NVIDIA

NVIDIA DGX B200 1,440GB Blackwell AI System (8x Blackwell)

Modello: DGX B200

The complete, turnkey flagship Blackwell AI system: NVIDIA's DGX B200 integrates eight Blackwell GPUs (1,440GB total), dual 112-core Intel Xeon Platinum processors, up to 4TB of system memory, and NVIDIA's software stack into a finished, air-cooled 10 RU machine delivering 72 petaFLOPS training and 144 petaFLOPS inference. NVIDIA's current-generation reference AI system, the Blackwell successor to the DGX H100, ready to deploy. Shipped worldwide DDP by MillionMiner.

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Specifiche complete

Modello DGX B200
GPU 8x NVIDIA Blackwell GPUs
Memoria GPU 1,440GB total
Prestazioni (Addestramento) 72 petaFLOPS
Prestazioni (Inferenza) 144 petaFLOPS
CPU 2x Intel Xeon Platinum 8570, 112 Cores
Memoria di sistema Up to 4TB
Consumo energetico del sistema Approximately 14.3kW max
Unità di rack (RU) 10 RU
Temperatura operativa 5–30°C (41–86°F)

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NVIDIA DGX B200 1,440GB Blackwell AI System: What It Is, How It Differs From the DGX H100 and HGX Servers, and Where It Fits

The DGX B200 is NVIDIA's complete, turnkey Blackwell AI system, the company's current-generation flagship reference platform, and it is genuine top-tier AI training and inference infrastructure. Like the DGX H100 it succeeds, it is a finished machine, not a bare baseboard, so there is no component-versus-system caveat to make. Placing it well means three things: what it is, how it advances on the DGX H100, and how a DGX differs from the OEM HGX servers that use comparable GPUs.

What the DGX B200 is. It is a fully integrated 8x Blackwell system. Eight Blackwell GPUs provide 1,440GB of total GPU memory, interconnected within the system, and it pairs them with dual 112-core Intel Xeon Platinum 8570 processors, up to 4TB of system memory, and NVIDIA's software stack. It delivers 72 petaFLOPS of training performance and 144 petaFLOPS of inference, ships with NVIDIA AI Enterprise and DGX OS, and comes as a complete, tested, air-cooled 10 RU system drawing approximately 14.3kW at maximum. This is a ready-to-deploy machine. (Scaling: it scales across multiple systems for larger clusters; the exact networking and interconnect are confirmed in the quote.)

How it advances on the DGX H100. The DGX B200 is the Blackwell-generation successor to the Hopper-based DGX H100. The step is substantial: Blackwell is NVIDIA's current architecture, and the B200 system delivers materially higher AI performance (72 PFLOPS training and 144 PFLOPS inference, well beyond the H100 system's 32 PFLOPS FP8) and far more GPU memory (1,440GB versus 640GB), for the largest current models and the most demanding training and inference. For an organization standing up new top-tier AI capacity, the B200 is the current-generation choice; the DGX H100 remains a capable Hopper-generation system at a different point. What a DGX is, versus an HGX server. As with the H100 generation, this is the key acquisition choice. HGX is NVIDIA's GPU baseboard platform that OEMs build their own servers around; DGX is NVIDIA's own complete system on that same GPU technology. They use comparable Blackwell GPUs, so raw GPU performance is similar. What differs is integration and support: the DGX is engineered, validated, and supported by NVIDIA as a single reference platform with its own software stack and support program, while an OEM HGX server is that vendor's integration at a different price and support model. Choose the DGX for NVIDIA's reference design and support as a turnkey unit; choose an OEM HGX Blackwell server for a different integration and price point. It depends on what an organization values. Genuine flagship AI infrastructure. The DGX B200 is real, current-generation, top-tier AI training and inference hardware, eight Blackwell GPUs with 1,440GB of memory and 72/144 petaFLOPS is frontier-class compute, and the DGX is the system NVIDIA itself positions as its AI infrastructure standard. There is no overstatement to qualify; it is exactly what it claims to be. Where it fits, and how to buy it. The DGX B200 sits at the top of the complete-systems lineup, NVIDIA's own current-generation turnkey 8x Blackwell machine, above the bare HGX baseboards (components, not systems), beside the OEM HGX servers as the premium fully-NVIDIA-integrated option, and ahead of the DGX H100 in generation. It is for organizations that want a complete, validated, supported current-generation AI system ready to deploy. As flagship hardware in a regulated category, MillionMiner confirms the configuration, export eligibility for Blackwell-class systems by destination, the site power and cooling fit, and the unit's condition before sale. Every system is tested and shipped worldwide DDP with duties handled, with hosting in MillionMiner's own data centers available. If you want NVIDIA's current reference AI system turnkey, the DGX B200 is it; if you want comparable GPUs at a different integration or price, MillionMiner will weigh the OEM HGX Blackwell servers with you.

NVIDIA DGX B200 1,440GB: NVIDIA's Reference Blackwell System

The DGX B200 is NVIDIA's flagship complete Blackwell AI system, the current-generation reference platform and the successor to the DGX H100, delivered as a finished, tested machine rather than components to integrate. What it is. A complete 8x Blackwell system: 1,440GB of total GPU memory, dual 112-core Intel Xeon Platinum 8570 processors, up to 4TB of system memory, and NVIDIA's full software stack, delivering 72 petaFLOPS of training and 144 petaFLOPS of inference performance, in one integrated, air-cooled 10 RU chassis. It ships with NVIDIA AI Enterprise and DGX OS. What distinguishes it. Three things. Generation: Blackwell is NVIDIA's current architecture, a step beyond the Hopper H100, with substantially more AI performance and the 1,440GB memory to match. Completeness: unlike a bare HGX baseboard, the DGX is the entire machine, GPUs, CPUs, memory, software, ready to power on. And it is NVIDIA's own reference design, the standard NVIDIA builds, validates, and supports for AI infrastructure. The trade-off versus OEM Blackwell HGX servers is integration and support level against price. MillionMiner confirms the configuration, export compliance, and condition in the quote, and ships worldwide DDP.

