Summary
🤖 "Vera Rubin is already in production. Giant amounts of production incoming."
NVIDIA CEO Jensen Huang has shut down rumours of manufacturing delays, confirming that their next-generation NVL72 platform is officially in production. The more significant story, though, is what the first independent benchmarks reveal about energy efficiency.
First-ever customer benchmarks from CoreWeave show a 10-fold increase in token throughput per megawatt compared to the Grace Blackwell generation, measured at identical interactivity targets running DeepSeek-R1. That is a meaningful result for any organisation thinking about the real cost of deploying AI at scale.
For professional services, this efficiency gain makes multi-step reasoning and agentic workflows commercially viable. Complex engineering, legal, or environmental data analysis tasks can run longer and deeper without prohibitive computing costs.
As power grid constraints limit data centre expansion globally, this architecture offers a credible path for scaling enterprise AI systems without simply building bigger infrastructure.
How will highly efficient, multi-step AI agents change your daily professional workflows?
This is an iEnvi Machete news summary. Full summary and source references at the link below.
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Further detail
The technical details here are worth examining.
Silicon Benchmarks: CoreWeave plotted token throughput against interactivity using DeepSeek-R1. At identical interactivity targets, the NVL72 generated ten times more tokens per second per megawatt than Blackwell.
Custom CPU Architecture: The platform features the custom Vera CPU, utilising 88 custom Olympus cores and a unified memory architecture to deliver 1.2 terabytes per second of memory bandwidth. This supports 1.6 times more concurrent AI agents and 2.2 times faster orchestration than traditional x86 alternatives.
Liquid-Cooled Networking: To prevent communication fabric bottlenecks during multi-step reasoning, the system deploys the Spectrum-6 Ethernet platform with a fully liquid-cooled 102.4 terabit per second switch, doubling network bandwidth per rack.
Chiller-Free Design: The rack design uses a 45°C liquid cooling inlet temperature, enabling chiller-free dry-cooler operations that reduce data centre water consumption.
Background and context
NVIDIA’s next-generation "Vera Rubin" NVL72 platform has officially entered production, and the first-ever measured customer silicon benchmarks released by CoreWeave show a staggering 10x improvement in token throughput per megawatt compared to the Grace Blackwell NVL72 generation. Tested on the reasoning model DeepSeek-R1, this landmark result marks a fundamental shift in AI infrastructure metrics, moving the industry's focus away from raw peak FLOPs toward real-world energy efficiency and "intelligence per dollar".
Why It Matters for Professionals and Businesses
> "Vera Rubin is already in production. Giant amounts of production incoming."
This aggressive rollout signals NVIDIA's intent to aggressively lock in the "agentic post-training" layer of the stack, forcing cloud partners to transition to its co-designed hardware-software ecosystem before competitors can scale.
References and related sources
- Primary source: www.coreweave.com
- breachroad.com
- nvidia.com
- futurumgroup.com
- techi.com
- NEPM Assessment of Site Contamination
How iEnvi can help
iEnvi integrates technology and data-driven approaches into environmental consulting. We monitor AI and technology developments that affect how environmental professionals deliver services to clients.
This is an iEnvi Machete news summary. Prepared by iEnvi to summarise the source article for environmental professionals tracking AI, data, and technology developments that affect consulting and project delivery.
Published: 23 Jul 2026
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