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Source document· June 30, 2026

DeepSeek's DSpark Just Made Nvidia's Most Important New Bet Harder to Close

View original at nasdaq.com
DeepSeek's DSpark Just Made Nvidia's Most Important New Bet Harder to Close Key Points Nvidia's GPU business is not in question. What is in question is the incremental hardware layer Nvidia is now trying to sell on top of it…
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  • MLA compression reduced KV cache requirements by over 90% across DeepSeek's model generations.

    60% confidence
  • Per-user generation speed improved 60% to 85% on DeepSeek-V4-Flash and 57% to 78% on V4-Pro over the prior baseline.

    60% confidence
  • Consensus Data Center gross margin for fiscal 2027 is projected at 76.3%, slightly below fiscal 2024 and 2025 levels.

    60% confidence
  • Throughput at a fixed service level improved 51%.

    60% confidence
  • Full-year fiscal 2027 Data Center revenue consensus sits near $343 billion.

    60% confidence
  • Confirmed more than $1 trillion in combined Blackwell and Rubin purchase orders through 2027.

    60% confidence
  • DeepSeek-V4-Pro needs roughly 10% of the memory that V3.2 required for million-token conversations.

    60% confidence
  • The Groq 3 LPX and Vera Rubin NVL72 combination delivers up to 35 times higher inference throughput per megawatt for trillion-parameter models.

    60% confidence
  • Stock Advisor's total average return is 902%, a market-crushing outperformance compared to 207% for the S&P 500.

    60% confidence
  • The AWS-Cerebras disaggregated inference solution delivers inference an order of magnitude faster than existing GPU-only solutions.

    60% confidence

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Morgan Stanley & Co. LLC
Two significantly different EPS values (10.21 vs 2.68 USD_per_share) are reported for Morgan Stanley on the same observation date (2025-12-31). Fact A specifies FY 2025, while Fact B's 'N/A' fiscal period is ambiguous. If both represent FY 2025 annual EPS, these values directly conflict. The magnitude of the difference (3.8x) is too large to attribute to rounding or minor calculation variations. The missing fiscal period in Fact B raises data quality concerns, but same-date observation + same attribute should reference the same period.
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