En 30 secondes
In this February 2026 short, Matthew Berman points to rising memory prices and worries that GPU prices could climb further. He discusses Nvidia CEO Jensen Huang’s comments about potentially bringing back older cards; the suggestion was noncommittal, not an announced production plan.
- 1Price pressureBerman discusses rising prices and predicts the RTX 5090 could reach $5,000.
- 2Memory chartThe chart shows DDR4 desktop RAM prices and does not directly measure graphics memory prices.
- 3Older generationsHuang entertained the possibility of older GPUs at CES; he did not announce a production plan.
À retenir
- Berman’s $5,000 RTX 5090 figure is a prediction, not an established universal price.
- The displayed chart tracks a DDR4 desktop memory kit, not the GDDR7 memory used by an RTX 5090.
- Huang described older GPUs as a possibility, not a confirmed Nvidia product decision.
Lire le texte remanié, chapitre par chapitre
GPU and memory prices
Berman describes GPU price pressure and shows a memory-price chart. His future price figure is a prediction.
GPU prices have been rising, and I worry that some cards could double or triple in price. I suggest the RTX 5090 might reach $5,000, but that is a prediction about possible future prices, not a confirmed price across all sellers. Memory supply is one source of pressure on hardware costs.
The graph I show tracks the average price of a DDR4-3600 2 × 16 GB desktop memory kit. It illustrates a rise in that particular RAM market, not the price of the GDDR7 graphics memory used by the RTX 5090, so it does not establish the size of a GPU memory cost increase.
An older-generation possibility
He discusses a potential return to previous GPU generations. Huang’s comments were noncommittal.
Nvidia’s RTX 30, 40 and 50 series represent successive GPU generations. I discuss the possibility of reviving older models to ease shortages. At CES 2026, CEO Jensen Huang responded to a question by saying this was possible and suggested newer AI technology might be brought to some older GPUs, but he did not commit Nvidia to restarting production.
Sur la même chaîne
34:21EN
Matthew Berman· 27 oct. 2026Matthew Berman Examines Anthropic’s IPO Filing, AI Growth and GovernanceMatthew Berman, Sam Altman · Forward FutureThe presenter reviews the S-1’s financial metrics, compute strategy and voting structure while questioning the tension between rapid AI development and safety.
0:26ENMatthew Berman· 25 oct. 2026Sam Altman on Human Values and Problem-Solving in an AI WorldSam Altman · OpenAIIn a short interview excerpt, Altman considers the enjoyment of solving hard problems and the human role in interpreting results.
0:36ENMatthew Berman· 25 oct. 2026Kimi K3.1 and a Rubik’s Cube Solver DemonstrationMatthew Berman · Forward FutureMatthew Berman shows a scrambled virtual cube being solved and gives the Kimi K3.1 test a favorable assessment.
0:21ENMatthew Berman· 24 oct. 2026An AI-Generated Kimi Benchmark Chart Used Invented ScoresMatthew Berman · Forward FutureMatthew Berman asks for a graph of Kimi K3.1 Pro benchmarks, then discovers that the displayed figures are illustrative placeholders.
25:50ENMatthew Berman· 24 oct. 2026Kimi K3.1 Pro Tested: Strong 3D Demos, Uneven Results and Competitive PricingMatthew Berman · Forward FutureMatthew Berman tests the open-weight model on coding, 3D rendering and visual explanations, then compares benchmark results and prices.
32:20ENMatthew Berman· 23 oct. 2026Who Is Local AI For? The Costs, Trade-offs and a Hybrid FutureMatthew Berman · Forward FutureMatthew Berman weighs data control and independence against hardware cost, setup complexity and inference speed.