{"id":19747,"date":"2019-02-15T11:31:35","date_gmt":"2019-02-15T10:31:35","guid":{"rendered":"http:\/\/blog.netspark.de\/?p=19747"},"modified":"2019-02-15T11:31:35","modified_gmt":"2019-02-15T10:31:35","slug":"nvidia-and-their-market-still-struggle","status":"publish","type":"post","link":"https:\/\/blog.netspark.de\/?p=19747","title":{"rendered":"NVidia and their market still struggle"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-Post-Thumb wp-image-19748\" src=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2019\/02\/nvidia_logo-64x64.png\" alt=\"\" width=\"64\" height=\"64\" srcset=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2019\/02\/nvidia_logo-64x64.png 64w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2019\/02\/nvidia_logo.png 128w\" sizes=\"auto, (max-width: 64px) 100vw, 64px\" \/>No good times for NVidia even with the fastest graphics cards<br \/>\nin their portfolio. NVidia has announced a 2.12 billion US$<br \/>\nrevenue for Q4 2018 (which ended on Jan, 27 2019). This is a<br \/>\nsetback of 24 pewrcent compared to Q4 2017.<\/p>\n<p><!--more-->But while the 24% of the YtY comparision looks already grimm, the QtQ comparision is much more devastating. The revenue in Q3, 2018 was 3.18 billion US$ and thus 31% more than in Q4 2018. This is a massive setback as the Q4 2018 also reflects the christmas shopping time. So it seems as if NVidia wasn&#8217;t able to profit from the christmas sales at all.<\/p>\n<p>Despite that, NVidia has achieved some milestones which should help them to get back on track:<\/p>\n<p><strong>Latest Highlights<\/strong><br \/>\nSince the end of the third quarter, NVIDIA has achieved progress in these areas:<\/p>\n<p><em>Datacenter<\/em><\/p>\n<ul>\n<li>Announced that the NVIDIA\u00ae T4 GPU launched in public beta on Google Cloud Platform, with availability in the U.S., Europe, Brazil, India, Japan, and Singapore.<br \/>\n<img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-19754\" src=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2019\/02\/NVidia_Tesla_T4_GPU.jpg\" alt=\"\" width=\"640\" height=\"504\" srcset=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2019\/02\/NVidia_Tesla_T4_GPU.jpg 640w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2019\/02\/NVidia_Tesla_T4_GPU-610x480.jpg 610w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2019\/02\/NVidia_Tesla_T4_GPU-500x394.jpg 500w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/p>\n<\/li>\n<li>Set six records in AI performance with the release of MLPerf, the industry\u2019s first objective set of AI benchmarks.<\/li>\n<li>Announced with Google the integration of NVIDIA\u2019s RAPIDS\u2122 GPU-accelerated data science libraries with Kubeflow Pipelines, a Kubernetes-based platform for deploying and managing machine learning workloads in hyperscale datacenters.<\/li>\n<\/ul>\n<p><em>Gaming<\/em><\/p>\n<ul>\n<li>Launched the GeForce RTX\u2122 2060 GPU, putting exceptional performance and graphics enhanced by ray tracing and AI within reach of tens of millions of gamers.<br \/>\n<a href=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2019\/02\/GeForce_RTX2060.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-19753\" src=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2019\/02\/GeForce_RTX2060-640x353.png\" alt=\"\" width=\"640\" height=\"353\" srcset=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2019\/02\/GeForce_RTX2060-640x353.png 640w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2019\/02\/GeForce_RTX2060-768x424.png 768w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2019\/02\/GeForce_RTX2060-500x276.png 500w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2019\/02\/GeForce_RTX2060.png 1344w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/a><\/p>\n<\/li>\n<li>Unveiled a record 40+ new gaming laptops in over 100 configurations powered by NVIDIA GeForce RTX GPUs.<\/li>\n<li>Expanded its G-SYNC\u2122 ecosystem with G-SYNC-compatible monitors, tested and driver-optimized by NVIDIA.<\/li>\n<li>Announced that Battlefield V, the first real-time ray tracing game, will add DLSS AI super-sampling technology; that the highly anticipated game Anthem will integrate DLSS; and that Justice, one of China\u2019s most popular MMO games, will add ray tracing and DLSS.<\/li>\n<\/ul>\n<p><em>Professional Visualization<\/em><\/p>\n<ul>\n<li>Introduced Quadro RTX\u2122 4000, bringing real-time ray tracing to millions of midrange workstation users.<br \/>\n<a href=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2019\/02\/quadro-rtx-4000-1.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-19752\" src=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2019\/02\/quadro-rtx-4000-1-640x335.jpg\" alt=\"\" width=\"640\" height=\"335\" srcset=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2019\/02\/quadro-rtx-4000-1-640x335.jpg 640w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2019\/02\/quadro-rtx-4000-1-768x402.jpg 768w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2019\/02\/quadro-rtx-4000-1-500x262.jpg 500w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2019\/02\/quadro-rtx-4000-1.jpg 1268w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/a><\/p>\n<\/li>\n<li>Announced the NVIDIA CUDA\u00ae-accelerated REDCODE RAW decode SDK, in collaboration with RED Digital Cinema, enabling developers and studios to edit 8K video in real time without the need for additional video processors.<\/li>\n<\/ul>\n<p><em>Automotive<\/em><\/p>\n<ul>\n<li>Introduced NVIDIA DRIVE\u2122 AutoPilot, the world\u2019s first commercially available Level 2+ automated driving system, with Tier 1 suppliers Continental and ZF announcing the availability of Level 2+ solutions based on NVIDIA DRIVE in 2020.<\/li>\n<li>Announced with Mercedes-Benz that it will create a centralized computing architecture for the automaker\u2019s next-generation vehicles, enabling them to be software-defined AI cars.<\/li>\n<\/ul>\n<p><em>Edge Computing<\/em><\/p>\n<ul>\n<li>Launched the NVIDIA Jetson AGX Xavier\u2122, a palm-sized module delivering 32 TOPS to help build the next generation of autonomous machines.<br \/>\n<img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-19750 size-medium\" src=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2019\/02\/NVidia_AGX_Jetson-640x345.png\" alt=\"\" width=\"640\" height=\"345\" srcset=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2019\/02\/NVidia_AGX_Jetson-640x345.png 640w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2019\/02\/NVidia_AGX_Jetson-500x269.png 500w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2019\/02\/NVidia_AGX_Jetson.png 678w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/p>\n<\/li>\n<li>Opened its AI and Robotics Research Lab in Seattle.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>No good times for NVidia even with the fastest graphics cards in their portfolio. NVidia has announced a 2.12 billion US$ revenue for Q4 2018 (which ended on Jan, 27 2019). This is a setback of 24 pewrcent compared to Q4 2017.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[55,342,3],"tags":[3609,3606,3608,347,3607,3062,3610],"class_list":["post-19747","post","type-post","status-publish","format-standard","hentry","category-computer-2","category-economyfinance","category-news","tag-agx","tag-fiscal-summary","tag-jetson","tag-nvidia","tag-quadro","tag-rtx","tag-xavier"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/blog.netspark.de\/index.php?rest_route=\/wp\/v2\/posts\/19747","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.netspark.de\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.netspark.de\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.netspark.de\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.netspark.de\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=19747"}],"version-history":[{"count":0,"href":"https:\/\/blog.netspark.de\/index.php?rest_route=\/wp\/v2\/posts\/19747\/revisions"}],"wp:attachment":[{"href":"https:\/\/blog.netspark.de\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=19747"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.netspark.de\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=19747"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.netspark.de\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=19747"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}