AI

Nvidia, Salesforce Crush Bear Narratives in One Blow

Nvidia AI GPU: Nvidia, Salesforce Crush Bear Narratives in One Blow
TL;DR

Nvidia’s Hopper GPU and Salesforce’s AI‑infused platform delivered earnings that shattered two dominant bear cases, redefining the future of AI hardware and enterprise cloud. The tech giants’ results signal a seismic shift in how businesses harness AI.

Bear Cases Vanquished: Nvidia and Salesforce Turn the Tables

When CNBC’s Jim Cramer announced that Nvidia and Salesforce had delivered earnings that upended two prevailing bear narratives, the tech press was stunned. The first narrative—AI’s threat to traditional data‑center workloads—was challenged by Nvidia’s record‑breaking Hopper GPU performance. The second—enterprise software’s inability to keep pace with generative AI—was refuted by Salesforce’s AI‑first revenue surge.

Both companies reported Q4 2025 results that surpassed analysts’ expectations by wide margins, delivering revenue growth, profitability, and product innovation that left skeptics scrambling for explanations.

$26.5BNvidia Q4 Revenue
$7.2BSalesforce Q4 Revenue
80 TFLOPSHopper H100 FP16

Hopper: The AI Super‑Chip That Makes the Competition Look Outdated

Nvidia’s Hopper architecture, launched in late 2024, is built on a 7nm process and features 80GB of HBM3 memory. The flagship H100 GPU delivers 80 TFLOPS of FP16 compute, a 4‑fold increase over the Ampere A100’s 19.5 TFLOPS. This leap in raw performance translates to faster model training and inference for large‑scale generative AI workloads.

Feature Hopper (H100) Ampere (A100)
Process Node 7nm 7nm
FP16 TFLOPS 80 19.5
Memory 80GB HBM3 40GB HBM2
Release Year 2024 2020

Salesforce: Enterprise Cloud Embraces Generative AI

Salesforce’s Q4 2025 earnings showed a 20% YoY revenue increase, driven largely by its Einstein GPT integration. The platform now offers generative AI assistants that can draft email responses, generate code snippets, and auto‑populate CRM fields—features that were previously the domain of specialized AI startups.

Feature Einstein GPT (2025) Einstein AI (2016)
Generative Capabilities Chat‑based drafting, code generation, data synthesis Predictive analytics, intent detection
Integration Depth Native to Lightning, Flow, and Einstein Bots Standalone API services
Release Year 2025 2016

Why the Bear Cases Were So Vulnerable

  • AI’s computational demands had been underestimated; Hopper’s 80‑TFLOP throughput proved that large‑scale training is now feasible at lower cost.
  • Enterprise software had been perceived as slow to adopt generative AI; Salesforce’s rapid integration demonstrates that cloud platforms can pivot quickly.
  • Both companies invested heavily in R&D and strategic partnerships, ensuring their product roadmaps stayed ahead of market expectations.

These earnings releases do more than just boost quarterly numbers—they signal a paradigm shift. Nvidia’s Hopper confirms that AI hardware can dominate traditional workloads, while Salesforce’s AI‑first strategy shows that enterprise software can thrive in a generative‑AI era. The bear narratives, once solidified on a foundation of technical limitations and market inertia, have been overturned by tangible, high‑performance innovations.

Sources: CNBC, Pluang, 24/7 Wall Street
Share This Story:
Tech Tabloid Desk

Tech Tabloid Desk

Editorial & Intelligence Desk

The Tech Tabloid Editorial Desk delivers breaking scoops, architectural deep-dives, hardware benchmarks, and verified analysis across artificial intelligence, semiconductors, cybersecurity, and global venture capital.

Keep Reading
Loading next Tech Tabloid story...