AV Simulation — How Waymo and Tesla Train on Billions of Virtual Miles
Waymo runs 20B simulated miles per year; Tesla trains on video from 6M vehicles via Dojo — simulation is the multiplier that separates AV leaders.
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Physical AI Compute Infrastructure — Tesla Dojo vs Google TPU vs NVIDIA H100 in the AV Training Arms Race
Tesla bets on Dojo custom silicon at $1/FLOP target while Waymo inherits Google TPU scale; both outpace NVIDIA-dependent rivals on training iteration speed.
Physical AI Compute Race 2026 — NVIDIA B200 vs Tesla Dojo vs Google TPU: The AV and Robotics Training Infrastructure Benchmark
NVIDIA B200 est. 9 exaFLOPS powers virtually all AV AI training. Tesla Dojo bets on custom silicon. Waymo uses Google TPU. Compute decides the race.
Physical AI Investment Landscape 2024-2026 — Where the Capital Is Flowing
Capital is consolidating around Physical AI companies closest to commercial scale — the funding map reveals who the smart money is backing and why.
Physical AI Investor Framework — Positioning Across Tesla, Waymo, and the Robotics Race
Educational investor framework for physical AI: direct, indirect, and component plays across Tesla, Waymo, NVIDIA, and the robotics race. Not financial advice.
Physical AI Semiconductor Supply Chain — Nvidia Orin vs Thor vs Tesla FSD Chip
Nvidia Orin vs Thor vs Tesla FSD chip: how the AV inference compute supply chain — TSMC, Samsung, advanced packaging — constrains the Physical AI ramp.
Physical AI Simulation — Tesla Rerender vs Waymo CarCraft and the Synthetic Data Race
Tesla's neural rerender engine and Waymo's CarCraft platform represent two fundamentally different bets on how to generate synthetic training data at scale.
Physical AI Supply Chain Analysis — Hardware Makers, Bottlenecks, and the Ramp Constraints
Who makes the chips, sensors, and actuators powering physical AI fleets — and which supply chain bottlenecks could stall the ramp even if the software is ready.
Physical AI Supply Chain — Who Makes the Sensors, Chips and Actuators
Layer-by-layer map of the AV and humanoid robot supply chain: LIDAR, radar, cameras, AI compute, actuators, and geopolitical risks.
Tesla Dojo vs. Cloud Compute — The Build-vs-Buy Decision Behind FSD and Optimus Training
How Tesla's custom Dojo cluster compares to renting H100/B200 cloud compute — architecture, economics, and strategic implications for FSD and Optimus.
NVIDIA Pushes Memory Makers to 16-High HBM4 by Q4 2026, Raising the Bar for AI Accelerator Supply
Read this because The constraint on AI compute is migrating from logic to memory stacking. Whoever solves 16-high bonding first controls a chokepoint that every frontier GPU now depends on.
NVIDIA asked SK hynix, Samsung and Micron for 16-high HBM4 by Q4 2026 — a stacking jump that makes advanced packaging the AI supply-chain bottleneck.
Compute for Physical AI — The Silicon Powering the Robot Ramp (Mid-2026)
Benchmarking the inference and training chips powering autonomous vehicles and humanoid robots — Jetson Thor, HW4, Dojo, EyeQ Ultra — through mid-2026.
NVIDIA and TSMC Push AI Deep Into the Fabs: cuLitho Cuts Lithography Cost 20-50%, FabTwin Goes Digital
Read this because Not the capex headline: NVIDIA is selling compute into the supply chain that builds NVIDIA's own chips. cuLitho's 20-50% litho cost/cycle-time cut is the load-bearing number — it gates how fast and cheaply sub-2nm wafers reach volume. A vertical loop.
At GTC Taipei, TSMC adopted NVIDIA's CUDA-X stack across lithography, simulation and inspection, with cuLitho cutting litho cost up to 50%.
Nvidia, AMD, and CoreWeave all backed Tensormesh — KV-cache reuse becomes an inference primitive
Read this because Three rivals — Nvidia, AMD, CoreWeave — co-investing is the tell: KV-cache reuse (don't recompute what you already computed) is being treated as a foundational, neutral inference-stack layer. The economics of the inference era, in one round.
