- 11 months ago
تدور الحلقة حول قصة صعود شركة انفيديا.. وتربعها على عرش الشركات في العالم...
عن رحلتها من عالم ألعاب الكمبيوتر لعالم الذكاء الاصطناعي..
عن وصولها للقمة في فترة قصيرة نسبيًا ... ونزولها من القمة في فترة اقصر... هل إنفيديا هتقدر تستعيد مكانتها؟ ولا الصين هتخطف منها العرش زي ما عملت مع شركات كتير قبل كده..
عن رحلتها من عالم ألعاب الكمبيوتر لعالم الذكاء الاصطناعي..
عن وصولها للقمة في فترة قصيرة نسبيًا ... ونزولها من القمة في فترة اقصر... هل إنفيديا هتقدر تستعيد مكانتها؟ ولا الصين هتخطف منها العرش زي ما عملت مع شركات كتير قبل كده..
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00:00As we get started, we will be able to get a new video from the podcast podcast.
00:07It may be a podcast podcast, but we will try to get a new video on TV, but we will try to get a new video to the channel.
00:13I personally will be able to get a new video.
00:15Welcome to you.
00:16Welcome to you, Maze.
00:17I'm happy to be with you in the podcast podcast.
00:21I don't know what this is.
00:23Today's video is about the lifestyle.
00:26It's a matter of fact.
00:27I'm ready to be able to get you.
00:29I'm happy to be able to get you.
00:31My opinion is that you can be able to get a new video on TV?
00:36I'm going to ask you if you can make a new video on TV.
00:38But it's actually a nice video.
00:40Will you actually be able to get a new video on TV?
00:43Look at that, I'm just going to be able to get a new video on TV.
00:45If there's something I'm not sure about you,
00:47but we can get a new video on TV and get a new video on TV.
00:51It's a matter of fact.
00:53With a new video on TV, I want to ask you a question.
00:56Can I ask you a question?
01:08Can I ask you a topic?
01:10I'm just going to ask you a question.
01:12Can you train your scientists and learn and understand, and to work and to contribute and to focus on what's best are you to undertake?
01:24But you have to do anything you can write only.
01:30It is...
01:31What's the name of the馬馬?
01:34The name of the馬馬馬马.
01:35The name of the馬馬馬馬马, the word is in love.
01:39ليونة وحساسية وجسم الإنسان الفاني
01:43هي اللي بتفصله عن الزكاية الاصطناعي وطبيعته الجمدة
01:47هي اللي بتخلق خوفك على بقائك
01:49وبتدعم غرستك للبقاء
01:52هي اللي بتولد كل المشاعر الجميلة والغير جميلة
01:56هي اللي بتبدأ وبتنهي علاقات
01:58هي اللي بتجيب ناس للدنيا وتاخدهم
02:01هي اللي بتخلينا في النهاية بشر
02:04تفتكر لو القالة ممرتش بكل الحاجات دي
02:07هل هتقدر تستبدل الإنسان؟
02:10مستحيل طبعاً
02:11مستحيل
02:12بالزبط
02:13موه
02:14اعزائي المشاهدين الصلاة والبركاتة أعلم بكم في حلقة جديدة من برنامج الدحيح
02:27دخل يا عزيزي معايا أنت في نوفمبر سنة 2024
02:30إيه ده يا بوحمد إيه المشاور الصغيرة دي
02:31أنا أول مرة رح مشاور صغير معك كده
02:33يا عزيزي أنا دلوقتي واحدك معايا عشان تلعب المطش النهائي
02:36إحنا في برنامج العبقرة دخلين منافسة ضد جامعة أسيط
02:39وده يا عزيزي دايماً بيبقى أصحب امتحان إعدادية في المحافظات
02:41آخر سؤال في الحلقة واللي بيفسدنا عن الفوز وقهر الشعب الأسيوتي
02:45السؤال يا عزيزي بيجيلك في التكنولوجيا
02:46ما هي أكبر شركة في العالم من حيث القيمة السوقية وقت نشر هذه الحلقة
02:50فأنت يا عزيزي عشان بيذاكر كويس هتجاوب بكل ثقة وتقول قابل يا محمد
02:54هتلاقي يا عزيزي بعدها الجمهور بيسقف وزمالك بيحضنه بعض
02:57والجمهور بيولع من الحباس
02:59إجابة خطئة
03:00هتحول معايا تاني وتقول له سوان يا أستاذ عصاب
03:02مايكروسوفت طب متا
03:03بيترد عليك يا عزيزي ويتقالك إن كل قلته ده غلط
03:06والإجابة الصحيحة هي إنفيديا
03:08الحقيقة يا عزيزي دي إجابة غريبة جداً
03:10إحنا بنتعامل مع قبل بنتعامل مع منتجات متا
03:13بنتعامل مع منتجات أمازون
03:14بنتعامل مع منتجات جوجل
03:16لكن محدش فينا بشكله اليومي
03:18بيتعامل مع منتجات شركة اسمها إنفيديا
