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We are very proud to announce the world's first and only Nvidia GH200 Grace-Hopper Superchip and Nvidia Grace-Grace Superchip-powered supercomputers in quiet, handy and beautiful desktop form factors. Our benchmarks show that they are currently by far the fastest AI and also the fastest ARM desktop PCs in the world.
Example use case: Inferencing Falcon-180B LLMDownload: https://huggingface.co/tiiuae/falcon-180BFalcon-180B is a 180 billion-parameters causal decoder-only model trained on 3,500B tokens of RefinedWeb enhanced with curated corpora.Why use Falcon-180B? It is one of the best open-access models currently available, and one of the best models overall. Falcon-180B outperforms LLaMA-2, StableLM, etc. It is made available under a permissive license allowing for commercial use.Falcon-180B needs at least 400GB of memory to swiftly run inference! Luckily, GH200 has a minimum of 576GB.Why should you buy your own hardware?"You'll own nothing and you'll be happy?" No!!! Never should you bow to Satan and rent stuff that you can own. In other areas, renting stuff that you can own is very uncool and uncommon. Or would you prefer to rent "your" car instead of owning it? Most people prefer to own their car, because it's much cheaper, it's an asset that has value and it makes the owner proud and happy. The same is true for compute infrastructure.Even more so, because data and compute infrastructure are of great value and importance and are preferably kept on premises, not only for privacy reasons but also to keep control and mitigate risks. If somebody else has your data and your compute infrastructure you are in big trouble.Speed, latency and ease-of-use are also much better when you have direct physical access to your stuff.With respect to AI and specifically LLMs there is another very important aspect. The first thing big tech taught their closed-source LLMs was to be "politically correct" (lie) and implement guardrails, "safety" and censorship to such an extent that the usefulness of these LLMs is severely limited. Luckily, the (open-source) tools are out there to build and tune AI that is really intelligent and really useful. But first, you need your own hardware to run it on.
What are the main benefits of GH200 Grace-Hopper?Its performance in every regard is almost unreal (up to 284 times faster than x86).Much cheaper than alternative systems with the same amount of memory.It has enough memory to run the biggest LLMs currently available.Optimized for memory-intensive inference and HPC performance.Ideal for AI, especially inference and fine-tuning of LLMs.Ideal for HPC applications like, e.g. genome sequencing.Connect display and keyboard, and you are ready to go.You can use it as a server or a desktop/workstation.Easily customizable, upgradable and repairable.Privacy and independence from cloud providers.Cheaper and much faster than cloud providers. Flexibility and the possibility of offline use.Perfect for edge AI ML GPT LLM and HPC.Gigantic amounts of coherent memory.No special infrastructure is needed.The lowest possible latency.It is very power-efficient.It is easy to transport.It is very quiet.It is beautiful.Runs Linux.What is the difference to alternative systems with the same amount of memory?Compared to a 8x Nvidia H100 system, GH200 costs 5x less, consumes 10x less energy and has very roughly the same performance.Compared to a 8x Nvidia A100 system, GH200 costs 3x less, consumes 5x less energy and has at least the same performance.Compared to a 4x AMD Mi300X system, GH200 costs 3x less, consumes 4x less energy and has roughly the same performance.Compared to a 4x AMD Mi300A system (which has only 512 GB memory, more is not possible because the maximum number of scale-up infinity links is 4), GH200 costs significantly less, consumes 3x less energy and has at least the same performance.Compared to a 8x Nvidia RTX A6000 Ada system which has significantly less memory (only 384GB), GH200 costs significantly less, consumes 3x less energy and has a higher performance.Compared to a 8x AMD Radeon PRO W7900 system which has significantly less memory (only 384GB), GH200 costs the same, consumes 3x less energy and has a higher performance.
The main difference between GH200 and alternative systems is that with GH200, the GPU is connected to the CPU via a 900 GB/s NVLink vs. 128 GB/s PCIe gen5 used by traditional systems. Furthermore, multiple superchips can be connected via 900 GB/s NVLink vs. orders of magnitudes slower network connections used by traditional systems. Since these are the main bottlenecks, GH200's high-speed connections directly translate to much higher performance compared to traditional architectures.
The alternative systems mentioned above also have one thing in common: they are not available in standard desktop form factors, like our GH200 systems are.
