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Atom Miners™ provides institutional and enterprise clients with access to cutting-edge AI accelerators and high-performance computing infrastructure. Sourced directly from leading manufacturers including NVIDIA, AMD, Intel, and emerging AI hardware producers, our procurement solutions range from single accelerators for development workstations to fully integrated clusters consuming hundreds of megawatts.
We specialize in navigating complex supply chains, including restricted markets, by structuring local transactions through partner entities. For organizations pivoting from cryptocurrency mining to AI compute hosting, we offer flexible crypto asset exchange options.
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The AMD Instinct MI210 brings exascale-class double-precision performance to mainstream rack servers. With 45.3 TFLOPS of FP64 matrix performance and 64GB of HBM2e memory at 1.6 TB/s, it delivers over 2X the FP64 throughput of competing PCIe accelerators in the same 300W power envelope.
Deploy and scale generative and agentic AI within your existing infrastructure using AMD Instinct MI350P PCIe® cards – designed for high performance, leadership cost, an open, enterprise-ready AI stack, and simple deployment.
Cambricon MLU370 (Machine Learning Units) are specialized AI chips optimized for inference and training in edge and datacenter scenarios.
The Huawei Atlas 300T A2 training card is a training card based on the Ascend 910B AI chip, which cooperates with the server to provide powerful computing power for the data center. It has the advantages of high computing density, large memory, and high bandwidth. The standard full-height 3/4-length PCIe card is suitable for general-purpose servers. Meet the computing power needs of operators, the Internet, finance, etc. that require artificial intelligence training and high-performance computing.
Hygon DCU K100-AI based on the GPGPU architecture, it is compatible with general-purpose “CUDA-like” environments, and can be widely used in the fields of big data processing, artificial intelligence, and business computing.
The Intel Gaudi 3 PCIe card HL-338 packs 128GB of HBM2e memory, 3.7 TB/s bandwidth, and 24 on-chip 200GbE RoCE v2 networking ports into a standard PCIe Gen5 dual-slot card. It supports PyTorch natively, integrates with Hugging Face and vLLM, and handles LLM inference, fine-tuning, and training workloads with automated FP8 quantization.
The NVIDIA H100 GPU delivers exceptional performance, scalability, and security for every workload. H100 uses breakthrough innovations based on the NVIDIA Hopper™ architecture to deliver industry-leading conversational AI, speeding up large language models (LLMs) by 30X. H100 also includes a dedicated Transformer Engine to solve trillion-parameter language models.
NVIDIA H200 NVL 141 GB Passive PCIe – A high-performance data center GPU built on the Hopper architecture, featuring 141 GB of HBM3e memory with 4.8 TB/s bandwidth and 16,896 CUDA cores. Designed for large-scale AI, HPC, and LLM workloads, it delivers up to 67 TFLOPS of FP32 performance in a passive-cooled PCIe 5.0 form factor.
The NVIDIA L4 Tensor Core GPU powered by the NVIDIA Ada Lovelace architecture delivers universal, energy-efficient acceleration for video, AI, visual computing, graphics, virtualization, and more. Packaged in a low-profile form factor, L4 is a cost-effective, energy-efficient solution for high throughput and low latency in every server, from the edge to the data center to the cloud.
Experience breakthrough multi-workload performance with the NVIDIA L40S GPU. Combining powerful AI compute with best-in-class graphics and media acceleration, the L40S GPU is built to power the next generation of data center workloads—from generative AI and large language model (LLM) inference and training to 3D graphics, rendering, and video.
The NVIDIA RTX PRO 6000 Blackwell Workstation Edition is the most powerful desktop GPU ever created, redefining performance and capability for professionals. Dominate the most advanced models and tackle the most demanding creative workflows with unmatched AI processing power. Built on the groundbreaking NVIDIA Blackwell architecture and equipped with 96GB of ultra-fast GDDR7 memory, the RTX PRO 6000 delivers unparalleled speed, precision, and efficiency, empowering you to achieve the impossible.
The Tenstorrent Wormhole n300s is a 3/4-size PCIe AI accelerator card powered by two RISC-V-based Wormhole Tensix processors, operating at up to 300W. Designed for cost-effective AI model training and inference, it features 24GB of GDDR6 memory, supports broad data precision formats, and utilizes an open-source software stack.
