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Cerebras published a technical explanation of how it deploys very large AI models, such as the open-source ~3 trillion-parameter Kimi K3, across multiple WSE-3T wafer-scale chips. The company says it splits models to fit entirely in on-chip memory, since a single WSE-3T wafer holds only 44 GB while frontier models need terabytes for weights alone, enabling inference speeds of 1000-2000+ tokens per second.
At TechCrunch Disrupt 2026, Cerebras Systems CEO Andrew Feldman said personal AI assistants that operate in the home are close to becoming reality, citing consumer AI agents like Meta's Muse and the $10 billion startup Instinct as evidence of growing adoption. He described a future where these assistants run partly on-device and partly in the cloud, learn user habits, and even handle purchases via linked credit cards within a defined security boundary. Feldman also said he personally uses several AI agents to manage his calendar and prepare for calls.
At TechCrunch Disrupt 2026, Cerebras Systems CEO Andrew Feldman said some AI industry leaders should rethink their public commentary, arguing that warnings about AI risks have overshadowed its potential benefits, such as curing cancer. He acknowledged that powerful technology carries risks of misuse and said the industry needs thoughtful, reasonable regulation, while also noting the sector has handled local community relations around data center buildouts poorly.
TechCrunch's Disrupt 2026 conference begins in two days, running October 13-15 at Moscone West. Organizers expect more than 10,000 attendees, over 250 speakers across 200+ sessions, and 300+ startups exhibiting, including the 200 companies selected for Startup Battlefield.
Cerebras Systems, a key player in inference-focused AI chips, successfully launched its IPO on Nasdaq, raising $5.55 billion and achieving a valuation of approximately $23 billion. The company's early backing by the author, who invested when it was valued at around $2 billion, underscores its prominence in the hardware infrastructure for running AI models efficiently at scale.
TechCrunch has published the complete speaker roster for the Disrupt Stage at its Disrupt 2026 conference, running October 13-15 at Moscone West in San Francisco. Confirmed speakers include Rivian CEO RJ Scaringe, Cerebras CEO Andrew Feldman, Science Corporation founder Max Hodak, Flock Safety CEO Garrett Langley, and all five partners of venture firm Benchmark appearing together.
Cerebras Systems' stock gained in premarket trading Monday after OpenAI CEO Sam Altman posted on X calling Cerebras a 'close partner' with 'deep engagement pushing on the frontiers of speed.' The comments follow a 20% drop last week after reports that OpenAI would use Nvidia GPUs rather than Cerebras chips to power GPT-6.1 Sol's 'Ultrafast' mode. Cerebras stock was last up 6.3% at $177 per share, still roughly half its post-IPO high, with market cap near $39 billion versus $95 billion at its May debut.
Cerebras Systems' stock closed Friday at $166.43, down nearly 20% for the week and its lowest price since its May IPO. The decline followed a SemiAnalysis report that OpenAI will use Nvidia GPUs, not Cerebras chips, to power the 'Ultrafast' mode of GPT-6.1 Sol, and coincided with the expiration of lockup restrictions freeing up to 19.4 million insider shares, about 8% of shares outstanding.
Cerebras Systems co-founder and CEO Andrew Feldman is scheduled to appear at TechCrunch Disrupt 2026 for a session titled 'Can AI Keep Scaling?', addressing rising demand for compute, energy and infrastructure. Cerebras builds wafer-scale AI chips as an alternative to conventional chip architectures, raised $5.5 billion in its May IPO, signed a multiyear deal with OpenAI for 750 megawatts of systems through 2026-2028, and launched its CS-4 hardware in August.
Interface elements spotted by TestingCatalog show OpenAI testing a new ChatGPT Pro Max subscription priced at $500 per month, or $600 with VAT in some regions. The tier is listed alongside existing Plus and Pro plans, promising OpenAI's most capable models, maximum memory, 100GB of storage, early feature access, and 'Fastest Work and Codex' performance, though OpenAI has not officially announced it.
Cerebras has added the 27-billion-parameter Qwen 3.8 model to its public API endpoints, offering inference speeds of roughly 1500 tokens per second. The model supports 64k context on free tier and 128k on paid tier, and is available under Cerebras's free trial and pay-as-you-go pricing, subject to rate limits.
At Hot Chips 2026, Cerebras detailed its next two wafer-scale accelerator generations, including a new Nexus rack architecture for the CS-4 system that triples rack-scale performance using three WS-3T engines. The company also confirmed that its future CS-6 system will introduce 3D-stacked DRAM directly on top of its wafer-scale logic and SRAM, marking a first for its chip design.