3 Sources
[1]
AMD-based AI cloud platform TensorWave raises $43M to increase data center capacity - SiliconANGLE
AMD-based AI cloud platform TensorWave raises $43M to increase data center capacity TensorWave Inc., an artificial intelligence GPU cloud delivery platform aimed at delivering an alternative to Nvidia Corp.'s market dominance using Advanced Micro Devices Inc. chips, said today it has raised $43
[2]
TensorWave Rides AI Wave with Record-Breaking $43M Funding Round
In a move that encourages Nevada's growing tech scene, AI cloud platform TensorWave announced today it has secured a statement inducing $43 million in SAFE funding. The largest of its kind for a Nevada-based startup, the funding highlights the increasing attractiveness of Nevada as a hub for tech
[3]
TensorWave thinks it can break Nvidia's grip on AI compute with an AMD-powered cloud
Chipmaker Nvidia notched $30 billion in revenue last fiscal quarter, driven in large part by the AI industry's insatiable demand for GPUs. GPUs are essential for training and running AI models; they contain thousands of cores that work in parallel to quickly perform the linear algebra equations
Share
Copy Link
TensorWave, an AI cloud platform using AMD GPUs, raises $43 million to expand its data center capacity and launch a new inference platform, aiming to provide an alternative to Nvidia's dominance in the AI chip market.

TensorWave, an AI cloud platform startup, has successfully raised $43 million in a SAFE (Simple Agreement for Future Equity) funding round, marking the largest of its kind for a Nevada-based startup
1
2
. The funding round was led by Nexus VP, with participation from Maverick Capital, Translink Capital, Javelin Venture Partners, StartupNV, and AMD Ventures1
2
.Founded in 2023, TensorWave aims to address a critical challenge in the AI and machine learning market by providing greater availability and optionality for GPUs used in AI training and inference
1
. The company is positioning itself as an alternative to Nvidia's market dominance, which is estimated to control between 70% and 95% of the chip market for AI applications1
.TensorWave's unique selling point is its use of AMD Instinct Series GPUs, particularly the MI300X, instead of Nvidia chips
1
2
. The company's CEO, Darrick Horton, highlighted the competitive edge of AMD's offerings:"The MI300 for context is, you know, around the same as the H100, sometimes it's better, sometimes it's worse. It depends on the workload," said Horton. "The MI325 is going to be significantly better than the H200. So, it will have the most memory of any chip on the market and the most memory bandwidth of any chip on the market. It will dominate on inference workloads."
1
The funding will be used to scale up TensorWave's primary data center with AMD Instinct accelerators and prepare for the integration of the next-generation MI325X GPUs
1
2
. Additionally, the company plans to launch Manifest, a specialized AI deployment platform designed for handling large context windows with minimal latency2
.The global AI market is projected to grow from $196.6 billion in 2023 to $1.81 trillion by 2030, according to Grand View Research
1
. This growth potential has attracted significant investor interest in TensorWave's approach.Mathew Hein, Senior Vice President at AMD, expressed support for TensorWave's vision: "AMD Ventures shares TensorWave's vision to transform AI compute infrastructure. Their deployment of the AMD Instinct MI300X and ability to offer public instances to AI customers and developers positions them as an early competitor in the AI space."
2
Related Stories
TensorWave aims to compete on both price and performance. Horton claims that the MI300X is significantly cheaper than Nvidia's H100, allowing TensorWave to offer more competitive pricing to customers
3
. While exact pricing details were not disclosed, Horton suggested a range of approximately $1 to $10 per hour, depending on workload requirements and GPU configurations3
.TensorWave's founding team brings diverse experience to the table. The three co-founders – Darrick Horton, Jeff Tatarchuk, and Piotr Tomasik – have backgrounds in cloud computing, CRM development, and influencer marketing
3
. Their decision to base the company in Las Vegas was driven by the city's potential as a growing tech hub and its favorable business environment3
.As TensorWave moves forward with its ambitious plans, the company's success could potentially reshape the AI infrastructure landscape, offering a compelling alternative to Nvidia's established dominance in the market.
Summarized by
Navi
[1]
1
Science and Research

2
Policy and Regulation

3
Technology