#h200

[alonemia]

Summer series

[wristwatchcollector-2025]

2005

2008

2011

Notice the yellow LTO conduction sticker since 2013.

2014

Pay attention on the hubcaps design on the 2005, 2008, 2011 & 2014 models.

I did my research on the fucking Toyota Hiace Commuter, the hubcaps on the 2005 variant are the same as the ones overseas, in Africa, the Middle East, here in Southeast Asia, Latin America, South America, & Oceania.

The Philippines is the only country where the Toyota Hiace Commuter's hubcaps underwent a fucking design change since 2011, in other countries, the hubcaps design remain the same.

Why the fuck did the shithead, fuckfaced, ball-breaking, motherfucking dicks at Toyota have to change the fucking hubcap design of the fucking Toyota Hiace Commuter for the fucking Philippine market?

W

H

Y

T

H

E

F

U

C

K

?

& 2020, Toyota ditched the hubcaps to keep the price down.

People are buying hubcaps for it.

I recommend the 2005 Toyota Hiace Commuter hubcaps, you can pick them up on places like Facebook & Shopee.

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[servermo]

NVIDIA H100 vs H200 vs B200: The AI Bare Metal Guide

Compare H100 vs H200 vs B200 for LLM inference. Stop thermal throttling, beat the cloud tax, and lower your true cost-per-token on bare meta

NVIDIA H100 vs H200 vs B200: The AI Bare Metal Guide

CTOs and AI Research leads are burning millions of dollars monthly by looking at the wrong metrics. They stare at peak TFLOPS on a spec sheet, rent a public cloud instance, and wonder why their 70-billion-parameter Llama 3 model suffers from catastrophic latency in production.

The market has shifted from compute-bound training to memory-bound generative AI inference. In this landscape, cloud virtualization overhead, thermal throttling, and multi-GPU sharding limitations quietly destroy your cost-per-token economics.

Here is the SRE and Data Scientist guide to AI hardware on Bare Metal:

1. The "8-GPU Math" Illusion

When comparing Hopper architecture, amateurs look at a single GPU. Elite architects look at the node. Both the H100 and H200 share identical core compute (3,958 FP8 TFLOPS). The difference lies entirely in High Bandwidth Memory (HBM):

• NVIDIA H100 SXM5: 80 GB HBM3 | 3.35 TB/s Bandwidth | 640 GB Node VRAM | 700W TDP

• NVIDIA H200 SXM: 141 GB HBM3e | 4.8 TB/s Bandwidth | 1.1 TB Node VRAM | 700W TDP

• NVIDIA B200 (Blackwell): 192 GB HBM3e | 8.0 TB/s Bandwidth | 1.5 TB Node VRAM | 1,000W TDP

Why 1.1 Terabytes Matters:

A 70B parameter model in 16-bit precision requires ~140GB just for weights. On an H100 (80GB), you are forced to split the model across two GPUs using Tensor Parallelism, introducing inter-GPU latency. On an H200 (141GB), the entire model fits on a single card with ample room for long KV Caches!

DeepSeek R1 Note: For massive models like DeepSeek R1 (671B MoE), even 1.1TB isn't enough for raw 16-bit. Teams use FP8 Quantization to fit weights and KV Caches on an 8x H200 Bare Metal cluster without triggering Out-of-Memory (OOM) crashes.

2. The 84°C Thermal Throttling Trap

In standard air-cooled data centers, sustained LLM workloads push GPU junction temperatures to 84°C within 90 minutes.

At this threshold, NVIDIA silicon automatically downclocks to cool down. Your inference latency spikes, and training times extend by weeks. High-density bare metal cooling maintains temperatures at a frosty 40°C–50°C, ensuring you extract 100% of your paid compute 24/7/365.

3. The 15% Cloud Hypervisor Tax

Public cloud instances run on top of a Hypervisor layer that steals 10% to 15% of your raw GPU performance, while shared PCIe lanes introduce "noisy neighbor" latency spikes.

ServerMO Bare Metal delivers 0% virtualization loss with 100% physical hardware isolation and Confidential Computing (Intel TDX / AMD SEV-SNP) to keep your enterprise IP cryptographically secured.

4. The B200 Wait-Trap (Blackwell Reality)

NVIDIA's B200 boasts 9,000 TFLOPS of FP4 compute, but waiting for it can stall your business:

• Extreme supply chain queue delays.

• Demands 1,000W power per GPU (15kW+ per rack), making liquid cooling mandatory.

• The H200 plugs directly into existing 700W SXM infrastructure today, delivering up to 1.9x faster inference over the H100 without waiting.

Maximize Your AI Cost-Per-Token Economics

Escape the cloud tax, eradicate thermal throttling, and secure your proprietary algorithms by deploying high-throughput AI infrastructure on bare metal.

Read the complete NVIDIA H100 vs H200 vs B200 AI Bare Metal Guide on ServerMO!

[ij-reportika]

Jensen Huang joins Tsinghua's board. H200 chips approved for China, none delivered. Trump flew to Beijing. China's AI researchers leaving US universities in droves.

The global AI race is being lost not at the chip level but in the boardroom and the classroom.

ij-reportika.com/h200-chips-tsinghua-trump-beijing-global-ai-race

#AIRace #H200Chips #TsinghuaUniversity #JensenHuang #NvidiaChina #TrumpBeijing #ChinaAI #USChinaTechWar

[cloudhostinglab]

NVIDIA H200 Price in India: How Much Does It Cost?