Tensormesh raised $20M from Nvidia, AMD, and CoreWeave and shipped Tensormesh Inference — productized KV-cache reuse claiming up to 10x lower latency/GPU cost.
Micron joins the $1 trillion club as HBM stops being a commodity
Read this because The number to watch isn't the trillion — it's the word "structural." UBS's 204% target hike rests on the thesis that AI memory has de-cyclicalized: HBM4 sold out, DRAM up 58-63%, pricing locked through 2029. If memory has escaped its cycle, the entire semi playbook changes.
Micron crossed a $1T market cap on May 26 — the 5th chipmaker — after UBS tripled its target to $1,625 and 2026 HBM4 capacity sold out under long-term deals.
Decart raises $300M Series B at $4B — Nvidia joins the world-models bet
Read this because Decart's pitch is the full stack: inference-optimization software (DOS) under real-time world models (Lucy, Oasis). The bet isn't the $4B valuation — it's that the team selling 8x token throughput also builds the world model that needs it. Vertical integration as moat.
Israeli AI startup Decart raised $300M Series B at $4B (May 18), led by Radical Ventures, Nvidia participating. DOS stack hits 1,600 tokens/sec — 8x average.
NVIDIA Q1 FY27: $81.6B revenue (+85%), data center nearly doubles, Q2 guide $91B
Read this because The number that resets the AI-capex debate: Q2 guide of $91B EXCLUDING China, above a $86B consensus. The bear case needed a demand crack; instead the run-rate accelerated. Hyperscaler 2026 capex tracking ~$725B (+77%) is the demand floor under it.
NVIDIA Q1 FY27 record revenue $81.6B (+85%), data center $75.2B (+92%), EPS $1.87 beat. Q2 guide $91B ex-China, above $86B consensus — 4th straight beat.
Cerebras CBRS opens at $350, closes +68% in 2026's biggest IPO debut
Read this because An IPO pop isn't a moat. The real test is whether +68% holds after the 6-month lockup — and whether anyone actually swaps NVDA inference for CBRS.
Cerebras priced at $185, opened at $350 (+89%), closed $311.07 (+68%). Implied market cap roughly $70B fully diluted. $5.55B raised, 20× oversubscribed.
Nvidia's 2026 AI equity portfolio crosses $40B — IREN warrants and Corning option cement the customer-financier model
Nvidia 2026 AI equity commitments cross $40B. New: 30M IREN warrants ($2.1B) + $3.4B managed-cloud for 5 GW at Childress TX, plus $3.2B Corning option.
Cerebras hikes IPO range to $125–$135 as orders hit ~$10B against $3.5B on offer
Cerebras hikes IPO range to $125–$135 as orders hit ~$10B vs $3.5B on offer. Implied valuation comfortably above $26.6B; CBRS prices May 13.
Cerebras Systems prices CBRS on Nasdaq May 13 — what the $25B AI chip IPO means
Cerebras Systems prices CBRS on Nasdaq May 13 at a $24.5–26.6B valuation. WSE-3 maker reported $510M revenue in 2025 and holds a $10B OpenAI deal.
Cloudflare Infire — disaggregated LLM inference beats vLLM by 20%, Unweight cuts model size 22%
Cloudflare Infire (Rust) uses disaggregated prefill/decode to beat vLLM 0.10 by 20% on H100s. Unweight achieves 15–22% lossless model weight compression.
NVIDIA GR00T N1.7 goes commercial — robot foundation model leaves research-only status
GR00T N1.7 VLA moves to commercial early access, removing research-only limits. Jensen Huang previewed GR00T N2 claiming 2× task success vs. current top VLAs.
NVIDIA acquires Groq for $20 billion — the LPU era ends
NVIDIA acquired Groq for $20 billion on Christmas Eve 2025, absorbing the LPU team in its largest-ever deal. Groq founder and 90% of engineers joined NVIDIA.