03:21إلا لو جيمر بيجمع هارد عشان يلعب
03:23أو حد شغال في البتكوين
03:24ما بيجيش سيرة إنفيديا غير في كروت الشاشة
03:27فإزاي شركة زي دي بتعمل هذا المنتج
03:30اللي مش كلنا بنستخدمه
03:31قرف تبقى التوب وفوق توليل جداً
03:34قابل يا عزيزي بجبروتها ده
03:35احتاجت قرب الخمس سنين
03:37عشان تنتقل من شركة قيمتها تريليون دولار
03:39لشركة قيمتها 3 تريليون دولار
03:41الفيديا يا عزيزي عملتها في قد إيه
03:43في 353 يوم بس
03:45أقل من وان يير
03:46يا سلام يا باحمد
03:47معقولة بيعملوا كل الفلوس دي
03:49من كروت الشحن
03:49سوف أفكر أفتح مشروع
03:51كروت شحن إيه
03:51كروت شاشة
03:52كروت شاشة
03:53الحسب يا عزيزي كلام البروفيسور
03:55أسواد دامدورن
03:56بروفيسور الفينانس وأستاذي
03:58المفضل من جامعة إني واي يو
04:00فال3 تريليون هم إنجاز جبار
04:02مبتوصلوش إلا البروفيكت مومنتم كامبني
04:05يعني شركة قادرة بمنتجاتها
04:06واستراتيجيتها
04:07إنها هتنوي بشكل أكبر وأسرع
04:09بمرور الوقت
04:10خالي أقول لك يا عزيزي
04:11إن استراتيجية ومنتجات إنفيديا
04:13هتتحرك لحتة أبعد من كده بكتير
04:15أبعد من كروت الشاشة
04:16ومش بس هتخليها الأغنى في العالم
04:18لا دي هتغير شكل العالم
04:19خلت الهوك يا عزيزي
04:20يلا بينا نرجع سجين
04:21بتبدأ يا عزيزي
04:23قصتنا على عكس قصص النجاح الثانية
04:26بتلت مهندسين شطرين
04:27اتخرجوا من جامعات مرموقة
04:28وشغالين شغلات كويسة زي الفل
04:30هي بوحمود القصة دي
04:31دي متعملش أي حاجة مع مور الشازل
04:32هتطلع فصل ممتسمة
04:33كده تقلب إسعاد
04:34ده يجيب الفقر في الفورمات
04:35تلت مهندسين لا بيعانوا
04:37وشغالين زي الفل
04:37ومش قاعدين في جراج بيتهم بيخترعوا
04:39لو لان يا عزيزي
04:40هو الراجل المشهور فيهم
04:41يانسين نوانغ
04:42خارج هندسة قسم الكهرباء
04:43ومعاه ماجيشتير من جامعة ستانفورد
04:45راجل ده عزيزي شغال في شركة اسمها
04:46LSI Logic
04:47واحدة من أكبر الشركات
04:49وقتها في صناعة الرقائق
04:50التاني هو يا عزيزي
04:51كريس مالاتشوسكي
04:52برضو يا عزيزي مهندس كهرباء
04:54وشغال في شركة
04:55Sun Microsystems
04:56دي يا عزيزي
04:56اللي عملت لغة البرمجة المشهورة
04:58جافا
04:58وأخيرا
04:59فرتس بريم
05:00وده برضو
05:00كان شغال في Sun Microsystems
05:02وهو يا عزيزي
05:03اللي صمت أول Graphic Processor
05:04لما كان شغال في IBM
05:06طلب ثلاثة يا عزيزي
05:07هيتقابله من خلال
05:08ديال بيحصل
05:09بين الشركتين
05:10شركة Sun Microsystems
05:11وشركة LSI
05:12التلاثة هيدربوا صحوبية مع بعض
05:14وهينزلوا يا عزيزي
05:15يروحوزوا على القهوة
05:16وزي أي ثلاثة على القهوة
05:17هيفكروا ويفتحوا مشروع
05:18على القهوة يا عزيزي
05:19هيكتشف كوانغ
05:20إن كريس وكوتس
05:21سابوا شغلوه
05:22وقرروا إن هم يفتحوا مشروع
05:23فيسألهم يقول لهم
05:24إيه المشروع ده
05:25هقولوا إحنا مش عارفين بصراحة المشروع
05:27بس إحنا عايزينك معنا
05:28هو أنجا هيرفض في البداية
05:29لأنه عنده شغل سابت
05:30شغال كويس
05:31وعنده حيلة بيجري عليها
05:32وبيجي بأكل عيشه
05:33ولكنه يا عزيزي
05:34بعد شوية من نكش
05:35هياخده الحماس
05:36ويوافق
05:36ويفضل يا عزيزي
05:37التلاتة كل يوم
05:38يتقبلوا في قهوة دينس
05:39نستنين الفكرة
05:40لحد ما يلاقوها
05:41إحنا هنفتح سايبر
05:41بس من البيت
05:42خذ بالك يا عزيزي
05:43إحنا في التسعينات
05:43فدي كانت فكرة جديدة وقتها
05:45كانت الفكرة
05:45ليه ممكن تنزل
05:47تلعب أركيد
05:48بدل ما أنت ممكن تلعب
05:50في بيتك على كمبيوترك العادي
05:51خذلك يا عزيزي
05:52إحنا هنا بنتكلم على
05:53أول التسعينات
05:54فدي كانت فكرة ثورية وقتها
05:55الكمبيوتر وقتها يا عزيزي
05:56كان مخصص للشغل بس
05:58مش للفن واللعب
05:59ما فيهوش أي وسائل طرفيهية
06:00لا في مايك
06:01ولا سماعات ولا فيديو
06:03ما كانش حتى عليه بيضة سوليتير
06:04فهنا يا عزيزي
06:05هيقرر التلاتة
06:06إن موضوع علعب الكمبيوتر ده
06:07يبقى مدخلهم
06:08لعالم البيزنس
06:09وبن هنا يا عزيزي
06:10جات فكرة كارت الشاشة
06:11وبن هنا برضو
06:12جات فكرة إنفيديا
06:14كلمة يا عزيزي إنفيديا
06:15جاية من كلمتين
06:16إنفيديا
06:16ودي معناها الحسد
