Consumer GPUs
Mainstream NVIDIA GeForce and AMD Radeon cards across high, mid, and entry tiers for gaming, local AI, creator workloads, and multi-display systems.
High tier
Mid tier
Entry tier
AI hardware sourcing
Mainstream GPUs and optical modules for compute infrastructure.
Access consumer, workstation, and enterprise GPU supply across NVIDIA and AMD tiers, paired with server optical modules for high-throughput deployments.
GPU
Consumer, creator, workstation, and data center classes
NVIDIA / AMD
High, mid, and entry tier mainstream models
Optics
Server optical modules for rack and cluster connectivity
A focused hardware portfolio for accelerated computing.
Source across gaming, AI development, rendering, inference, training, virtualization, and high-speed network expansion needs.
Enterprise GPUs
Professional and data center accelerators for inference, training, simulation, rendering, VDI, and server integration across NVIDIA and AMD platforms.
AI
Rendering
Server
Server Optical Modules
Optical transceiver modules for servers, switches, and data center links, supporting reliable throughput across rack-scale compute deployments.
Rack
Cluster
Network
NVIDIA product focus for AI, graphics, and data center builds.
Commonly requested NVIDIA systems and GPUs can be matched by workload, chassis, cooling method, power envelope, and deployment scale.
H200
Hopper-generation accelerator for generative AI, large language model inference, and HPC workloads that benefit from larger high-bandwidth memory.
- Memory
- 141 GB
- Type
- HBM3e
- Bandwidth
- 4.8 TB/s
- Power / form
- Up to 700 W / SXM or PCIe
B300 / DGX B300
Blackwell Ultra platform option for modern AI factory deployments, reasoning workloads, large-scale inference, and training infrastructure.
- GPUs
- 8x Blackwell Ultra SXM
- Total GPU memory
- 2.1 TB
- Interconnect
- 14.4 TB/s aggregate NVLink
- Power / form
- ~14 kW / 10U system
H100
Hopper Tensor Core GPU for enterprise AI, training, inference, HPC, analytics, and scalable server clusters.
- Memory
- 80 GB
- Type
- HBM3
- Bandwidth
- 3.35 TB/s
- Power / form
- Up to 700 W / SXM
A100
Ampere Tensor Core GPU widely used for AI, data analytics, HPC, and multi-instance GPU deployments across elastic data centers.
- Memory
- 80 GB
- Type
- HBM2e
- Bandwidth
- 1,935-2,039 GB/s
- Power / form
- 300-400 W / PCIe or SXM
RTX 5090
Flagship GeForce RTX 50 Series GPU for high-end gaming, creator workflows, local AI experimentation, and ray-traced graphics.
- Memory
- 32 GB
- Type
- GDDR7
- Bus width
- 512-bit
- Interface
- PCIe Gen 5
RTX PRO 6000 Server
Blackwell professional GPU option for multi-GPU server deployments, inference, fine-tuning, virtual workstations, rendering, and HPC.
- Memory
- 96 GB
- Type
- GDDR7 ECC
- Bus / bandwidth
- 512-bit / 1,597 GB/s
- Power / form
- Up to 600 W / passive
RTX PRO 6000 Workstation
Desktop professional GPU for AI development, simulation, visualization, 3D rendering, data science, and demanding creative production.
- Memory
- 96 GB
- Type
- GDDR7 ECC
- Bandwidth
- 1,792 GB/s
- Power / form
- 600 W / dual slot
DGX Spark
Compact Grace Blackwell desktop AI system for prototyping, fine-tuning, and deploying local AI models with an integrated software stack.
- System memory
- 128 GB
- Type
- LPDDR5x unified
- Bus / bandwidth
- 256-bit / 273 GB/s
- Power / form
- 240 W PSU / desktop
Built for fast hardware decisions and deployment timelines.
The supply process is structured around model matching, availability checks, configuration compatibility, and logistics coordination for GPU and optical module orders.
From requirement to ready-to-ship specification.
A practical workflow keeps inquiries specific, comparable, and ready for technical review.
01
Define workload and tier
Identify consumer or enterprise class, preferred NVIDIA or AMD platform, performance tier, quantity, budget band, and target delivery window.
02
Validate platform fit
Check GPU dimensions, power, cooling, driver expectations, server chassis constraints, optical module form factor, and link requirements.
03
Confirm quote and logistics
Align availability, commercial terms, packing needs, shipment route, and post-sale technical support contact before order execution.
Direct contact
Discuss GPU sourcing, server optics, and deployment compatibility.
Send workload details, preferred platform, target model class, quantity, and timeline for a focused response.