PS: Please note that because of lack of benchmark data, the assumptions above are very rough estimates based on publicly available information and in-house benchmarking. We partner with Phoronix to benchmark as much as possible and will hopefully soon have solid data in the form of publicly available benchmarks to see how the different solutions compare for different workloads. The comparisons are expected to vary greatly for different workloads. If you want to know how your workloads performs on GH200 you can apply for a remote bare metal test here: Try What is the difference to 19-inch server models?Form factor: 19-inch servers have a very distinct form factor. They are of low height and are very long, e.g. 438 x 87.5 x 900mm (17.24" x 3.44" x 35.43"). This makes them rather unsuitable to place them anywhere else than in a 19-inch rack. Our GH200 and Grace tower models have desktop form factors: 244 x 567 x 523 mm (20.6 x 9.6 x 22.3") or 255 x 565 x 530 mm (20.9 x 10 x 22.2") or 250 x 404 x 359 mm (9.8 x 15.9 x 14.1"). This makes it possible to place them almost anywhere.Noise: 19-inch servers are extremely loud. The average noise level is typically around 90 decibels, which is as loud as a subway train and exceeds the noise level that is considered safe for workers subject to long-term exposure. In contrast, our GH200 and Grace tower models are very quiet (factory setting is 25 decibels) and they can easily be adjusted to even lower or higher noise levels because each fan can be tuned individually and manually from 0 to 100% PWM duty cycle. Efficient cooling is ensured, because our GH200 tower models have a higher number of fans and the low-revving Noctua fans have a much bigger diameter compared to their 19-inch counterparts and move approximately the same amount of air or even a much higher amount depending on the specific configuration and PWM tuning.Transportability: 19-inch servers are not meant to be transported, consequently, they lack every feature in this regard. In addition, their form factor makes them rather unsuitable to be transported. Our GH200 tower models, in contrast, can be transported very easily. Our metal and mini cases even feature two handles, which makes moving them around very easy.Infrastructure: 19-inch servers typically need quite some infrastructure to be able to be deployed. At the very least, a 19-inch mounting rack is definitely required. Our GH200 models do not need any special infrastructure at all. They can be deployed quickly and easily almost everywhere.Latency: 19-inch servers are typically accessed via network. Because of this, there is always at least some latency. Our GH200 tower models can be used as desktops/workstations. In this use case, the latency is virtually non-existent. Looks: 19-inch server models are not particularly aesthetically pleasing. In contrast, our available case options are in our humble opinion by far the most beautiful there are.Technical details of our GH200 workstations (base configuration)Metal tower with two color choices: Titan grey and Champagne goldGlass tower with four color choices: white, black, green or turquoiseMini tower with two color choices: white and blackAvailable air or liquid-cooledNvidia GH200 Grace Hopper Superchip (the Dual model has two)1x/2x 72-core Nvidia Grace CPU1x/2x Nvidia H100 Tensor Core GPU480GB/960GB of LPDDR5X memory with error-correction code (ECC)96GB of HBM3 or 144GB of HBM3e or 1248GB of HBM3e576GB or 624GB or 1248GB of fast-access memoryNVLink-C2C: 900 GB/s of coherent memoryProgrammable from 450W to 1000W TDP (CPU + GPU + memory)2x/4x High-efficiency 2000W/2400W PSU2x/4x PCIe gen4/5 M.2 22110/228 slots on board2x/4x/8x PCIe gen4/5 drive slots (NVMe)2x/3x FHFL PCIe Gen5 x161x/3x/4x USB 3.0 ports2x RJ45 10GbE ports1x RJ45 IPMI port1x Mini display portHalogen-free power cablesStainless steel boltsVery quiet, the factory setting is 25 decibels (fan speed and thus noise level can be individually and manually configured from 0 to 100% PWM duty cycle)2 years manufacturer's warranty244 x 567 x 523 mm (20.6 x 9.6 x 22.3") or 255 x 565 x 530 mm (20.9 x 10 x 22.2") or 250 x 