06:17هي زي إنفيديا بالزبط
06:18بس
06:19الاي قبل الان
06:20وكلمة فيديو
06:21عشان شركتهم
06:22بتعمل جرافيكس وكده
06:23وعشان يا عزيزي
06:23كانوا مقتنعين بنجاحهم
06:25هيختاروا العين كشعار ليهم
06:27أهم منها تمنع الحسد
06:28ومنها تقول للناس
06:29إن دي شركة فيجوالز
06:30هدفها تقدم تجربة بصرية حلوة
06:32وتمشي برضو إنهم فيجيناري
06:33يعني وعندهم رؤية وكده
06:34كده يا عزيزي
06:35إحنا معنا القسم والرؤية
06:36ناقص بس شرط بسيط قوي
06:37بيتوقف عليه أي مشروع
06:38وهو الفلوس
06:39هنا يا عزيزي
06:40كل واحد هيحط تحويشة عمره
06:42ويجمعه سوا في 40 ألف دولار
06:44وهيختاروا مع بعض المقر
06:45خرموا توضع A
06:46بس مميز
06:47مخارن يا عزيزي
06:48هيبقى أفسانه Z
06:49وده يا عزيزي مكان قريب من سيليكون فالي
06:51في كاليفورنيا
06:52حيث هو يا عزيزي
06:53شركات السيمي كوندكتورز الكبيرة
06:54وكبار المستثمرين والشاركس
06:56ده يا عزيزي بالزبط اللي عملوه
06:58بدأوا يدوره على مستثمرين
06:59يستثمروا معاهم في إنفيديا
07:01هوان راح لرئيسه القديم
07:02في شركة LSI
07:03ويلفريد كوريجان
07:04الراجل بس عن مشروع
07:05وهل دي فكرة صريفة جدا
07:06وانتو شباب جميل جدا
07:07وده مشروع مهم حقيقي
07:09هيغير شكل العالم
07:10بس أنا آت
07:10ايه ده لوحدة سويدي من حواجبه؟
07:12بس يا عزيزي الراجل رشح لهم
07:14ان هم يشوفوا واحد اسمه
07:15دون فالنتاين
07:16الراجل ده يا عزيزي في سيكويا كابيتل
07:18ده واحدة من أشهر الفي سيز في العالم
07:20ده يا عزيزي الشركات اللي بستثمر في الستارتابس
07:22دي سموها بتامستثمارات جريئة
07:24الراجل ده يا عزيزي عامل زي دون كورليوني بتاع جات فاذر كده
07:26ومدير هوانج قال له
07:28أنا هوصي عليكم ما تقلوش
07:29الراجل يا عزيزي مش بس هوص عليهم بكلام حلو
07:31ده قال له أنا هبعط لك ناس بسخ فيهم جدا
07:33جيف ذي ماني
07:34والفعل يا عزيزي فالنتاين بيديهم 20 مليون دولار
07:38بس هيقول لهم جملة واحدة كانت كافية تشيل البتسمات من على عوششهم
07:41فلوس ماي ماني اي ويلتي ليون
07:43هل قد ما تقدروا ما تتقلوش
07:44كده يا عزيزي أصبح معاهم الفلوس والمكان والفكرة
07:47الفضل يا عزيزي أهم حاجة
07:48ما إحنا شركة كمبيوتر فترة إحنا محتاجين إيه؟
07:50إحنا محتاجين كمبيوتر
07:51وهم بفعل يا عزيزي كانوا وقفين على كمبيوتر
07:53هيروح الثلاثة يشتري كمبيوتر
07:55جيتوي 2000
07:55واللي كان من أحسن الأجهزة وقتها
07:57صدموا يا عزيزي الجهاز ده عشان يكتبوا الأكواد
07:59ويصمموا الدواير
08:00ويقربوا النازج الأولية بتاعتهم
08:02وبكده يا عزيزي اكتملت وصفة النجاح
08:04وفي يوم يا عزيزي 5 إبريل سنة 1993
08:07بتنطلق رسميا يا عزيزي شركة إنفيديا
08:10وفي لوفامبر سنة 1995
08:11بتنسل إنفيديا بأول منتج لها
08:13الـ NV1
08:14نظرياً يا عزيز ده كان منتج ممتاز
08:16فيه جرافيكس 2D و 3D
08:17عايز صوت خد
08:18عايز فيديو خد
08:19وكمان فيه مدخل الدراعات
08:21واو
08:22مدهش جينسون هوانج وأصدقائه
08:24بكد جربه زوجي واستمتع بكثير من الأعب
08:26خاصة أنه تمتع بمدخل الزراعات
08:28غير يا عزيزي إن الجهاز ده
08:30ممكن يتحط فيه جهاز سيجا الجديد
08:31اللي هينزل السوق
08:32تحس يا عزيزي إن كل عوامل متيسرة
08:34لنجاح هذا المنتج
08:35بس لأسف يا عزيزي زي ما أنت عارف
08:37بيحصل العكس
08:37و NV1 بتفشل فشل زريع
08:39والفشل ده تحديداً بييجي بسبب
08:41مميزتها
08:42إيه السبب؟
08:43هارجع وأقول لك
08:45NV1 يا عزيزي كانت حلوة جداً لدرجة الوحاشة
08:48بتعمل جرافيكس 3D معقدة بتقنية البيزير كيرز
08:51عرف يا عزيزي أنت الخطوط المنحانية دي
08:52اللي بتحركها بخطوط مستقيمة ونقط حواليها
08:54الشركات تانية يا عزيزي
08:55كان بتعمل الجرافيكس بخطوط مستقيمة ومضلعات عادية
08:58Polygons
08:59طيب وكده أبي أحمد مميزين
09:00والتميز بيجيب نجاح
09:02لسف يا عزيزي ليس كل متميز ناجح
09:03وكل ناجح متميز
09:05استعان لنا
09:05خلني يقولك إن الشركات اللي زي مايكروسوف
09:07حبت الخطوط المستقيمة أكتر
09:09ومطورين الألعاب بدأوا يعملوا ألعاب متوافقة أكتر
09:12مع جرافيكس المضلعات
09:13وليس الكرفات
09:14فده يا عزيزي خلى الناس اللي بيستخدم الـ NV1
09:16عشان تشغل الألعاب بتاعتها
09:18بتعاني من أداء بطيء وسيء