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NVIDIA DGX B200: The Complete Blackwell AI System

The DGX B200 is NVIDIA's current-generation complete, turnkey AI system, the finished Blackwell machine, not a baseboard or a build-it-yourself kit. It integrates eight Blackwell GPUs with 1,440GB of total GPU memory, dual 112-core Intel Xeon Platinum processors, up to 4TB of system memory, and NVIDIA's software stack into a single air-cooled 10 RU system delivering 72 petaFLOPS for training and 144 petaFLOPS for inference. As the Blackwell-generation successor to the DGX H100, it is NVIDIA's reference AI platform for the largest training and inference workloads, ready to deploy out of the box with NVIDIA AI Enterprise and DGX OS. Genuine flagship AI infrastructure, distinct from the OEM HGX servers that use comparable GPUs at different integration and price points. Shipped worldwide DDP by MillionMiner.

A Complete, Turnkey System

Not a baseboard, the finished Blackwell machine. 8x Blackwell, dual Xeon Platinum, up to 4TB RAM, and NVIDIA's software, integrated, tested, and ready to deploy.

1,440GB, 72/144 PFLOPS

Eight Blackwell GPUs, 1,440GB of memory, 72 petaFLOPS training and 144 petaFLOPS inference. The Blackwell successor to the DGX H100, frontier-class AI compute.

DGX or HGX?

The DGX is NVIDIA's own reference system; OEM HGX Blackwell servers use comparable GPUs at different integration and price. MillionMiner helps weigh which fits.

Domande frequenti

Domande frequenti

A complete, turnkey system. Unlike the bare HGX baseboards in this catalog, the DGX B200 is the entire finished machine: eight Blackwell GPUs, dual 112-core Xeon Platinum processors, up to 4TB of system memory, NVIDIA's networking, and NVIDIA AI Enterprise with DGX OS, integrated, tested, and ready to power on in a 10 RU chassis. There is nothing to integrate yourself.

The B200 is the Blackwell-generation successor to the Hopper-based DGX H100, and the step up is substantial. It delivers 72 petaFLOPS of training and 144 petaFLOPS of inference, well beyond the H100 system's 32 PFLOPS FP8, and 1,440GB of GPU memory versus the H100 system's 640GB. For new top-tier AI capacity, the B200 is the current-generation choice; the DGX H100 remains a capable Hopper-generation system at a different price point. MillionMiner will weigh them for your needs.

It is the key choice for acquiring an 8-GPU Blackwell system. HGX is NVIDIA's GPU baseboard that OEMs build their own servers around; DGX is NVIDIA's own complete system on that same GPU technology. They use comparable Blackwell GPUs, so raw GPU performance is similar. The difference is integration and support: the DGX is NVIDIA's validated reference platform with its own software and support program; an OEM HGX server is that vendor's integration at a different price and support model.

72 petaFLOPS for training and 144 petaFLOPS for inference across its eight Blackwell GPUs, with 1,440GB of total GPU memory. That is frontier-class, current-generation AI compute for training and serving the largest models. The dual 112-core Xeon Platinum processors and up to 4TB of system memory feed the GPUs, and the system scales across multiple units for larger clusters.

Everything needed to run: dual 112-core Intel Xeon Platinum 8570 processors, up to 4TB of system memory, and NVIDIA's software stack (NVIDIA AI Enterprise and DGX OS), in a complete air-cooled 10 RU system. MillionMiner confirms the exact networking, storage, and software configuration in the quote.

The DGX B200 draws approximately 14.3kW at maximum and is an air-cooled 10 RU system with an operating temperature range of 5–30°C. It requires data center power delivery and cooling appropriate to that density. This is data center infrastructure, not an office machine. MillionMiner confirms the power and cooling requirements for your site in the quote, and offers hosting in its own data centers if you lack suitable facilities.

Yes, unreservedly. Eight current-generation Blackwell GPUs delivering 72/144 petaFLOPS with 1,440GB of memory is top-tier AI training and inference infrastructure, and the DGX is the system NVIDIA itself positions as its AI infrastructure reference standard. Unlike the workstation and display cards elsewhere in this catalog, there is no overstatement to qualify.

Multiple DGX B200 systems interconnect via high-speed networking into larger clusters (NVIDIA's DGX BasePOD and SuperPOD reference architectures) for training that exceeds a single system. For multi-system deployments, MillionMiner confirms the networking and cluster configuration in the quote.

Confirmed for the specific unit in the quote. As current flagship Blackwell-class hardware, condition and provenance matter, and MillionMiner verifies each system and states its condition and warranty clearly. The DGX B200 is also export-regulated, so MillionMiner confirms destination eligibility and the compliance position before sale.

Submit your workload, large-model training, fine-tuning, or inference, and scale through the quote form. A MillionMiner specialist confirms the configuration, the software entitlement, power and cooling requirements, export eligibility for Blackwell-class systems, and whether the DGX B200, the DGX H100, or an OEM HGX server best fits your needs and budget, then delivery. Every system is tested before shipment and shipped worldwide DDP with duties handled, with hosting in MillionMiner's own data centers available.