AI ASICs — Market

Verified claims and product-axis read for AI ASICs. Every fact below is sourced; every product judgment traces back to underlying signals.

Verified facts

• Cerebras' $8.1B Series G valuation is roughly the same order as Groq's $6.9B post-money, both materially below AMD's market cap. ↗ (financial)
• AMD's data-center segment revenue of ~$4.3B in Q3 FY2025 implies the segment is now the majority share of AMD revenue. ↗ (financial)
• Cerebras' inference-product wins span Meta (Llama 4), Alibaba (Qwen3-235B), and OpenAI (gpt-oss-120B), all between May and August 2025. ↗ (other)
• Groq's named partners across one year include OpenAI (gpt-oss), Hugging Face, Bell Canada, Saudi Arabia, and Equinix (Helsinki). ↗ (other)
• Cerebras and Groq both served gpt-oss-120B on the same launch day (August 5, 2025). ↗ (other)
• Open AI-ASIC roles include Senior Solutions Engineer for Enterprise Inference (posted 2026-04-02). ↗ (other)
• Groq's stated throughput on gpt-oss-120B is ~500 tok/s class. ↗ (other)
• Open AI-ASIC roles include Principal Package and Signal Integrity Engineer (posted 2026-05-06). ↗ (other)
• Open AI-ASIC roles include Product Manager, Datacenter Inference Solutions (posted 2026-05-06). ↗ (other)
• Open AI-ASIC roles include ASIC Design-for-Test Engineer focused on scan insertion and MBIST. ↗ (other)

Top products (engine read)

Groq LPU inference appliance — AI inference accelerator

Opportunity: Sovereign-AI demand outside US hyperscalers wants dedicated low-latency inference fabric.

Groq is the clearest pure-play inference-ASIC bet with a real sovereign deal anchor; hiring tilts into compilers and capital-markets (financing the buildout), not raw RTL — they have the chip, now they are scaling commercial+capex.

AWS Trainium (Trainium / Trainium2 custom AI silicon) — AI accelerator (hyperscaler ASIC)

Opportunity: Hyperscaler displacement of Nvidia GPUs with bespoke ASICs; Anthropic being pushed onto Trainium creates a guaranteed inference workload.

Trainium is the most-cited custom hyperscaler ASIC across demand chatter; Marvell is the locked-in design-services partner. Strong wind-direction product but most A1/A4 evidence sits inside AWS/Annapurna (not in the listed companies).

Google TPU (custom hyperscaler ASIC) — AI accelerator (hyperscaler ASIC)

Opportunity: Investor narrative shift toward profitable inference on custom ASICs vs renting Nvidia GPUs.

TPU is the canonical 'ASIC beats GPU' reference point in retail and investor discourse; Broadcom is the disclosed silicon partner monetizing it. Confirmed product-market fit; the public chatter is itself the trend signal.

AMD Instinct MI450 GPU — AI accelerator

Opportunity: Hyperscaler need for a credible second AI accelerator vs Nvidia (fact f953dea3-974f-4b3e-9c78-bdb57cb6a88f: 6 GW OpenAI commitment plus Oracle 50K MI450 line).

MI450 is the single most-anchored ASIC product in the evidence: two named hyperscale customers (OpenAI 6 GW, Oracle 50K) plus a $5B revolver and an explicit roadmap (MI300→MI325→MI350→MI430X→MI450). AMD is the strongest non-Nvidia bet in evidence.

See the Products and Strategy modules for the full product list and forward-looking judgment.