09:20فوق كل ده
09:20NV1 كانت غالية جداً بالمقارنة بمنفسينها في السوق
09:23فللأسف النتيجة كانت محبطة
09:25ومحدش اشتراها
09:26الفيديا بعتت لشركة دايمند
09:27اللي بتقوم بدور الموزة المعتمد بتاعها
09:29250 ألف منتج عشان توزعهم وتبيعهم
09:32رجي يا عزيزي
09:33الفيديا كان منهم 249 ألف منتج
09:36ما تبعش يا عزيزي غير ألف منتج
09:38غريباً قريب التلاتة كانوا بيشتروا بجاملة
09:40زي كتاب الناشئين في حفل التوقيع
09:41على فكرة
09:42أول طبع لسه خلصنا بارح
09:43أنا بيست سيلر في بيتنا
09:44وجهاز سيجا يا عزيزي
09:45اللي كانوا مرهنين عليه
09:46لما نزل
09:47ما نجحش
09:48الشركة يا عزيزي كان على وشك الإفلاس
09:49ينهاري شفوضة محمد
09:50وبعدين
09:51والله يا عزيزي اللي حصل
09:52بنقوله في الأحياء الشعبية
09:53دعوة أم
09:54واضح يا عزيزي أن يالدي كانت أمهاتها سلكة
09:56ودعو لهم في سعة عصاري
09:57لأنقذهم يا عزيزي
09:58وللمفارقة
09:59إن سيجا قررت إنها تفسخ التعاقد معهم
10:02ومعنى يا عزيزي إن حصل هذا الفسخ
10:04إذن سيجا مضطرة تدفع شرط جزائي
10:06مش أنت عايزة تفسخ العقد من طرفك
10:08يبقى تفعيلي يلا في خمسة مليون دولار
10:10ده يا عزيزي كان السبب الأول
10:12السبب الثاني هو إن الجاد فاذر
10:13ميستر فالنتاين
10:14اللي قال لهم
10:15لو خسرت فلوسي هقتلكم
10:16خلاف وعدوا معاهم يا عزيزي
10:17مقتلهمش يعني
10:18الحمد لله أبو حمد
10:19وهم يا عزيزي التلاتة نجو
10:21واسيرفايفد من هذه الأزمة
10:22طبعا نعمل إيه في الخطوة الجاية
10:23كيفية فشل بقى
10:24إن فيديا هتكامسل شغلها على إن في تو
10:26الإصدار الجديد اللي كانوا مخططين له
10:28وتبدأ على نظافة من أول وجديد
10:30بس بتظهر يا عزيزي مشكلة
10:31الوقت بيبدأ يعدي
10:32والفلوس بتبدأ تخلص
10:33فضل فلوس يا دو بتعدي شهر واحد
10:35وهنا يا عزيزي الشركة هتحول الضغط لحافظ
10:37هتحط شعار الموظفين
10:39We are only 30 days away
10:41from going out of business
10:43هنقدمنا 30 يوم
10:44عشان نفلس
10:45موظفين إن فيديا عزيزي
10:46كانوا ولدي الشركة بجد
10:47اشتغلوا جامد جدا
10:48لحد ما هيطلعوا المنتج
10:49اللي هينقذ إن فيديا من إفلاس
10:51عزيزي المشاهد
10:51أرحب معايا بالريفا 128
10:54ليه بوحمدنا نخص سنة ولا ثلاثة
10:55الريفا 128 هي منتج إن فيديا الجديد
10:58ده اللي حل كل مشاكل الـ NV1
11:00شاف السوق عايز إيه
11:01وعمل من غير أي تعايد
11:02السوق بيشتغل بجرافيكس مضلعة
11:04يلا بيه نواي نط
11:05عايز حاجة أرخص أوكي
11:06اديه التجاري منه
11:07شلي يا ابني الحاجات اللي تدعم الصوت دي
11:09وحاجات سيجا كمان
11:10خلهولي للجرافيكس بس
11:11حلو كده نبيع نعجب
11:13وفي الوقت يا عزيزي
11:13الـ NV1 باعت ألف منتج
11:16في سنتين
11:17من قد إيه
11:17من 250 ألف
11:18فالريفا 128
11:20باع في مليون
11:21في 24 أور بس
11:22تفوق على كل منافسينه في السوق
11:24وبقى يا عزيزي
11:25يستخدم في أجهزة
11:26الجيتوي والكمباك والدل
11:28إن فيديا دقت لأول مرة
11:29طعم النجاح
11:30وهتقرر إنها تكمل
11:31وإنت عارف يا عزيزي
11:32طعم النجاح حلم
11:33إن فيديا عزيزي
11:34انطلقت وقررت ما تريعش
11:36عشان نشوف إن فيديا
11:37سنة 1999
11:38وهي بتنزل جي فورس 256
11:40ده يا عزيزي هيكون
11:41جيمة شينجر
11:42هيغير اللعبة تماماً
11:43هيكون أول جي بيو في التاريخ
11:45الجي بيو باختصار
11:46هو الجرافيك بروسيسنج يونت
11:48جهاز بيعمل عملات حسابية كتير
11:50ومعقدة جداً
11:51عشان يطلع لك في الآخر
11:52الجرافيكس على الشاشة
11:53عمالاتي عزيزي بيعملها
11:54بالتوازي
11:55وخد لك من كل اللي بالتوازي
11:56عشان دي مهمة
11:56عارف يا عزيزي لما تروع
11:57تشتري لابتوب
11:58وتلاقي ما يكتوب عليه
11:59الكور إي سيفن وارتي اكس
12:00لقد تلافه خمسين
12:01اخوة الارتي اكس ده عزيزي
12:02الجي بيو
12:03الكور إي سيفن ده
12:04هو السي بيو
12:05السي بيو عبارة عن
12:06سنترل
12:07الروسيسنج يونت
12:08الفارق بين جي بيو والسي بيو
12:10الجي بيو بيعمل عملياته بالتوازي
12:12السي بيو بيعمل عملياته أسرع
12:15بس بالتوالي
12:16التوالي والتوازي
12:17هو ده عزيزي اللي بيفرق بين إنفيديا وإنتيل
12:19خل معايا عزيزي سفينة محملة
12:21and the situation in the same time.
