EP688 | ๐ฅฝ
- The release of locked-up SpaceX and Cerebras shares will increase market liquidity. The initial impact may be substantial, but the long-term effects may not continue to expand.
- Cerebras uses high-bandwidth SRAM to accelerate per-token decoding, while AMD handles long-context processing. Their cooperation presents a division-of-labor approach to inference.
- NVIDIAโs 800VDC roadmap has sound engineering logic, but actual adoption remains constrained by existing power infrastructure, environmental reviews, costs, and yields. A white paper should not be treated as near-term revenue.
- Power Rack will likely remain mainstream in 2026โ2027. Power Center, UPS, and DC Power Block may emerge gradually at later stages.
- When assessing a market bottom, there is no need to aim for a perfectly precise entry. Positions should be built in stages, while using events and rebound strength to judge whether negative factors have truly been absorbed.
The Release of Locked-Up Shares Increases Liquidity, but the Initial Impact Does Not Necessarily Mean Long-Term Bad News
The host first discussed the gradual release of SpaceX shares ahead of a potential listing. The market had initially expected shares entering circulation to immediately push prices lower, but prices instead appeared to bottom and rise after the lock-up expired. The heavier selling pressure seemed to have emerged before the release. Since additional shares will continue to be released in stages, the short-term increase in supply could certainly cause volatility, but the first wave of impact is usually the most pronounced.
His core view is that increased liquidity is not necessarily a bad thing. When ownership becomes more widespread and shares are no longer controlled by a small group, price discovery moves closer to market consensus. Even for a company as large as SpaceX, the experience of small and mid-cap stocks can offer a rough analogy: the more buyers there are, the less influence any single seller has over the price. A lock-up expiration should not be understood only as selling pressure; it also means more market participants and greater trading depth.
The host applies the lock-up expiration experience of small and mid-cap stocks to SpaceX, but the two may differ substantially in supply size, ownership concentration, and buyer depth. If the comparison is not truly like-for-like, โthe first wave has the greatest impactโ remains an observation rather than a well-established rule. The next time you encounter a lock-up expiration narrative, first ask whether the supply structures being compared are genuinely comparable.
Cerebras Splits Inference into Long-Context Processing and Low-Latency Decoding
The host revisited Cerebrasโ chip architecture. AI inference can roughly be divided into two stages: first processing the prompt data in a long context, then generating tokens one by one. The former emphasizes overall throughput, while the latter places greater importance on memory bandwidth and latency. Cerebras uses large chips paired with SRAM in an effort to gain an advantage in per-token decoding.
The architecture announced by Cerebras and AMD assigns different tasks to the two companies: AMDโs Helios handles prompts and long-context processing, while Cerebrasโ WSE handles low-latency decoding. This division of labor does not force every task onto a single chip; instead, hardware is allocated according to the needs of each inference stage. The host believes Cerebrasโ recent increase in production capacity and improved supply-chain visibility are worth watching, but the supply of unlocked shares remains an investment factor that must be considered at the same time.
Another example is AMDโs approach of acquiring technology that writes model logic directly into chips, conceptually similar to an FPGA. This can reduce data movement and decision-making latency, making it particularly attractive for trading applications where differences of a few milliseconds matter greatly. By comparison, Cerebrasโ SRAM approach is more of a compromise between efficiency and practicality.
800VDC Is Engineering-Driven, but a White Paper Is Not a Guarantee of Near-Term Revenue
The market has recently circulated NVIDIAโs 800VDC white paper. The host believes white papers typically combine plans that can be implemented in the near term with more distant ideal solutions. They therefore need to be separated when reading them: which developments could happen in the next 1 to 2 years, and which are ambitious long-shot plans requiring new equipment, additional budgets, and higher yields?
Break the 800VDC white paper into โimplementable within one to two yearsโ and โlonger-term plans requiring new equipment, budgets, and yields,โ rather than treating the engineering roadmap directly as near-term revenue. This layered approach separates technical feasibility from commercial deployment; when reading any roadmap, first identify its timeline, cost, and mass-production thresholds.
Existing data centers cannot realistically be demolished and rebuilt simply to achieve a theoretically optimal voltage configuration. Actual adoption will be constrained by existing power centers, equipment upgrades, environmental reviews, costs, and supply chains. Even if a solution is technically more elegant, it may still lose commercially to an alternative that is more cumbersome but cheaper and more reliable if the former is too expensive or unstable.
The hostโs cited view is that if 800VDC reaches 5% penetration over the next year, that would already qualify as meaningful progress.
Power Rack Comes First in 2026โ2027, with Power Center Later
The host divides the power architecture into several stages. In the short termโnamely 2026โ2027โPower Rack will likely remain mainstream. Beneficiaries include AC-800V PSUs, 800V-to-54V conversion equipment, capacitors, connectors, and BBUs.
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