Subject: General Tech, Graphics Cards, Networking, Shows and Expos | March 19, 2019 - 06:16 PM | Jeremy Hellstrom
Tagged: nvidia, t4, amazon, microsoft, NGC, Mellanox, CUDA-X, GTC, jen-hsun huang, DRIVE Constellation, ai
As part of their long list of announcements yesterday, NVIDIA revealed they are partnering with Cisco, Dell EMC, Fujitsu, Hewlett Packard Enterprise, Inspur, Lenovo and Sugon to provide servers powered by T4 Tensor Core GPUs, optimized to run their CUDA-X AI accelerators.
Those T4 GPUs have been on the market for a while but this marks the first major success for NVIDIA in the server room, with models available for purchase from those aforementioned companies. Those who prefer other people's servers can also benefit from these new products, with Amazon and Microsoft offering Cloud based solutions. Setting yourself up to run NVIDIA's NGC software may save a lot of money down the road, the cards sip a mere 70W of power which is rather more attractive than the consumption of a gaggle of Tesla V100s. One might be guilty of suspecting this offers an explanation for their recent acquisition of Mellanox.
NGC software offers more than just a platform to run optimizations on, it also offers a range of templates to start off with from classification, and object detection, through sentiment analysis and most other basic starting points for training a machine. Customers will also be able to upload their own models to share internally or, if in the mood, externally with other users and companies. It supports existing products such as TensorFlow and PyTorch but also offers access to CUDA-X AI, which as the name suggests takes advantage of the base design of the T4 GPU to reduce the amount of time waiting for results and letting users advance designs quickly.
If you are curious exactly what particular implementations of everyone's favourite buzzword might be, NVIDIA's DRIVE Constellation is a example after JoshTekk's own heart. Literally an way to create open, scalable simulation for large fleets of self-driving cars to train them ... for good one hopes. Currently the Toyota Research Institute-Advanced Development utilizes these products in the development of their next self-driving fleet, and NVIDIA obviously hopes others will follow suit.
There is not much to see from the perspective of a gamer in the short term, but considering NVIDIA's work at shifting the horsepower from the silicon you own to their own Cloud this will certainly impact the future of gaming from both a hardware and gameplay perspective. GPUs as a Service may not be the future many of us want but this suggests it could be possible, not to mention the dirty tricks enemy AIs will be able to pull with this processing power behind them.
One might even dream that escort missions could become less of a traumatic experience!
Subject: General Tech | March 14, 2019 - 11:25 AM | Jim Tanous
Tagged: video, podcast, phoenix point, Mellanox, halo, gtx 1660, DirectX 12, corsair
PC Perspective Podcast #536 - 3/13/2019
Join us this week as we review the new NVIDIA GTX 1660 and a high-end case from Corsair, discuss NVIDIA's Mellanox acquisition, get excited over Halo for PC, and more!
Subscribe to the PC Perspective Podcast
Check out previous podcast episodes: http://pcper.com/podcast
00:00:06 - Intro
00:03:47 - Review: NVIDIA GTX 1660
00:22:22 - Review: Corsair Crystal Series 680X RGB Case
00:37:48 - News: NVIDIA Acquires Mellanox
00:47:58 - News: DirectX 12 for Windows 7
00:53:25 - News: Halo: The Master Chief Collection for PC
00:58:21 - News: Windows 10 KB4482887 Issues & Fix
01:00:40 - News: AMD Navi Launch Date Rumors
01:02:29 - News: Navi GPU Benchmarks?
01:10:03 - News: Phoenix Point Jumps Ship to Epic Games Store
01:25:22 - News: Samsung eMRAM for IoT
01:30:12 - News: The Web's 30th B-Day
01:34:40 - News: Corsair Carbide Series 678C Low-Noise Case
01:37:38 - Picks of the Week
Subject: Editorial | March 12, 2019 - 10:14 PM | Josh Walrath
Tagged: nvswitch, nvlink, nvidia, Mellanox, Intel, Infiniband, Ethernet, communications, chiplets, amd
In a bit of a surprise this past weekend NVIDIA announced that it is purchasing the networking company Mellanox for approximately $6.9 billion US. NVIDIA and Intel were engaged in a bidding war for the Israel based company. At first glance we do not see the synergies that could potentially come from such an acquisition, but in digging deeper it makes much more sense. This is still a risky move for NVIDIA as their previous history of acquisitions have not been very favorable for the company (Ageia, Icera, etc.).
Mellanox’s portfolio centers around datacenter connectivity solutions such as high speed ethernet and InfiniBand products. They are already a successful company that has products shipping out the door. If there is a super computer somewhere, chances are it is running Mallanox technology for high speed interconnects. This is where things get interesting for NVIDIA.
While NVIDIA focuses on GPUS they are spreading into the datacenter at a pretty tremendous rate. Their NVLink implementation allows high speed connectivity between GPUS and recently they showed off their NVSwitch which features 18 ports. We do not know how long it took to design the NVSwitch and get it running at a high level, but NVIDIA is aiming for implementations that will exceed that technology. NVIDIA had the choice to continue in-house designs or to purchase a company already well versed in such work with access to advanced networking technology.
Intel was also in play for Mellanox, but that particular transaction might not have been approved by anti-trust authorities around the world. If Intel had made an aggressive bid for Mellanox it would have essentially consolidated the market for these high end networking products. In the end NVIDIA offered the $6.9B US for the company and it was accepted. Because NVIDIA has no real networking solutions that are on the market it will likely be approved without issue. Unlike other purchases like Icera, Mellanox is actively shipping product and will add to the bottom line at NVIDIA.
The company was able to purchase Mellanox in a cash transaction. They simply dove into their cash reserves instead of offering Mellanox shareholders equal shares in NVIDIA. This $6.9B is above what AMD paid for ATI back in 2006 ($5.4B). There may be some similarities here in that the price for Mellanox could be overvalued compared to what they actually bring to the table and we will see write downs over the next several years, much as AMD did for the ATI purchase.
The purchase will bring them instant expertise with high performance standards like InfiniBand. It will also help to have design teams versed in high speed, large node networking apply their knowledge to the GPU field and create solutions better suited for the technology. They will also continue to sell current Mellanox products.
Another purchase in the past that looks somewhat similar to this is AMD’s acquisition of SeaMicro. That company was selling products based on their Freedom Fabric technology to create ultra-dense servers utilizing dozens of CPUs. This line of products was discontinued by AMD after poor sales, but they expanded upon Freedom Fabric and created the Infinity Fabric that powers their latest Zen CPUs.
I can see a very similar situation occurring at NVIDIA. AMD is using their Infinity Fabric to connect multiple chiplets on a substrate, as well as utilizing that fabric off of the substrate. It also has integrated that fabric into their latest Vega GPUs. This philosophy looks to pay significant dividends for AMD once they introduce their 7nm CPUs in the form of Zen 2 and EPYC 2. AMD is not relying on large, monolithic dies for both their consumer and enterprise parts, thereby improving yields and bins on these parts as compared to what Intel does with current Xeon parts.
When looking at the Mellanox purchase from this view, it makes a lot of sense for NVIDIA. With process node advances moving at a much slower pace, the demand for higher performance solutions is only increasing. To meet this demand NVIDIA will be required to make efficient, multi-chip solutions that may require more performance and features than what can be covered by NVLINK. Mellanox could potentially provide the expertise and experience to help NVIDIA achieve such scale.