12:24This is GPU.
12:25CPU is also a little, but it's a new device.
12:30This is a little, too.
12:31It's a little, I think.
12:32Another thing is to come back to the idea.
12:34GPU is going to create a lot of things in the same time.
12:36But it's not a little bit.
12:37CPU is going to create a lot of things,
12:39but it's a little bit higher.
12:40It's also a new device.
12:41It's also a new device.
12:42It's possible to get access to anything else.
12:44It's not just a thing.
12:45In comparison, GPU is the same thing.
12:46It's the only thing to do.
12:47CPU is the same thing.
12:49It's the same thing.
12:51from the past, and so on.
12:53Of course, the best performance performance is good for them when they work with the two of them.
12:56Invidia, it decided that it was supposed to be in GPU.
12:58The GPU, and the person who used it a lot.
13:00And this is why, on the contrary, it was a good decision to take it to Nvidia.
13:05With that, it didn't have a decision to take it back from this point.
13:08And this decision to take Nvidia in the first place.
13:11Invidia, the GPU and Intel, the CPU.
13:16In 2021, it decided to take Microsoft to use GPU
13:20the best of Nvidia in the future, the Xbox.
13:22The Xbox is a good thing and Nvidia takes a lot of money to take a million dollars to this share.
13:28Nvidia has been tested for it very much in the future.
13:31And it's more and more and more.
13:32And in 2020, it started to take advantage of it.
13:34In 2020, it started to take advantage of it.
13:36For example, Xlona and 3DFX.
13:38In 2003, it started MediaCube in the future of 70 million dollars.
13:41And in 2006, it started Hypergraphics.
13:43And 2007, it started Portal Clear.
13:44And it started to be a good person and a good person with it.
13:47And the video, it started to take advantage of it.
13:48to the extent that it took the year from the world
13:50from the world from 2007.
13:52I'm not sure I saw it in front of my eyes.
13:53I saw it in front of my eyes.
13:54In 2008, Nvidia is a good person to take advantage of it.
13:57The people who have discovered the issue of Nvidia in the future
14:00in the future of Nvidia, the Dell, HP, Apple, and Dell.
14:03It started to take advantage of Nvidia
14:05which decided to take advantage of Nvidia
14:07and took advantage of the two million dollars.
14:10You can see it in the middle of the world,
14:11it's not too much in the middle of the world.
14:13Intel.
14:13The Intel.
14:15Intel is going to take advantage of Nvidia in the year.
14:17and says that it's not enough to take advantage of the law
14:19to be able to take advantage of the system
14:20to work with the process of the system.
14:22Nvidia is not having the system.
14:23No, it's not.
14:24It's also going to be able to do it on Intel.
14:26It's going to be able to lose the three years
14:27and take advantage of it on Intel,
14:28or to make it to the system of Nvidia's hands.
14:29Until they are able to pay attention to the end of the year.
14:32They decided that they build a number of rules
14:34during the year of 2021.
14:35It's a number of rules that they put access to every year.
14:37It's a number of rules that it's been to access to all the new people's hands.
14:39And as well, Intel will pay attention to Nvidia
14:41a million and a half million dollars.
14:42Oh my god, we're already in the first video
14:44and we're already in 40,000 dollars.
14:47We're going to get to it when?
14:48Oh my god, oh my god, oh my god.
14:50We're already in the first video.
14:53The video, my dear friend, is that Intel,
14:55it's not a channel of Intel and Intel.
14:58The channel of Intel and Nvidia is actually not between Intel and Nvidia.
15:00The channel of Intel and Nvidia is actually between GPU and CPU.
15:03And on who is going to be?
15:05And I'm coming back to you, my dear friend, and I'm going to tell you
15:06GPU is the one who's going to make a video about Nvidia.
15:12In the year 2006, Nvidia was in the game of Nvidia in the game.
15:16And in the video games, in the game, there was a video game.
15:18But in the environment, there was a lot of experience
15:21working on the researches of the researches of the Stanford
15:24researches of the researches of the medical imaging.
15:27This is the exception of the objective of the medical imaging program.
15:30For this, the contribution of the CPU and the CPU
15:32and the CPU, the MRI, and the RANAMMAL-MGNATISI, the MRI,
15:34were used to require a lot of work to get out of the way
15:36to get to speed up and get to speed up.
15:38In this case, they were used to put CPU to get to this operation
15:41and the end of this, it was used to be used to be done.
15:42And that's why it's been making a lot of fun and a lot of fun.
15:45And here I think that's why I'm thinking about the Sanford and M.I.T.
15:49That's why it's in the last picture.
15:51And graphics.
15:52Graphics is a lot of fun.
15:55So who can do this thing?
15:57It's the G.P.U.
16:00And here I think that's why it's in Nvidia.
16:03When Nvidia had a lot of fun in Nvidia.
16:06I found a lot of fun in the G.P.U.
16:17This video is going to take a look at the B.P.U.
16:19This video is going to take a look at the B.P.U.
16:21and then you want to take a look at the feature in the company.
16:24And they can make a link to the G.P.U.
16:27to use the GPUs in the world which they love.
16:30That's why I'm going to use the G.P.U.
16:31which you want to have a real good job.
16:34That's why I have a good job.
16:35And in fact, in 2006, the first place in the world is the first place in the world.
16:41In the first place, the first place in the world is the first place. What is it? What is it? What is it?
16:43Until it comes to the year 2012, the name Alex Kerejivski is Alex Kerejivski,
16:48he is working in the future.
16:49The goal is to improve the AI in the future.