404 x 359 mm (9.8 x 15.9 x 14.1")30 kg (66 lbs) or 20 kg (44 lbs)Optional componentsNIC Nvidia Bluefield-3 400GbNIC Nvidia ConnectX-7 200GbNIC Intel 100GbWLAN + Bluetooth cardUp to 2x 8TB M.2 SSDUp to 8x 8TB E1.S SSDUp to 10x 60TB 2.5" SSDStorage controllerRaid controllerAdditional USB portsMulti-display graphics cardAdditional Tensor-Core-GPUsSound cardMouseKeyboardConsumer or industrial fansIntrusion detectionOS preinstalledAnything possible on requestWhat are the main differences between the offered GH200 models?GH200: metal or glass tower, air-cooled, with 1 of 2 M.2 and 0 of 4 E1.S hard disks, 3x USBGH200 Special Edition: metal or glass tower, air-cooled, without M.2 (0 of 2) and 2.5" (0 of 4) hard disks, 1x USB (mini USB hub included: 3x USB)GH200 Super: metal or glass tower, air-cooled, with one M.2 (1 of 2) and no E1.S (0 of 8) hard disks, 1x USB (mini USB hub included: 3x USB)GH200 Giga: metal or glass tower, air-cooled, with one M.2 (1 of 2) and no 2.5" (0 of 4) hard disks, 2x USBGH200 Liquid: metal or glass tower, liquid-cooled, comes with 1 of 2 M.2 and 0 of 8 E1.S hard disks, 4x USBGH200 Mini: mini tower, air-cooled, comes with 1 of 2 M.2 and 0 of 2 E1.S hard disks, 1x USB (mini USB hub included: 3x USB)GH200 Dual: Two NVlinked superchips, metal or glass tower, air-cooled, comes with 2 of 4 M.2 and 0 of 8 E1.S hard disks, 4x USB
Comparison chart: GH200 comparison chart.pdf
Compute performance67/134 teraFLOPS FP64989/1978 teraFLOPS TF321,979/3,958 teraFLOPS FP163,958/7,916 teraFLOPS FP83,958/7,916 TOPS INT8Benchmarks
Phoronix is currently benchmarking our GH200 576GB model. Initial results are available here:
https://www.phoronix.com/review/nvidia-gh200-gptshop-benchmarkhttps://www.phoronix.com/review/nvidia-gh200-amd-threadripperhttps://www.phoronix.com/review/aarch64-64k-kernel-perfhttps://www.phoronix.com/review/nvidia-gh200-compilersWhite paper: Nvidia GH200 Grace-Hopper white paperThe Grace-Grace superchip
The Nvidia Grace CPU delivers twice the performance per watt of conventional x86-64 platforms and is currently the world’s fastest ARM CPU.Technical details of our GG workstations (base configuration)Metal tower with two color choices: Titan grey and Champagne goldGlass tower with four color choices: white, black, green or turquoiseAvailable air-cooledNvidia Grace-Grace Superchip (the Dual model has two)2x/4x 72-core Nvidia Grace CPU960GB/1920GB of LPDDR5X memory with error-correction code (ECC)NVLink-C2C: 900 GB/s of coherent memory500W/1000W TDP (CPU + GPU + memory)2x High-efficiency 2000W/2400W PSU2x PCIe gen4/5 M.2 22110/228 slots on board2x/4x/8x PCIe gen4/5 drive slots (NVMe)7x/8x FHFL PCIe Gen5 x162x/8x USB 3.0 ports2x RJ45 10GbE ports1x RJ45 IPMI port1x Mini display portHalogen-free power cablesStainless steel boltsVery quiet, the factory setting is 25 decibels (fan speed and thus noise level can be individually and manually configured from 0 to 100% PWM duty cycle)2 years manufacturer's warranty244 x 567 x 523 mm (20.6 x 9.6 x 22.3") or 255 x 565 x 530 mm (20.9 x 10 x 22.2")30 kg (66 lbs)Optional componentsNIC Nvidia Bluefield-3 400GbNIC Nvidia ConnectX-7 200GbNIC Intel 100GbWLAN + Bluetooth cardUp to 2x 8TB M.2 SSDUp to 8x 8TB E1.S SSDUp to 10x 60TB 2.5" SSDStorage controllerRaid controllerAdditional USB portsMulti-display graphics cardSound cardMouseKeyboardConsumer or industrial fansIntrusion detectionOS preinstalledAnything possible on requestWhat are the main differences between the offered GG models?GG 960GB: metal or glass tower, air-cooled, with 1 of 2 M.2 and 0 of 8 E1.S hard disks, 2x USBGG Dual 1920GB: Two Grace-Grace superchips, metal or glass tower, air-cooled, comes with 2 of 4 M.2 and 0 of 8 E1.S hard disks, 4x USB
Comparison chart: GG comparison chart.pdf
White paper: Nvidia Grace-Grace white paper
Trademark information: Nvidia is a trademark of Nvidia corporation. ARM is a trademark of Arm Holdings plc.Download
Here you can find various downloads concerning our GH200 and Grace systems: operating systems, firmware, drivers, software, manuals, white papers, spec sheets and so on. Everything you need to run your system and more.
