Los Alamos tests NVIDIA Vera CPUs for supercomputers targeting 12x faster performance ⁠76%

By Aamir Khollam⁠44%

7/17/2026, 4:39:02 PM

BS Summary: This article contains 20 faulty reasoning types, including Ambiguity (Equivocation), Appeal to Authority, and Confirmation Bias, with Optimism Bias as the most egregious example at 50.1% saturation with 290 hits. Analysis detected 1,071 faulty-reasoning hits from 579 analyzed words, generating a BS Score of 67.2% and a BS Rank of ⁠76% (5,433 of 21,887 articles). This article is worse (more manipulative) than 75.20% of the article peer group.

Los Alamos National Laboratory has taken another step toward its next generation of supercomputing after receiving the first NVIDIA Vera CPU server for an early test deployment, giving researchers their first opportunity to evaluate hardware that will eventually power the Mission and Vision systems. 
The delivery marks the beginning of a broader testing phase before the two flagship supercomputers enter service later this decade. 
Engineers at Los Alamos will use the test platform to validate software, optimize scientific codes, and measure performance on real laboratory workloads before full-scale deployment. 
Early hardware arrives 
Mission and Vision will be built by HPE around NVIDIA’s Vera Rubin platform, combining Vera CPUs with Rubin GPUs. 
The systems target demanding high-performance computing (HPC) workloads alongside emerging agentic AI applications that can automate portions of scientific research and engineering analysis. 
Los Alamos expects the new architecture to deliver major gains over its existing systems. 
According to Ben Santos, director of the laboratory’s HPC Platforms program, Mission and Vision should provide more than three times the CPU performance of the Crossroads supercomputer. 
Each processor will also offer more than four times the memory available per core while consuming less power. 
Santos said the Rubin GPUs are designed to deliver more than 12 times the AI performance of the Hopper GPUs used in Venado. 
He said those improvements should help researchers solve national security and scientific problems more efficiently. 
Designed through codesign 
Unlike off-the-shelf supercomputers, Mission and Vision emerged from years of joint engineering between Los Alamos, NVIDIA, and HPE. 
Scientists worked closely with hardware designers to shape processor features around the laboratory’s computing requirements instead of adapting software after the hardware was finished. 
Dan Ernst, senior director of superco mputing products at NVIDIA, said scientific computing now depends on combining simulation, AI and agentic reasoning. 
He added that the Vera Rubin platform provides the memory bandwidth, energy efficiency, and AI acceleration needed for those workloads. 
HPE also emphasized the long-running collaboration with the Department of Energy laboratory. 
Trish Damkroger, senior vice president and general manager of HPC & AI Infrastructure Solutions at HPE, said the companies have spent decades designing systems around specific mission requirements and expect Mission and Vision to extend that work. 
Los Alamos architect Galen Shipman said engineers concentrated on improving memory bandwidth for each CPU core while strengthening support for irregular computing workloads. 
Those efforts produced significant performance and efficiency gains for several of the laboratory’s most demanding applications. 
AI drives next phase 
The laboratory has played an important role in advancing Arm-based supercomputing. 
It became one of the first major organizations to deploy NVIDIA’s Grace Hopper architecture through the Venado supercomputer, installed in 2025. 
Vera CPUs expand that roadmap by supporting AI-driven modeling, simulation, and autonomous research workflows. 
Laboratory officials believe agentic AI can reduce analysis times from months to minutes for some scientific problems, allowing researchers to focus on new questions instead of repetitive computational tasks. 
Mission and Vision will run on HPE’s Cray Supercomputing GX5000 platform and connect through NVIDIA Quantum-X800 InfiniBand networking. 
A third system, Veritas, will also arrive to support Laboratory Directed Research and Development projects. 
Los Alamos expects the first purpose-built Mission architecture, known as Starlight, to arrive later in 2026 using the NVIDIA Vera Rubin NVL72 full-rack design. 
Full deployments of Mission and Vision are scheduled for 2027 and 2028, marking another major upgrade for one of the United States’ leading supercomputing centers. 
