Enterprise
AI Infrastructure

Complete GPU infrastructure for AI training and inference. NVIDIA Blackwell B200, B300, Hopper H200, H100 and AMD Instinct MI355X, MI325X, MI300X accelerators. Enterprise servers from Dell, HPE, Supermicro with expert deployment support and flexible financing.

288GB Max Memory
12+ GPU Models
6 OEM Partners
8TB/s Peak Bandwidth

Turn Your Hardware Into a Revenue Stream

Every GPU you purchase can earn revenue on the SLYD Compute Marketplace — whether you're monetizing idle capacity or building a compute-as-a-service business.

Monetize Idle Capacity

Running training jobs during the day? List your GPUs on the marketplace at night and on weekends. Your hardware earns revenue instead of sitting idle, directly offsetting your total cost of ownership.

Run a Compute Business

Purchase hardware and list it full-time on the SLYD Marketplace as a compute provider. Set your own pricing, manage your fleet through our provider dashboard, and build recurring revenue from day one.

Secure by Design

Your hardware stays in your facility, under your control. SLYD's zero-trust architecture ensures tenant isolation, encrypted connections, and full data sovereignty.

Architecture Design

Custom cluster configuration

White-Glove Deployment

Installation and setup

24/7 Support

Enterprise SLA coverage

Flexible Financing

Preserve capital

What GPU models does SLYD offer for AI infrastructure?

SLYD offers the complete lineup of NVIDIA data center GPUs including B300 (288GB HBM3e), B200 (192GB HBM3e), H200 (141GB HBM3e), H100, A100, and RTX PRO 6000 (96GB GDDR7). We also carry AMD Instinct accelerators including MI355X (288GB HBM3E), MI325X (256GB HBM3E), and MI300X (192GB HBM3).

What is the difference between Blackwell and Hopper GPUs?

Blackwell (B200/B300) represents NVIDIA's latest architecture with up to 20-30 PFLOPS FP4 performance and 192-288GB HBM3e memory. Hopper (H100/H200) offers proven reliability with up to 4 PFLOPS FP8 and 80-141GB memory. Blackwell provides 2-15x performance improvements for inference workloads.

How do AMD MI300X GPUs compare to NVIDIA H100?

AMD MI300X offers 192GB HBM3 memory (2.4x more than H100 80GB) with 5.3TB/s bandwidth for large model training. It delivers competitive performance with ROCm software ecosystem. MI300X excels for memory-bound workloads like large language models.

What OEM partners does SLYD work with for AI servers?

SLYD partners with Dell Technologies, HPE, Supermicro, Lenovo, and Gigabyte for enterprise GPU servers. We offer HGX, DGX, and custom configurations with full deployment support, warranty coverage, and 24/7 enterprise support.

What workloads are best suited for different GPU types?

B200/B300: Large-scale LLM training and inference. H200: Production LLM inference, enterprise AI. H100: General AI training, proven reliability. MI300X/MI325X: Memory-intensive models, cost-effective training. RTX PRO 6000: Professional AI, visualization, content creation.

Does SLYD offer AI infrastructure financing?

Yes, SLYD offers flexible equipment financing for AI infrastructure. Preserve capital while deploying the latest GPU technology. Contact our sales team for custom terms on GPU servers, clusters, and complete data center deployments.

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