The two AI infrastructure firms announced multi‑billion‑dollar financing rounds. The funding will be directed toward expanding open‑source model ecosystems and building RISC‑V‑based chips.
DeepSeek and Tenstorrent have each secured multi‑billion‑dollar financing rounds, marking a significant infusion of capital into open‑source AI model development and RISC‑V hardware design.
Funding Overview
DeepSeek raised roughly $2 billion in a round led by a consortium of venture firms, while Tenstorrent closed a $1.5 billion series that included strategic investors from the semiconductor sector. Both rounds are among the largest ever for AI‑infrastructure startups focused on open ecosystems.
Strategic Goals for DeepSeek
The capital will be directed toward expanding DeepSeek’s open‑source model repository, accelerating training pipelines, and providing cloud‑based inference services that are freely accessible to developers.
Tenstorrent’s RISC‑V Roadmap
Tenstorrent plans to use its new funds to design and fabricate next‑generation RISC‑V AI accelerators, aiming to deliver higher performance per watt than traditional x86‑based solutions.
- Scale open‑source model training clusters
- Enhance developer tooling and documentation
- Forge partnerships with cloud providers
Both companies emphasize community‑driven innovation, positioning open‑source AI as a counterweight to proprietary offerings from major cloud providers.
Open‑source AI can democratize access to powerful models, and these investments are a vote of confidence in that vision.
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