16:53What is it to give to the computer a signal?
16:54What is it? It's a signal.
16:56In the first place, the people who are using the CPU to use the program to use them.
16:59And the topic is going to take from them a few hours and a few hours.
17:02He comes to Alex Kerejivski's
17:20on all the numbers that are available in the past,
17:23in a row,
17:24in a row of thousands of dollars,
17:25and look at how many people are going to do it.
17:27And with that, Alex's using GPU
17:29on the numbers of CPU,
17:30you can see a lot of people in this CPU.
17:32And from this point,
17:34people who are interested in the number of people in the world,
17:36the people who are interested in the number of people in the world.
17:38And with that,
17:39the people who are interested in the Bitcoin in 2013
17:41started using GPU
17:43and CPU
17:44in the process of using GPUs.
17:46What do you think about crypto currency?
17:48Crypto!
17:49It's a gift!
17:49It needs to be used to be able to fix the problem
17:53so that you can fix the problem
17:54so the GPU can prove that it's a good thing
17:56It's a good thing to do
17:58and it's a good thing to do with the CPU
18:00against the CPU
18:01GPU, Azize, is a good thing
18:03because it happened a big problem
18:05because of the people who were able to get rid of it
18:07Johnson, Azize, was the first thing that happened
18:09that people would use the GPU
18:11and the other things that were different from gaming
18:13were among them in the game
18:14and among them in the game
18:15We're working here in the game
18:17and we're working here in AI
18:18and I came to you, Azize, from the end of the game
18:19to tell you that it's a good thing to do
18:21and work on the AI
18:22You can do it every time with me like this
18:24Johnson, Wang, was able to do all the invidia
18:27in order to create a specialization of the GPU
18:30and this is a good thing to do
18:32and you, Azize, did you make a change
18:34to make a change in the future of the graphics
18:36and to make a change in the future of the graphics
18:37and not one knows anything else
18:39but this happened
18:40and the invidia started to make a new approach
18:42to the AI
18:44Invidia, in 2015,
18:45the series of M4 and the Tesla M40
18:48this, Azize, was the first processor to make an invidia
18:50to make an invidia
18:51to make an AI
18:52and at the end of the game
18:52that people like Google and Microsoft
18:54began to use it in the future of the AI
18:56but it was also not enough to be able to use it
18:57in the future of the deep learning
18:58in the future of the deep learning
19:00and it was about to make an invidia
19:02and the invidia
19:03and the invidia
19:03will be able to make an invidia
19:04to make an invidia
19:04to make an invidia
19:05to make an invidia
19:06and the developers
19:07they will use it in the future of the AI
19:09and it will be better
19:09in this case, invidia
19:10can be able to make an invidia
19:12a hardware
19:13and a hardware
19:13and software
19:14and you can make it
19:15what do you do?
19:15and it will be able to make an invidia
19:16and to make an invidia
19:18a DGX
19:19It's the first system that is special for AI
19:22My dear friend, who is it?
19:24What is it?
19:24He is!
19:25I'm sorry, my dear friend.
19:26The subject is like the Bukhari.
19:28The Bukhari.
19:28The Bukhari.
19:30Nvidia and GPUs.
19:32They are the main source for AI.
19:36In 2016, it's been called OpenAI.
19:40It means that it's a good idea.
19:43It's a good idea.
19:44It's a good idea.
19:45It's just a good idea.
19:47It's about what is technology, right?
19:49I won't send anything towar until.
19:50I'm not sure what I tell you.
19:50At the same time, it's a good idea.
19:51In this case, people will follow me.
19:53Use the same thing about this system.
19:54It's a good idea.
19:56Like the curl of the buchery, you can immediately learn.
19:58You can imagine if you're a teenager and you're a young girl.
20:00Who learned how to describe how to make up the language.
20:01And the kemahs are a lot?
20:03And someone will describe you.
20:04They are about to tell you that this is a clear answer.
20:05And it's a good idea.
20:07The cleft way you can understand it.
20:09It's a good idea.
20:10The computer will be there for 100 000, 000, and 100 000, Maine.
20:14And the paraíso.
20:15and he can take all the data that he knows how to take it.
20:17He begins to try to understand each other and learn from each other.
20:20And every place where he has a bigger place,
20:22everything becomes bigger.
20:22Here he comes to the door Nvidia.
20:24In this case, the AI needs a lot of processes.
20:28Processors can be able to make a trillion dollars of the software
20:31with a lot of resources.
20:32Who is it?
20:33Who has these devices?
20:34Nvidia!
20:35OpenAI, you know, it will all be connected to Nvidia.
20:39When it comes to a mobile device, it will be connected to Nvidia.
20:41And when it comes to a mobile device, I tell you that openAI
20:43it will be one of the biggest companies in the world.
20:48With the power of the power of the power of the power of the power,
20:49it must be used to be a power of the GPU.
20:51We are able to get the power of the GPU,
20:53and we will get the A100.
20:54It was the one that was the main advantage of the AI at the moment.
20:57And this was the one that was the openAI
20:58for the 3.5 generation of SHOTGPT.
21:01SHOTGPT, yeah, 3.5 generation of 3 generation,
21:03it will get 30 November 2022 and will get the power of the world.
21:06The people who have all gone to it all,
21:07it will not be like a single generation of SHOTGPT.
21:09Now, the people who have gone to it all,
21:10it will not be Nvidia.
21:11In the last year, Nvidia will be able to get the H100,
21:14and this is the one that has openAI in SHOTGPT4.
21:17God bless it and will be able to share it with them.
21:18And it will be a little bit left.
21:19It will get more, yeah, Azizy!
21:20The openAI and the openAI,
21:21and the media, and the media's power of the technology.
21:22And with them, it will be more Nvidia.
21:24You can say that these companies can be used to be a better Nvidia,
21:26because Nvidia is the only way that Nvidia is going to be used to be used.