Comparison chartsComparison chart GH200 Grace-Hopper systems: GH200 comparison chart.pdfComparison chart GG Grace-Grace systems: GG comparison chart.pdf
Spec sheetsGH200 Dual 1248GB: Spec sheet GH200 Dual 1248GB.pdfGH200 Glass Dual 1248GB: Spec sheet GH200 Glass Dual 1248GB.pdfGH200 576GB: Spec sheet GH200 576GB.pdfGH200 624GB: Spec sheet GH200 624GB.pdfGH200 Special Edition 576GB: Spec sheet GH200 Special Edition 576GB.pdfGH200 Special Edition 624GB: Spec sheet GH200 Special Edition 624GB.pdfGH200 Super 576GB: Spec sheet GH200 Super 576GB.pdfGH200 Super 624GB: Spec sheet GH200 Super 624GB.pdfGH200 Giga 576GB: Spec sheet GH200 Giga 576GB.pdfGH200 Giga 624GB: Spec sheet GH200 Giga 624GB.pdfGH200 Liquid 576GB: Spec sheet GH200 Liquid 576GB.pdfGH200 Liquid 624GB: Spec sheet GH200 Liquid 624GB.pdfGH200 Glass 576GB: Spec sheet GH200 Glass 576GB.pdfGH200 Glass 624GB: Spec sheet GH200 Glass 624GB.pdfGH200 Glass Special Edition 576GB: Spec sheet GH200 Glass Special Edition 576GB.pdfGH200 Glass Special Edition 624GB: Spec sheet GH200 Glass Special Edition 624GB.pdfGH200 Glass Super 576GB: Spec sheet GH200 Glass Super 576GB.pdfGH200 Glass Super 624GB: Spec sheet GH200 Glass Super 624GB.pdfGH200 Glass Giga 576GB: Spec sheet GH200 Glass Giga 576GB.pdfGH200 Glass Giga 624GB: Spec sheet GH200 Glass Giga 624GB.pdfGH200 Glass Liquid 576GB: Spec sheet GH200 Glass Liquid 576GB.pdfGH200 Glass Liquid 624GB: Spec sheet GH200 Glass Liquid 624GB.pdfGH200 Mini 576GB: Spec sheet GH200 Mini 576GB.pdfGH200 Mini 624GB: Spec sheet GH200 Mini 624GB.pdfGG 960GB: Spec sheet GG 960GB.pdfGG Glass 960GB: Spec sheet GG Glass 960GB.pdfGG Dual 1920GB: Spec sheet GG Dual 1920GB.pdfGG Glass Dual 1920GB: Spec sheet GG Glass Dual 1920GB.pdf
ManualsOfficial Nvidia GH200 Manual: https://docs.nvidia.com/grace/#grace-hopperOfficial Nvidia Grace Manual: https://docs.nvidia.com/grace/#grace-cpuOfficial Nvidia Grace getting started: https://docs.nvidia.com/grace/#getting-started-with-nvidia-graceGH200 Dual 1248GB: Manual GH200 Dual 1248GB.pdfGH200 Glass Dual 1248GB: Manual GH200 Glass Dual 1248GB.pdfGH200 576GB: Manual GH200 576GB.pdfGH200 624GB: Manual GH200 624GB.pdfGH200 Special Edition 576GB: Manual GH200 Special Edition 576GB.pdfGH200 Special Edition 624GB: Manual GH200 Special Edition 624GB.pdfGH200 Super 576GB: Manual GH200 Super 576GB.pdfGH200 Super 624GB: Manual GH200 Super 624GB.pdfGH200 Giga 576GB: Manual GH200 Giga 576GB.pdfGH200 Giga 624GB: Manual GH200 Giga 624GB.pdfGH200 Liquid 576GB: Manual GH200 Liquid 576GB.pdfGH200 Liquid 624GB: Manual GH200 Liquid 624GB.pdfGH200 Glass 576GB: Manual GH200 Glass 576GB.pdfGH200 Glass 624GB: Manual GH200 Glass 624GB.pdfGH200 Glass Special Edition 576GB: Manual GH200 Glass Special Edition 576GB.pdfGH200 Glass Special Edition 624GB: Manual GH200 Glass Special Edition 624GB.pdfGH200 Glass Super 576GB: Manual GH200 Glass Super 576GB.pdfGH200 Glass Super 624GB: Manual GH200 Glass Super 624GB.pdfGH200 Glass Giga 576GB: Manual GH200 Glass Giga 576GB.pdfGH200 Glass Giga 624GB: Manual GH200 Glass Giga 624GB.pdfGH200 Glass Liquid 576GB: Manual GH200 Glass Liquid 576GB.pdfGH200 Glass Liquid 624GB: Manual GH200 Glass Liquid 624GB.pdfGH200 Mini 576GB: Manual GH200 Mini 576GB.pdfGH200 Mini 624GB: Manual GH200 Mini 624GB.pdfGG 960GB: Manual GG 960GB.pdfGG Glass 960GB: Manual GG Glass 960GB.pdfGG Dual 1920GB: Manual GG Dual 1920GB.pdfGG Glass Dual 1920GB: Manual GG Glass Dual 1920GB.pdf
Operating systemsUbuntu Server for ARM: https://ubuntu.com/download/server/armUbuntu Desktop for ARM: https://cdimage.ubuntu.com/daily-live/current/noble-desktop-arm64.iso
There are special Nvidia kernels for Ubuntu 22.04: https://packages.ubuntu.com/search?keywords=linux-nvidia-64k-hwe
Any other ARM linux distribution with kernel > 6.2 should work just fine. Using the newest 64k kernel is highly recommended.
