 70%–80. Labelbox's customers also include several Fortune 500 companies, such as Walmart, P&amp;G, Audi Adobe, Airbnb, Bayer, and Bosch.Key partnerships include a long-term collaboration with <a href="https://sp-edge.com/updates/21770">Google Cloud </a>to facilitate digital transformations in retail, consumer internet, financial services, and manufacturing and logistics.&nbsp;

Labelbox

Integrated solutions that handle various processes such as model training, fine-tuning, model deployment, monitoring, and maintenance in working with and deploying LLMs

Platforms that provide hardware such as high-performance CPUs, GPUs, or TPUs, including cloud-based solutions that are commonly used to train and run GenAI models efficiently

Platforms that assist with fine-tuning pre-trained GenAI models or custom models tailored to specific use cases. Includes services that train models from scratch or use existing models

Platforms that store and retrieve training data in vector databases for access during the model training phase

Services to deploy GenAI models (on-premises or cloud-based) into production environments and integration tools to support existing systems and workflows

Ongoing monitoring of GenAI models to ensure performance. Includes regular model retraining, performance optimization, and troubleshooting

Platforms that assist in designing and refining prompts or instructions to GenAI models to get the desired responses or outcomes

Platforms that enable safe, responsible, and ethical GenAI deployment, ensuring compliance with regulations and/or protection against GenAI-based cybersecurity threats.

All services offered by these companies provide support to AI/ML

NLP is a key component of generative AI which is the core focus of this hub.

All companies within this space are offering infrastructure for generative AI

Generative AI infrastructure hub covers companies that deploy and run these foundation models.

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 Cloud service provider TensorWave has raised a total of $43 million in SAFE (Simple Agreement for Future Equity) funding. The financing round was spearheaded by Nexus VP and saw additional investments from AMD Ventures, Maverick Capital, Translink Capital, Javelin Venture Partner, and StartupNV.
 The funding will be utilized by TensorWave to incorporate thousands more AMD Instinct accelerators into its data center. Additionally, the funds will also support the expansion of its team in anticipation of the launch of a new inference platform named Manifest, slated for release in Q4 2024.
 Established in late 2023, TensorWave is banking on AMD's HBM-packed Instinct accelerators, particularly the MI300X model. The company also plans to introduce the next-generation MI325X accelerators as soon as these are available in the market, presumably before the end of 2024.
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TensorWave

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