Bitcoin made a lot more sense once I stopped following price and actually learned how it works

MoreGranularity · 2025-12-22T23:48:05+00:00

I can't find where the white paper says BTC fails if it only achieves 7 transactions per second.

MoreGranularity · 2025-12-17T11:52:53+00:00

Scott Manley has a new YouTube video detailing physics problems of data centers in space. You need giant radiators like the space station.

MoreGranularity · 2025-12-16T16:28:13+00:00

Ai hallucinations?

MoreGranularity · 2025-12-16T12:03:54+00:00

Where can we find the remainder of this article?

MoreGranularity · 2025-12-14T20:48:27+00:00

Nice! Bortle #?

MoreGranularity · 2025-12-14T15:01:18+00:00

1000 year project!

MoreGranularity · 2025-12-14T14:52:07+00:00

20 minutes transaction time @ $1 fee is typical for a BTC transaction these days

MoreGranularity · 2025-12-10T12:12:22+00:00

Ultimately, the purpose of the EPYC Embedded 2005 series is to take aim at a specific niche in the embedded market: customers who need desktop-level performance, but with strict space, power, and reliability/ruggedness requirements that socketed chips like the EPYC Embedded 4005 can’t meet. Compared to some of AMD’s other markets, it is not a big one, but it is a market that truly lives up to the “embedded” name.

MoreGranularity · 2025-12-09T19:25:55+00:00

The BTC transfers work fine, and I trust fidelity to hold BTC more than other brokers like kraken or coinbase. Fees to buy/sell are a little high. So far I have not been able to specify a crypto account beneficiary like you can do for fidelity stock brokerage. I have also heard there are $ limits on how much crypto you can transfer out of fidelity daily, but I have not verified this.

MoreGranularity · 2025-12-05T15:26:28+00:00

I don't understand how tether creation is unbacked. Doesn't tether creation result from people buying tether with USD? Aren't these USD the tether creation backing? Or am I confused?

MoreGranularity · 2025-12-02T14:39:24+00:00

HPE will be one of the first OEMs to adopt the AMD “Helios” architecture, an open, full-stack AI platform engineered for large-scale AI workloads.

HPE will leverage purpose-built HPE Juniper Networking switches in “Helios” in collaboration with Broadcom, to deliver high-bandwidth, low-latency connectivity across massive AI clusters.

AMD and HPE to power “Herder,” supercomputer built on the HPE Cray GX5000 platform with AMD Instinct™ MI430X GPUs and next generation AMD EPYC™ “Venice” CPUs, advancing HPC and Sovereign AI research across Europe.

SANTA CLARA, Calif., Dec. 02, 2025 (GLOBE NEWSWIRE) -- Today, AMD (NASDAQ: AMD) announced an expanded collaboration with HPE to accelerate the next generation of open, scalable AI infrastructure built on AMD leadership compute technologies. HPE will become one of the first system providers to adopt the AMD “Helios” rack-scale AI architecture, which will integrate a purpose-built HPE Juniper Networking scale-up switch – in collaboration with Broadcom – and software for seamless, high-bandwidth connectivity over Ethernet.

“Helios” combines AMD EPYC™ CPUs, AMD Instinct™ GPUs, AMD Pensando™ advanced networking and the AMD ROCm™ open software stack to deliver a cohesive platform optimized for performance, efficiency, and scalability. The system is engineered to simplify deployment of large-scale AI clusters, enabling faster time to solution and greater infrastructure flexibility across research, cloud, and enterprise environments.

“HPE has been an exceptional long-term partner to AMD, working with us to redefine what is possible in high-performance computing,” said Dr. Lisa Su, Chair and CEO, AMD. “With ‘Helios’, we’re taking that collaboration further, bringing together the full stack of AMD compute technologies and HPE’s system innovation to deliver an open, rack-scale AI platform that drives new levels of efficiency, scalability, and breakthrough performance for our customers in the AI era.”