21:28Nvidia, Azizy, is the only way that it will be used to be used to be made through the 3rd pieces of the power of the power of the power of the power of the power of the power of the power of the power of the power of the power that is new.
21:32gaming
21:33and gaming
21:34and the social media
21:35this is the 3rd of the social media
21:37and the other ones
21:38and everyone is talking about them
21:39this is not a business
21:41this is a business that is a business
21:43and this is a business that will allow the business
21:44which has worked with 1000 dollars
21:45in the year of 1993
21:46to reach out to October 2024
21:48to approximately
21:49the highest quality of the market in the history of it
21:51and the highest quality of the market in the world
21:543.579 trillion dollars
21:58do you know the million dollars?
21:581000 billion
21:59and the million dollars 1000 million
22:01hit hit hit hit hit hit hit hit hit hit
22:02I told you to take a look at the maximum of the price of the world
22:03which is not it is the 7-9
22:04that was not it is the 7 million dollars
22:05the most likely it is the 7-9 million dollar
22:07which is the 79 million dollar
22:09This is the coin of the media
22:10Nvidia is the largest in the world
22:12the most one has been in it
22:13after the actual scale of the asset
22:14was 600 million dollar
22:16the most one has been increased by the market
22:18by the 200-20 million dollar
22:20the number of the year that we are according to you is a house
22:21you can reserve you and I can reserve you
22:23and I can not live by the asset
22:23and you will be a cash flow
22:24and if we are now
22:24if we are not invested at theurqam
22:25then let us tell you
22:26That's why the United States is 3.3 million dollar.
22:31That's why the United States is the biggest asset to the United States.
22:37That's why the Nvidia has done it all.
22:40And that's why it's like this.
22:42Why is there a lot more than that?
22:44Because if it's like this one, I can do this video.
22:47You can do it.
22:50And when you get it, you can do it.
22:51You can find it a lot.
22:53But it's only a lot.
22:54It's only a lot.
22:56It's only a lot.
22:58Even if it's a company, it's only a lot.
23:00This is Nvidia.
23:01It's only a lot.
23:02In some cases, Nvidia has been able to get 85% from the market.
23:06That's why the market is not able to see it.
23:09Nvidia has been able to get it.
23:11For example, Microsoft, when you want to go to Amazon, Meta, Tesla, or Google,
23:17all the people who want to go to the AI and the database,
23:19they have been able to go to Nvidia, which is the best company in the world,
23:22because they are the best company in the world.
23:24Hey, Nvidia, Nvidia, makes it hard work, but it makes software available.
23:28Software, can be able to work with everything.
23:30So, if you want to get AI to be able to use Nvidia, it is like Cuda and Ultra RT.
23:34With that, you can't do it with this issue,
23:36it gives it a really good value of the early year.
23:39It gives it to be a lot of time to get out on the list.
23:40So you have a lot of money, and a lot of money, and a lot of money with more companies, and a lot of money, and a lot of money.
23:46And one thing that you have to do is to make a decision.
23:48If you saw you, you know, Chip Wars, and Taiwan, you can also see that Nvidia doesn't know about it.
23:54The TSMC is the one that is to make it.
23:57You can only have a lot of money, but sometimes you have to make a decision.
24:01I'll tell you, you know, in some cases, that you can make a decision in the decision.
24:04For example, the US government sees that Nvidia doesn't even know what it can to do with it.
24:10So it can be used to enable these new features that are in the same way
24:14For example, the GPUs are not available for the GPUs in the same way
24:17Even the GPUs are available for the GPUs in the same way
24:20They can use their own support
24:22All these are made to make Nvidia a simple way
24:24This is because of the result
24:26Because if you buy it for the GPUs in the same way
24:28I was in the first and the last one was in the same way
24:30And if it was also in the same way
24:32Because there is also a lot of people in the same way
24:34That's why they are not able to make it a little bit
24:36For example, the GPUs are trying to make it a little bit
24:38And I'll tell you that Nvidia will be one of the reasons why it's one of the reasons why it's one of the biggest problems in the world's history of the world's history.
24:47Nvidia, your name is the one of the 1st, 600 billion dollars.
24:53It's the biggest problem for the company in the 1st, in the 1st, in the 1st, in the 1st.
24:57If you ask your name, your name is the first thing that you can do in your mind when you say it's the only thing that you can do with a single price.
25:05This is the one that happened.
25:06But you can say that it's even more than the 1st, in the 1st, in the 1st, in the 1st, in the 1st, in the 1st, in the 1st, in the 1st.
25:15So we can't get rid of them.
25:16And I'll tell you the 2nd, and I'll tell you about the 1st, in the 1st, in the 1st, in the 1st.
25:18So they'll be able to get rid of them.
25:19They'll be able to get rid of them from the 1st, in the 1st.
25:21Like the H800 and the A800.
25:23They're not quite good at making them a little bit, but not to give them a little bit.
25:27Nvidia is the first one.
25:29The important thing is, you know, a lot of people who are really excited about these days is the 1st.
25:33And he says to change the world and deliver the power of the world.
25:36Before having an invidia company, he will use 1000 from the H800.
25:41He will make a processor.
25:42He will make a processor.
25:45And he will make a processor with a processor.
25:49And he will also make a processor with a processor.
25:52And he will make a processor with 5 million dollars.
25:55And this is what this world has to do.
25:58We will see you in 2023, in the year 2023,
26:00The show of DeepSeek's company.
26:02If you want a small company,
26:03you try to check the details of the app.
26:05But what happened,
26:06in January 2025,
26:07was not small on the top.
26:08The company realized that
26:09when you announced that
26:10it was a very strong company,
26:11and it was very strong,
26:12and it wasn't just an eye-opening.
26:13It wasn't just an eye-opening.
26:15No, it's also a need for any eye-opening
26:16to do the equipment and put it on.
