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Form 4 · Statement of Changes in Beneficial Ownership · Filed 2026-08-21

Feldman Andrew D. Files Cerebras Systems (CBRS) Form 4 - August 21, 2026

Feldman Andrew D. traded 525.2K CBRS shares worth $47.3M in this Form 4 filing, reported to the SEC on 2026-08-21.

Issuer
Cerebras Systems Inc. CBRS · NASDAQ
Filed
Period
2026-08-21
Accession
0001628280-26-058961

Transactions (21)

Insider Date Type Shares Price Value Own
Feldman Andrew D. 2026-08-24 Buy 120 $0.00 $0.00 Indirect
Feldman Andrew D. 2026-08-21 Buy 237.6K $0.00 $0.00 Direct
Feldman Andrew D. 2026-08-21 Sell 43.6K $196.20 $8.5M Direct
Feldman Andrew D. 2026-08-21 Sell 21.3K $197.45 $4.2M Direct
Feldman Andrew D. 2026-08-21 Sell 32.9K $198.18 $6.5M Direct
Feldman Andrew D. 2026-08-21 Sell 66.2K $199.33 $13.2M Direct
Feldman Andrew D. 2026-08-21 Sell 33.6K $200.13 $6.7M Direct
Feldman Andrew D. 2026-08-21 Sell 8.8K $201.12 $1.8M Direct
Feldman Andrew D. 2026-08-21 Sell 50.0K - $0.00 Direct
Feldman Andrew D. 2026-08-21 Sell 12.1K $203.37 $2.5M Direct
Feldman Andrew D. 2026-08-21 Sell 4.8K $204.44 $981.3K Direct
Feldman Andrew D. 2026-08-21 Sell 1.6K $205.32 $328.5K Direct
Feldman Andrew D. 2026-08-21 Sell 1.4K $207.28 $290.2K Direct
Feldman Andrew D. 2026-08-21 Sell 4.6K $208.86 $959.5K Direct
Feldman Andrew D. 2026-08-21 Sell 6 $210.21 $1.3K Direct
Feldman Andrew D. 2026-08-21 Sell 6.7K $202.28 $1.4M Direct
Net change−49.9K−$47.3M

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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