Form 4 · Statement of Changes in Beneficial Ownership · Filed 2026-08-17
Vishria Eric Files Cerebras Systems (CBRS) Form 4 - August 17, 2026
Vishria Eric traded 179.2K CBRS shares worth $15.7M in this Form 4 filing, reported to the SEC on 2026-08-17.
- Insider
- Vishria Eric
- Issuer
- Cerebras Systems Inc. CBRS · NASDAQ
- Filed
- Period
- 2026-08-17
- Accession
- 0001104659-26-098846
- Source
- Official filing on sec.gov ↗
Transactions (7)
| Insider | Date | Type | Shares | Price | Value | Own |
|---|---|---|---|---|---|---|
| Vishria Eric | 2026-08-17 | Sell | 10.0K | $224.20 | $2.2M | Indirect |
| Vishria Eric | 2026-08-17 | Sell | 300 | $227.97 | $68.4K | Indirect |
| Vishria Eric | 2026-08-17 | Sell | 41.4K | $228.34 | $9.4M | Indirect |
| Vishria Eric | 2026-08-17 | Sell | 9.3K | $229.56 | $2.1M | Indirect |
| Vishria Eric | 2026-08-17 | Sell | 1.6K | $230.10 | $377.1K | Indirect |
| Vishria Eric | 2026-08-17 | Sell | 5.7K | $250.30 | $1.4M | Indirect |
| Vishria Eric | 2026-08-17 | Buy | 111.0K | $0.00 | $0.00 | Indirect |
| Net change | +42.7K | −$15.7M | ||||
About Cerebras Systems Inc.
Cerebras Systems Inc. is a technology company specializing in hardware and systems for artificial intelligence workloads. Headquartered in Sunnyvale, California and founded in 2016, the company designs processors optimized for AI training and inference, targeting data centers, research institutions, and enterprises running large-scale machine learning models. Its portfolio includes AI supercomputers, purpose-built systems integrating compute, memory, and networking, as well as cloud-based access to its computing platforms. Cerebras Systems Inc. also provides AI model services that enable customers to run complex models without managing underlying infrastructure. By focusing on high-performance, domain-specific processors and tightly integrated systems, the company plays a role in accelerating computation for generative AI, natural language processing, and scientific computing. Its offerings support organizations that require efficient, large-scale AI processing beyond the capabilities of conventional general-purpose processors.
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