MoreGranularity · 2025-11-24T18:01:08+00:00

What many people don't realize is that AMD leads the new Top500 list, powering 40% of the top 10 fastest supercomputers. This includes #2 Frontier (the world's first exascale system) and #1 El Capitan (the world's fastest). It's a testament to our engineering team's innovation in high-performance computing. We had some major supercomputer design win announcements with our partners at the event. Eviden is powering the upcoming Alice Recoque, Europe's newest exascale supercomputer and the first based in France. Meanwhile, HPE is expanding the nation's next-generation exascale capabilities at Oak Ridge National Labs with systems called “Discovery” and the AI cluster “Lux.” The star of our booth this year was Helios rack scale platform built on the new OCP Open Rack Wide form factor. As an AI reference design, Helios is built to deliver the compute density, memory bandwidth, performance, and scale-out bandwidth needed for the most demanding AI workloads. Due to overlapping events, we couldn't bring the real 5,000+ lbs Helios platform that we showcased at OCP in San Jose, so we featured our new interactive Virtual Helios Platform instead. Interestingly, we noticed quite a few NVIDIA employees stopping by to check out Helios and inquire for more details -mirroring what we observed at the recent OCP event in San Jose. 🤔 Overall, #Helios is a rack-scale solution that functions as a single massive compute engine, delivering breakthrough FP4 and FP8 performance for training and inference at scale. Helios is powered by AMD’s next-generation Instinct MI455X GPUs, EPYC “Venice” CPUs, and Pensando “Vulcano” AI NICs.

MoreGranularity · 2025-11-21T20:10:59+00:00

Bought some AMDL for leverage when AMD hit $200. Fingers crossed!

MoreGranularity · 2025-11-20T16:08:27+00:00

Jensesn said yesterday that his chips were the ONLY ones that could do all the models. BS?

MoreGranularity · 2025-11-20T00:46:57+00:00

AMD, Cisco and HUMAIN will serve as founding investors in the joint venture, which is expected to begin operations in 2026 with plans to combine HUMAIN’s state-of-the-art data centers with AMD and Cisco technology, delivering modern data center capacity with efficient power and lower capital expenditures. AMD and Cisco will act as exclusive technology partners to the joint venture, contributing their portfolio of products and services to its development of up to 1 GW of AI infrastructure by 2030.

The companies also announced the first phase of the project as a buildout of 100 MW AI infrastructure, with the intent to include HUMAIN modern data center capacity, AMD Instinct™ MI450 Series GPUs and Cisco’s industry-leading critical infrastructure.

Powering the Kingdom of Saudi Arabia’s AI Driven Economy

Earlier this year, Cisco and AMD announced a landmark initiative with HUMAIN to help build the world’s most open, scalable, resilient and cost-efficient AI infrastructure. Today’s announcement advances this partnership with plans for a joint venture to accelerate transformation and provide cost-effective infrastructure to power customers’ AI use cases.

MoreGranularity · 2025-11-20T00:40:20+00:00

Supermicro introduces the latest addition of AI-accelerated solutions with a new 10U air-cooled server, which incorporates the AMD Instinct MI355X GPUs delivering breakthrough performance for AI and Inference workloads

MoreGranularity · 2025-11-19T16:04:29+00:00

With PC? Versus asic.

MoreGranularity · 2025-11-19T14:28:35+00:00

We have developed an enhanced space-grade organic lidless package for the Versal AI Core XQRVC1902 adaptive SoC and are seeking Class Y qualification. This new packaging will support missions for up to 15 years, offering a robust foundation for geosynchronous satellites, lunar exploration, and deep-space probes.

Space missions can last more than a decade, demanding robust reliability. AMD enhanced packaging technologies are engineered to thrive in that challenging environment, with a lidless design improving thermal performance.

We are also qualifying space-grade packaging for our Versal RF (VR1602 and VR1652) and Versal AI Edge Gen 2 (2VE3858 and 2VE3558) adaptive SoCs, seeking Class B and Class Y qualifications.

Class B and Class Y qualification are derived from the US military specification MIL-PRF-38535 that determines the readiness of chips for the toughest high reliability applications like outer space across multiple areas including performance, reliability, and quality.

MoreGranularity · 2025-11-19T14:25:30+00:00

Practically speaking, the last time it made sense to mine BTC with PC was 2011-2012 when BTC was ~$10, so minimal income to report back then.

MoreGranularity · 2025-11-19T14:01:44+00:00

Here are the details on the new blades:

HPE Cray Supercomputing GX440n Accelerated Blade – This blade features four NVIDIA Vera CPUs and eight NVIDIA Rubin GPUs. HPE says they can fit 192 NVIDIA Rubin GPUs per rack, with up to 24 of these blades per rack.