26:18And so,
26:19despite the ability to use this model,
26:20this model at the end of the processors,
26:22it was to provide a good point
26:25if it didn't have the best
26:26for the American equipment,
26:28and it was a less rare,
26:29and it was a little more,
26:29It will be a little bit more than 10% of them.
26:31But what about them?
26:32What about them?
26:32Application?
26:33It's a good thing.
26:34I'll find them like what they buy in the world.
26:35I'll see them in the literature and I'll see them in the literature.
26:37I'll see them in the literature.
26:38I'm sure this is not going to be able to do it for me.
26:41You know, the application is a good thing.
26:44You can use it, use it, use it, and use it.
26:46And if you don't understand, there's a lot of people who use it and use it.
26:50One of the things that you can use DeepSeek is that it's open source.
26:53It's a good thing.
26:54So that's it, you know, that anyone can see the things that you can use.
26:57And that's it, you know, on behalf of the resources,
26:59the reason why you can make DeepSeek is that the
27:22and the best way to achieve it,
27:24which I'll tell you,
27:25is to be capable of the best way to achieve it on earth.
27:27It's not that Deep Seek R1
27:29is a key to the extent of the people who are open source.
27:32It's open source,
27:33and it's about to begin to think about the future.
27:35We don't need to take a step back to the AI,
27:37and take a step back to the AI,
27:38and be able to do it as you want.
27:39It's not that he is talking about a lot of AI.
27:42There's something, like that,
27:43the chatbot arena is being given by it
27:45to an AI,
27:46and it's not that you can speak about it.
27:48You can give a person like you,
27:49who is talking about AI,
27:50AI, he doesn't know, he doesn't know, he doesn't know. He doesn't know what he says about the
27:52cloud, or the lima, or the group, or the chat GPT, or deep seek.
27:56After that, he's finished, he's got a good idea.
27:58Something, you know, blind date show, but in the AI.
28:01This is the second one, deep seek R1, and it's another one.
28:02Deep seek R1, which is the only one, deep seek R1, which is the O1, and O3 mini, from open AI,
28:07which is the private sector.
28:08And on the Gemini, the 2.0, from Google.
28:11This is open AI, and Google.
28:12It's talking about a company that has a million dollars.
28:15That's how many millions of dollars have been to earn more than a million dollars,
28:18to make them earn the money from the stock market.
28:19And then they say,
28:21Zipseek carbons.
28:22They're going to give Zipseek.
28:23Give them the cost of Zipseek.
28:24And they're going to lose their financial customers.
28:27They're financing the AI.
28:28I have to put all this money in the bank account.
28:30They're going to need to charge their inflation for 50% or by 80%
28:32I'm going to give Zipseek to Aby Hohmann.
28:33This is what I'm going to do with Zipseek.
28:36What can we do with Zipseek R1?
28:40This is the market price.
28:42I think this is an investment money.
28:44And of course the bigger price went to Nvidia lithium.
28:47The new company, trading procession,
28:47who bought the processor in the middle of the city
28:49so that you don't want to get rid of them
28:50will be able to teach them
28:51and destroy them 600 million dollars in one day
28:55The idea of the fact is that you can talk about 3 points
28:57Hardware, Software and Data
28:59HPT uses the processor of the Nvidia
29:01and this is Psyche
29:02which made the case of Nvidia
29:03used to use the processor of the Nvidia
29:05and this is the only reason why the GPUs of Nvidia
29:07are the only one of the A.I.
29:09So, that's what happens in the world
29:11is going to be in the software
29:13and in the software of the software
29:15and in the software of the software
29:16if we used thisIchabsy,
29:18we can use the processor of the open AI
29:20We can use the processor of Nvidia
29:21theكرane, not the other
29:23and transform the processor from here
29:24and you can get that out into the PC
29:26and you can't have it in the computer
29:27or in the computer, and it's there in the UX
29:28In the theory, there is no reason to say this,
29:30that is the case of Nvidia
29:31which has 600 million dollars in the world
29:32The average part of this book is that it is
29:34that it has all been written
29:34and it is the most rare, in the world
29:36even the most rare amount of energía
29:37but it is not even more than just the 3rd company
29:39in the world
29:40by Apple and Microsoft
29:41So so with that, your fault
29:42if you have the blame for the A.I.B.A.,
29:44then you have to change
29:45But no one has to be Nvidia in the top 3
29:46And no one has to be a story of Nvidia
29:48It's a story of an instance of Nvidia
29:49And the other thing is the thing that I have to do with Nvidia
29:52Is that it's a company that has to be able to fix the problems in the game
29:56The game is the most important thing in the game today
29:59That's why we're trying to work on the games
30:02Which is something that's very important
30:03But it's also something that's something that's doing
30:05And it's a story that's how it's about
30:07And the games are about life
30:08And the world
30:09And today is the Nvidia
30:11Nvidia is the one that's doing
30:12And the models
30:13so that you can talk to the world and make sure that we can get the same way.
30:17Nvidia, your dear, is able to do the same thing.
30:20The one who can think about the scenario,
30:22and you can do the same thing with the most scenarios.
30:24The world, your dear, was thinking today,
30:25and Nvidia was working on the day.
30:26Let's wait for you, your dear, and see what happens.
30:29Are you going to be able to get other companies from the system conductors?
30:32I wonder if it's going to be in the system,
30:34and we'll do it with another one.
30:35This is so good, your dear.
30:36It's okay.
30:36It's okay.
30:36It's okay.
30:37It's okay.
30:37It's okay.
30:37It's okay.
30:37It's okay.
30:37It's okay.
30:38It's okay.
30:38It's okay.
30:38It's okay.
30:39It's okay.
30:43What do you think about it?
30:44You know what?
30:45This is the sound.
30:45This is the sound.
30:46This is the light.
30:47This is the light.
30:48I hope you don't understand anything.
30:48We're going to do it.
30:48You can't do it.
30:50Wow.
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