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.
NVIDIA AI Accelerators
Industry-leading Tensor Core GPUs from Blackwell, Hopper, and Ada Lovelace architectures for AI training and inference
B300
Blackwell Architecture
B200
Blackwell Architecture
H200
Hopper Architecture
H100
Hopper Architecture
A100
Ampere Architecture
RTX PRO 6000
Blackwell Architecture
AMD Instinct Accelerators
High-performance CDNA architecture GPUs with massive memory capacity and ROCm open software ecosystem
OEM Server Partners
Enterprise GPU servers from industry-leading manufacturers
Dell Technologies
PowerEdge servers with HGX configurations for AI training and inference
HPE
ProLiant and Apollo GPU systems with enterprise management
Supermicro
High-density GPU servers with flexible configurations
Lenovo
ThinkSystem servers with liquid cooling and HPC expertise
Gigabyte
Cost-effective GPU servers with rapid deployment
Architecture Design
Custom cluster configuration
White-Glove Deployment
Installation and setup
24/7 Support
Enterprise SLA coverage
Flexible Financing
Preserve capital
Frequently Asked Questions
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 9 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.
Ready to Deploy AI Infrastructure?
Our infrastructure specialists provide expert consultation on GPU selection, cluster configuration, and complete deployment planning. Get competitive quotes with flexible financing options.
