Cerebras Systems Inc. insider Eric Vishria reported a change in beneficial ownership of the company’s Class A common stock tied to a Benchmark Capital distribution, not an open-market purchase or sale. The Form 4 reports a June 29, 2026 transaction involving 99,651 shares of Cerebras Class A common stock at a reported price of $0.00 per share. According to the explanatory note, the shares were part of a pro-rata, in-kind distribution by Benchmark Capital Partners VIII, L.P. and affiliated funds to their partners, including members and assignees. The distribution was made “not for additional consideration,” meaning no cash purchase price was paid in connection with the transfer. The filing further states that the shares are held by entities controlled by Vishria, indicating the reported ownership is indirect rather than shares necessarily held in his personal name. The document does not provide a post-transaction total ownership figure or list a transaction code in the supplied text. The key takeaway is that this filing reflects an internal venture-fund distribution of Cerebras shares connected to Benchmark-affiliated entities, rather than a market-timed insider trade. Such distributions can shift beneficial ownership from fund-level holdings to partners or related entities while leaving the economic exposure tied to the same underlying stock. The filing was signed on July 1, 2026, by An-Yen Hu under power of attorney for Vishria.
Stock detail
Cerebras Systems (CBRS) stock price, chart, and key data
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Stock detail
Cerebras Systems
CBRS · XNAS
+$2.31 (+1.06%) past day
$220.00
Overnight $218.78 (-0.56%)
Key metrics
Earnings
Quarterly results and the next expected release
FY24 Q2
FY25 Q1
FY26 Q1
Q2
Q3
Day range
$193.48 - $222.89
52-week range
$160.81 - $385.00
Close price
$220.00
Market cap
$49B
P/E ratio
0
About the company
Cerebras Systems Inc
Cerebras Systems Inc., headquartered in Sunnyvale, California, develops semiconductors, supercomputers, and related software to power artificial intelligence deep-learning applications such as inference engines. Products include its wafer scale engine-3 semiconductors, its CS-3 supercomputers, and its "AI inference cloud" and "AI training cloud" APIs, which allow users to access the company's computing power without buying its hardware. The company also builds data centers using its processors and supercomputers to provide cloud computing services directly to clients. Measuring 215 mm squared, the company's WSE-3 semiconductors are currently the largest AI semiconductors ever built. They take up entire silicon wafers and use wafer-scale integration and switched fabric. This reduces latency and interconnect bottlenecks compared to GPU clusters. They use static random-access memory, as opposed to dynamic random-access memory. Cerebras semiconductors and computer systems are much more powerful than those of competitors; however, they have disadvantages due to their large size, 25kW power draw, and cost of as much as $3 million per node.
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