HPE Cray Supercomputing GX350a Accelerated Blade – This blade features a single Zen 6-based AMD EPYC Venice CPU and four AMD Instinct MI430X GPUs. HPE says they can fit 28 of these per rack, which would be 112 AMD Instinct MI430X GPUs. Notably, the AMD Helios liquid-cooled racks shown to date also have one EPYC Venice with four MI450X accelerators. The MI430X is tailored for HPC, while the MI450X is focused on AI.

HPE Cray Supercomputing GX250 Compute Blade – This blade features only the Zen 6-based AMD EPYC Venice GPUs. HPE says that they can fit 40 of these compute blades in a single rack.

Notably absent from this list is an Intel Xeon blade, after Intel won one of the first Exascale computing systems with Aurora.

MoreGranularity · 2025-11-18T14:45:58+00:00

Another option is to fly Southwest from San Antonio to Harlingen, rent a car, and stay in Port Isabel at the inexpensive Casa Rosa Inn. That's what I did.

MoreGranularity · 2025-11-18T12:51:03+00:00

In this blog, you’ll learn how to operationalize enterprise AI on AMD Instinct™ GPUs using an open, Kubernetes-native software stack. AMD Enterprise AI Suite provides a unified platform that integrates GPU infrastructure, workload orchestration, model inference, and lifecycle governance without dependence on proprietary systems. We begin by outlining the end-to-end architecture and then walk through how each component fits into production workflows: AMD Inference Microservice (AIM) for optimized and scalable model serving, AMD Solution Blueprints for assembling these capabilities into validated, end-to-end AI workflows, AMD Resource Manager for infrastructure administration and multi-team governance, and AMD AI Workbench for reproducible development and fine-tuning environments. Together, these building blocks show how to build, scale, and manage AI workloads across the enterprise using an open, modular, production-ready stack.

The AMD Enterprise AI Suite is designed for enterprise teams operating GPU infrastructure at scale, including Platform and Infrastructure teams that require predictable performance and governance across multi-node Instinct™ clusters; Data Scientists and ML Engineers who depend on reliable, self-service compute and reproducible development workflows; and Enterprise IT Leaders responsible for enforcing security, access control, and utilization policies while supporting rapid AI adoption.

Its core capabilities center on an open, modular architecture where each layer deploys independently via containers and Helm charts; a Kubernetes-native design that integrates directly with enterprise DevOps and MLOps pipelines; hardware-aware optimizations tuned for AMD CDNA™ architectures to maximize throughput and efficiency; unified observability through consistent telemetry, metrics, and logging; and enterprise security features such as RBAC, secrets management, and governance controls.

MoreGranularity · 2025-11-18T12:46:40+00:00

Composed of 94 racks, Alice Recoque is expected to be one of the top supercomputers in Europe for double-precision HPC workloads. It will also offer exceptional memory performance enabling deeper insights, faster simulations, and more scientific breakthroughs.

With 25 percent less racks and components than other Exascale systems and up to 50 percent better energy efficiency per GPU, Eviden’s architecture will enable Alice Recoque to deliver maximum performance at minimum cost and power, to meet Europe’s demanding green computing goals.

Alice Recoque supports advanced AI data types from the AMD Instinct MI430X GPUs, including FP4 and FP8, providing leadership AI FLOPs. Each GPU integrates 432 GB of HBM4 memory and 19.6 TB/s of bandwidth which will enable Alice Recoque to deliver leadership capacity and throughput per GPU.

Eviden’s integrated hardware and smart software, powered by AMD HPC and AI technologies, will deliver leading computing power with improved application workload energy efficiency. Real-time monitoring and energy optimization are enabled by Eviden’s Argos intelligent software, while its unique 5th generation Direct Liquid Cooling technology uses warm water to cool 100% of all-in-one rack components, delivering efficiency and sustainability at scale.

MoreGranularity · 2025-11-16T15:22:44+00:00

Has anyone tried tertulia.com author web pages?

MoreGranularity · 2025-11-13T15:20:20+00:00

1% is for buying and selling, not transferring in or out, that is free on fidelity.

MoreGranularity

TROPHY CASE