AMD Ventures
VC Fund
Sunnyvale, United States
AMD Ventures is a VC fund in Sunnyvale focused on Artificial Intelligence and Software. Through AMD Ventures, AMD’s investment program, AMD invests in strategic software and application ecosystem companies that serve large and growing markets. AMD’s product strategy synergistically combines both CPU and GPU technology to create APUs (Accelerated Processing Units) that promote improved user experiences by enhancing the vibrant worldwide AMD ecosystem. This ecosystem includes new software, hardware, business models, CE devices, intellectual property, processes, support models, and other new developments. Through its investment program, AMD works with the companies in which it invests to enable differentiated solutions optimized on AMD hardware platforms.
- Total investments:
- 47
- Last investment:
- Lead investor:
- 19%
Last updated:
For AI agents: llms.txt
Industries AMD Ventures invests in
Stages AMD Ventures invests in
Countries AMD Ventures invests in
Round sizes
Contacts
| Name | Phone | Socials | |
|---|---|---|---|
Round size
- Series A
- $20M–$700M
- Series B
- $10M–$350M
- Venture - Series Unknown
- $30M–$230M
Investment Focus
Industry
- Artificial Intelligence 21 (45%)
- Software 14 (30%)
- Machine Learning 10 (21%)
- Information Technology 8 (17%)
- Generative AI 7 (15%)
Stage
- Series A 13 (28%)
- Series B 6 (13%)
- Venture - Series Unknown 6 (13%)
- Seed 5 (11%)
- Series C 4 (9%)
Country
- United States 25 (53%)
- Israel 3 (6%)
- Canada 2 (4%)
- Italy 1 (2%)
- Japan 1 (2%)
Team
| Name | Title | Investments | Links | |
|---|---|---|---|---|
|
Brian Amick
Senior Vice President, Technology and Engineering
|
Senior Vice President, Technology and Engineering | Total investments: 1 | Find email |
Investments
| Company | Description | Round | Links |
|---|---|---|---|
| Salience Labs is building a hybrid photonic-electronic chip for AI. We have designed a massively parallel, ultra-high-throughput Photonic Tensor Processing Unit. Photonics allows data to be modulated at up to 100 GHZ, and allows for high levels of parallelization using multiplexing. We integrate this photonic unit into a SoC architecture designedto exploit its high throughput for AI inference. Salience Labs technology is based on decades of research collaboration between Oxford University and the University of Münster, Germany. | $125M / Series B / Oct 14, 2026 | ||
| Vinci4D.AI utilizes generative artificial intelligence to create hardware design. Its services cover the design, development, and deployment of software. It facilitates users to process and encode three-dimensional geometry with the necessary level of resolution for design and manufacturing. | $250M / Series B / Oct 06, 2026 | ||
| Wafer is an AI optimization platform that automatically accelerates AI models by generating efficient custom GPU kernels. | $40M / Series A / Sep 01, 2026 | ||
| River AI develops personal AI technologies and provides an API for training and adapting open-source AI models. Its API supports LoRA-based fine-tuning and reinforcement learning, allowing users to train, sample, and serve customized models using their own data and rewards. The company also develops personalization, continual learning, AIinfrastructure, and personal hardware for AI systems designed to operate under individual user control. | $1.1B / Series A / Aug 11, 2026 | ||
| Spectro Cloud is an enterprise software company that develops an AI infrastructure and cloud-native infrastructure management platform for enterprises and public sector organizations. It helps organizations deploy, manage, govern, and scale Kubernetes, virtual machines, edge computing, and AI infrastructure across public cloud, private cloud, baremetal, and edge environments through a unified control plane.The company's flagship platforms, Palette and PaletteAI, provide Kubernetes lifecycle management, AI infrastructure orchestration, GPU resource management, virtual machine modernization, edge computing management, policy-based governance, security, and infrastructure automation. The platforms enable organizations to provision and manage infrastructure from operating systems to applications and AI models, automate cluster operations, enforce security and compliance policies, optimize GPU utilization, and operate distributed environments, including air-gapped and sovereign deployments, at enterprise scale. | $100M / Series D / Jul 15, 2026 | ||
| Turing develops and manufactures fully autonomous vehicles. | $43M / Series A / Jul 06, 2026 | ||
| TensorWave provides cloud infrastructure designed for artificial intelligence workloads, offering access to AMD-powered GPU computing resources for model training, fine-tuning, and inference. The company delivers a full-stack AI platform that combines compute, storage, networking, orchestration, and managed services to support the deployment andscaling of machine learning applications. Its platform is built around AMD Instinct accelerators and supports widely used AI frameworks and tools, including PyTorch, TensorFlow, JAX, Hugging Face, and Kubernetes-based environments. TensorWave also offers enterprise capabilities such as workload monitoring, security controls, managed Kubernetes and Slurm services, and software layers that help organizations manage AI operations across the model lifecycle. The company focuses on providing open, scalable infrastructure that enables organizations to develop, train, and run AI models without relying on proprietary hardware ecosystems. | $350M / Series B / Jun 10, 2026 | ||
| Tensormesh is a company that specialises in optimising inference efficiency for large language models (LLMs) and agentic AI systems. | $20M / Seed / May 27, 2026 | ||
| Hark is an AI lab focused on creating advanced personal intelligence through the combination of foundation models and specialized hardware. The company develops an AI interface through custom hardware and autonomous computing, integrated with multimodal models and highly personalized memory. | $700M / Series A / May 20, 2026 | ||
| Featherless.ai is a serverless AI hosting provider with GPU orchestration system. | $20M / Series A / Apr 30, 2026 | ||
| See all 47 investments → | |||
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FAQ
What does AMD Ventures invest in?
AMD Ventures invests primarily in Artificial Intelligence, Software and Machine Learning startups, most often at Series A and Series B stage. Most of the 47 investments tracked by Shizune back companies in United States. The Investment Focus section breaks down every industry, stage and country in the portfolio.
What round sizes does AMD Ventures invest in?
AMD Ventures typically joins rounds of $20M–$700M at Series A, $10M–$350M at Series B and $30M–$230M at Venture - Series Unknown. These are whole funding-round sizes, not AMD Ventures's own check, which is rarely disclosed: the 10th–90th percentile of the confirmed public funding rounds AMD Ventures took part in.
How do I contact AMD Ventures?
Public channels for AMD Ventures include LinkedIn, X (Twitter) and the website linked on this profile. For a verified work email and phone number, create a free Shizune account — contact data is searched across 20+ sources and validated before delivery, so your outreach lands in the right inbox.
Who are the partners at AMD Ventures?
The team at AMD Ventures includes Brian Amick (Senior Vice President, Technology and Engineering). The Team section lists each member with their title, investment count and links.
Is Shizune's investor data accurate?
Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Oct 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.
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