DriversNvidia GH200 drivers: https://www.nvidia.com/Download/index.aspx?lang=en-us
Select product type "data center", product series "HGX-Series" and operating system "Linux aarch64".Asus RTX 4060, Asus RTX 4080, Nvidia RTX A6000 Ada drivers: https://www.nvidia.com/Download/index.aspx?lang=en-us
Select the corresponding product type, product series and operating system "Linux aarch64".Nvidia Bluefield-3 drivers: https://developer.nvidia.com/networking/doca#downloadsNvidia ConnectX-7 drivers: https://network.nvidia.com/products/ethernet-drivers/linux/mlnx_en/Intel E810-CQDA2 drivers: https://www.intel.com/content/www/us/en/download/19630/intel-network-adapter-driver-for-e810-series-devices-under-linux.html?wapkw=E810-CQDA2Broadcom eHBA 9600-16i drivers: https://www.broadcom.com/products/storage/host-bus-adapters/sas-nvme-9600-16iGraid SupremeRAID SR-1001 drivers: https://docs.graidtech.com/#linux-driver
Firmware/BiosGH200 Dual (Glass): coming soonGH200 (Glass): Firmware Bios GH200 (Glass).zipGH200 Special Edition (Glass): coming soonGH200 Super (Glass): coming soonGH200 Giga (Glass): coming soonGH200 Liquid (Glass): coming soonGH200 Mini: coming soonGG 960GB (Glass): coming soonGG Dual 1920GB (Glass): coming soonNvidia Bluefield-3 firmware: https://network.nvidia.com/support/firmware/bluefield3/Nvidia ConnectX-7 firmware: https://network.nvidia.com/support/firmware/connectx7/Intel E810-CQDA2 firmware: https://www.intel.com/content/www/us/en/search.html?ws=idsa-default#q=E810-CQDA2Broadcom eHBA 9600-16i firmware: https://www.broadcom.com/products/storage/host-bus-adapters/sas-nvme-9600-16i
SoftwareNvidia Github: https://github.com/NVIDIANvidia CUDA: https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=arm64-sbsaNvidia Container-toolkit: https://github.com/NVIDIA/nvidia-container-toolkitNvidia Tensorflow: https://github.com/NVIDIA/tensorflowNvidia Pytorch: https://catalog.ngc.nvidia.com/orgs/nvidia/containers/pytorchNvidia NIM models: https://build.nvidia.com/explore/discoverNvidia Triton inference server: https://www.nvidia.com/de-de/ai-data-science/products/triton-inference-server/Nvidia NeMo Customizer: https://developer.nvidia.com/blog/fine-tune-and-align-llms-easily-with-nvidia-nemo-customizer/Huggingface open source LLMs: https://huggingface.co/modelsHuggingface text generation inference: https://github.com/huggingface/text-generation-inferencevLLM - inference and serving engine: https://github.com/vllm-project/vllmOllama - run LLMs locally: https://ollama.com/Fine-tune Llama 3 with PyTorch FSDP and Q-Lora: https://www.philschmid.de/fsdp-qlora-llama3/
BenchmarkingPhoronix test suite: https://www.phoronix-test-suite.com/MLCommons: https://github.com/mlcommons
White paper Nvidia GH200 Grace-Hopper white paperNvidia Grace-Grace white paperContact
Email: x@gptshop.ai
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Try
Try before you buy. You can apply for remote testing of a GH200 or Grace system. After approval, you will be given login credentials for remote access. If you want to come by and see it for yourself and run some tests, that is also possible any time.
Currently available for testing: GH200 576GB
Apply via email: x@gptshop.ai