The NVIDIA H200 is one of the most powerful AI GPUs designed for large language models, deep learning, and high-performance computing workloads. In India, its pricing varies significantly depending on whether you choose cloud rental or physical purchase.

Cloud-based access typically costs on an hourly basis, making it more affordable for startups and developers, while purchasing the hardware can cost several lakhs due to import duties, enterprise-grade specifications, and supply constraints.

Because of its 141GB HBM3e memory and extreme bandwidth, the H200 is mainly used for AI training, inference at scale, and data-heavy workloads where performance is critical.

[onlinewspost]

 Nvidia को H200 चिप चीनमा बेच्न स्वीकृति, तर एउटा पनि डेलिभरी भएन.

विश्वकै सबैभन्दा मूल्यवान सेमिकन्डक्टर कम्पनी Nvidia ले चीनमा आफ्नो शक्तिशाली H200 AI चिप बेच्न अमेरिकी सरकारबाट हरियो झन्डा पाएको छ। तर यो ठूलो कूटनीतिक र व्यापारिक अवसर अहिलेसम्म कागजमै सीमित छ एउटा पनि चिप चीनमा पुगेको छैन।

कुन–कुन कम्पनीलाई अनुमति? अमेरिकी वाणिज्य विभागले Alibaba, Tencent, ByteDance र JD.com लगायत करिब १० चिनियाँ प्रविधि कम्पनीहरूलाई H200 चिप खरिदको अनुमति दिएको छ। वितरकको रूपमा Lenovo र Foxconn लाई पनि स्वीकृति दिइएको छ र प्रत्येक अनुमोदित कम्पनीले बढीमा ७५,००० वटा H200 चिप खरिद गर्न पाउने छन्।

Jensen Huang बेइजिङ पुगे ट्रम्पसँगै Nvidia का प्रमुख कार्यकारी जेन्सन हुआङ सुरुमा ट्रम्पको प्रतिनिधिमण्डलमा सूचीकृत थिएनन् तर राष्ट्रपति ट्रम्पले अलास्कामा बाटोमै उनलाई आफ्नो टोलीमा समावेश गरेर बेइजिङ लगे। यस कदमले H200 सम्झौता अन्ततः टुङ्गिने आशा जगाएको छ।

बेइजिङकै अड्चन वास्तविक समस्या भने वाशिङ्टनतर्फबाट होइन बेइजिङतर्फबाट आएको छ। चिनियाँ अधिकारीहरूले आफ्ना कम्पनीहरूलाई विदेशी प्रविधिमा निर्भरता घटाउन भनेपछि खरिदकर्ताहरूले अर्डर अघि बढाउन रोकेका छन्। यसका अतिरिक्त, चिप अमेरिकी भूमि हुँदै पठाउने र अमेरिकाले बिक्रीको २५% राजस्व पाउने व्यवस्थाले चिनियाँ पक्षमा थप शङ्का उत्पन्न गराएको छ।

दाउ कति ठूलो छ? निर्यात नियन्त्रण कडा हुनुअघि Nvidia ले चीनको उन्नत AI चिप बजारको करिब ९५% हिस्सा ओगटेको थियो। चीन एकसमय Nvidia को कुल राजस्वको १३% स्रोत थियो र हुआङले यस वर्षमात्रै चीनको AI बजारको मूल्य ५० अर्ब डलर हुने अनुमान गरेका थिए।

विशेषज्ञहरूको चिन्ता काउन्सिल अन फरेन रिलेसन्सका वरिष्ठ शोधकर्ता क्रिस म्याग्वायरले भने "Nvidia लाई चीनमा थप चिप बेच्न दिँदा अमेरिकी कम्पनीहरूलाई उपलब्ध हुने चिप घट्छ र AI मा चीनमाथि अमेरिकाको अग्रता कमजोर हुन्छ।"

अहिले Nvidia दुई महाशक्तिबीच अलमलिएको छ स्वीकृति पाएर पनि एउटा चिप बेच्न नसक्ने अवस्थामा।

© अनलाइन न्युज पोस्ट . 👍 सेयर गर्नुहोस् ताकि अरू पनि अपडेट रहुन् .

[therealistjuggernaut]

NVIDIA H200 EXPORT DEALS STALL AS U.S.-CHINA AI CHIP STANDOFF DEEPENS

Threat Summary Category: AI Infrastructure Conflict / Semiconductor Export Controls / Strategic Technology RestrictionPrimary Actors: NVIDIA

[techbitgr]

Η Κίνα συντάσσει κανόνες για τον περιορισμό των εξαγορών τσιπ τεχνητής νοημοσύνης Nvidia H200

Η Κίνα συντάσσει κανόνες για τη ρύθμιση των αγορών τσιπ Nvidia H200 AI από τοπικές εταιρείες, επιτρέποντας περιορισμένες πωλήσεις από ξένους κατασκευαστές όπως η Nvidia αντί για πλήρη απαγόρευση, Nikkei Asia ανέφερε στις 15 Ιανουαρίου επικαλούμενη δύο πηγές που γνωρίζουν το θέμα. Η κινεζική κεντρική κυβέρνηση στοχεύει να ελέγξει τον συνολικό όγκο των τσιπ τεχνητής νοημοσύνης αιχμής που μπορούν να…

Η Κίνα συντάσσει κανόνες για τον περιορισμό των εξαγορών τσιπ τεχνητής νοημοσύνης Nvidia H200