Article reasoning-pattern comparisonThis article: 15.5%Aamir Khollam: 2.9%Interesting Engineering: 3.9%Confirmation Bias15.5%This article: 10.2%Aamir Khollam: 1.5%Interesting Engineering: 1.2%Anchoring Bias10.2%This article: 3.6%Aamir Khollam: 1.7%Interesting Engineering: 2.4%Availability Heuristic3.6%This article: 0.0%Aamir Khollam: 1.3%Interesting Engineering: 1.2%Representativeness Heuristic0.0%This article: 2.8%Aamir Khollam: 0.4%Interesting Engineering: 0.3%Hindsight Bias2.8%This article: 7.4%Aamir Khollam: 2.6%Interesting Engineering: 5.2%Overconfidence Bias7.4%This article: 3.8%Aamir Khollam: 7.2%Interesting Engineering: 6.4%Framing Effect3.8%This article: 0.0%Aamir Khollam: 0.4%Interesting Engineering: 0.2%Loss Aversion0.0%This article: 6.4%Aamir Khollam: 0.9%Interesting Engineering: 0.6%Status Quo Bias6.4%This article: 4.1%Aamir Khollam: 0.5%Interesting Engineering: 0.5%Sunk Cost Effect4.1%This article: 50.1%Aamir Khollam: 22.9%Interesting Engineering: 16.9%Optimism Bias50.1%This article: 0.0%Aamir Khollam: 0.1%Interesting Engineering: 0.6%Pessimism Bias0.0%This article: 2.8%Aamir Khollam: 0.4%Interesting Engineering: 0.9%Negativity Bias2.8%This article: 1.9%Aamir Khollam: 4.9%Interesting Engineering: 4.6%Self-Serving Bias1.9%This article: 0.0%Aamir Khollam: 0.1%Interesting Engineering: 0.2%Fundamental Attribution Error0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Actor-Observer Bias0.0%This article: 0.0%Aamir Khollam: 0.3%Interesting Engineering: 0.9%In-Group Bias0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.1%Out-Group Homogeneity Bias0.0%This article: 10.0%Aamir Khollam: 4.2%Interesting Engineering: 5.2%Halo Effect10.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Horn Effect0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Dunning-Kruger Effect0.0%This article: 3.6%Aamir Khollam: 1.0%Interesting Engineering: 1.1%Recency Bias3.6%This article: 2.1%Aamir Khollam: 0.3%Interesting Engineering: 0.2%Primacy Effect2.1%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Blind-Spot Bias0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Ad Hominem0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Straw Man0.0%This article: 18.8%Aamir Khollam: 7.8%Interesting Engineering: 8.6%Appeal to Authority18.8%This article: 3.1%Aamir Khollam: 1.2%Interesting Engineering: 1.5%False Dilemma3.1%This article: 0.0%Aamir Khollam: 0.4%Interesting Engineering: 0.3%Slippery Slope0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.1%Circular Reasoning0.0%This article: 5.0%Aamir Khollam: 4.4%Interesting Engineering: 5.1%Hasty Generalization5.0%This article: 0.0%Aamir Khollam: 0.1%Interesting Engineering: 0.1%Red Herring0.0%This article: 0.0%Aamir Khollam: 0.4%Interesting Engineering: 0.8%Bandwagon0.0%This article: 0.0%Aamir Khollam: 1.8%Interesting Engineering: 2.3%Appeal to Emotion0.0%This article: 0.0%Aamir Khollam: 0.6%Interesting Engineering: 1.2%Begging the Question0.0%This article: 10.2%Aamir Khollam: 2.1%Interesting Engineering: 2.2%Post Hoc (False Cause)10.2%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Tu Quoque0.0%This article: 0.0%Aamir Khollam: 0.5%Interesting Engineering: 0.6%Burden of Proof0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.2%Appeal to Nature0.0%This article: 0.0%Aamir Khollam: 0.5%Interesting Engineering: 0.3%Composition/Division0.0%This article: 2.8%Aamir Khollam: 0.7%Interesting Engineering: 0.7%Anecdotal2.8%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.1%No True Scotsman0.0%This article: 20.7%Aamir Khollam: 1.6%Interesting Engineering: 2.6%Ambiguity (Equivocation)20.7%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.1%Middle Ground0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Personal Incredulity0.0%This article: 0.0%Aamir Khollam: 0.1%Interesting Engineering: 0.1%Special Pleading0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Genetic Fallacy0.0%This article: 0.0%Aamir Khollam: 1.1%Interesting Engineering: 1.7%Unattributed Quote0.0%This article: 0.0%Aamir Khollam: 0.8%Interesting Engineering: 0.7%Quote-first Misdirection0.0%This article: 0.0%Aamir Khollam: 3.2%Interesting Engineering: 3.9%Biased Writer Voice0.0%This article: 0.0%Aamir Khollam: 0.1%Interesting Engineering: 0.7%Indoctrination0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.0%Politically Left Leaning Bias0.0%This article: 0.0%Aamir Khollam: 0.0%Interesting Engineering: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Aamir Khollam: 8.9%Interesting Engineering: 10.7%Attempt to Sell a Product or S…0.0%

579 words analyzed.

Speakers

6speakers53%attributed speech271writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 12 words • 0.0% coverageWriter's voice • 44 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageLos Alamos National Laboratory • 25 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageHPE • 19 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageLos Alamos National Laboratory • 14 words • 0.0% coverageBen Santos • 27 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageBen Santos • 23 words • 0.0% coverageBen Santos • 15 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageDan Ernst • 22 words • 0.0% coverageDan Ernst • 20 words • 0.0% coverageHPE • 12 words • 0.0% coverageTrish Damkroger • 37 words • 0.0% coverageGalen Shipman • 23 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageLos Alamos National Laboratory • 29 words • 0.0% coverageHPE • 18 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageLos Alamos National Laboratory • 24 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverage
Selected voice

Ben Santos

100%flagged-word coverage
65 attributed words21% of attributed speech100% writer coverage

No manipulation-pattern hits were found in this speaker's attributed words or the writer's voice.

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.