metax-c500
Source details
Source revision: fad73374f1525d9417d3c07660f218b4628290b8521ca400e33f61a59a4b8852
MetaX · Data center · Accelerator card
MetaX C500 64GB GPGPU
Exact C500 reference specifications and AI deployment guidance, separated from FusionPointAI commercial inventory.
VRAM64 GB
Memory technologyHBM2e ECC
Form factorFull height · Full length · Dual slot · PCIe · Accelerator
InterfacePCIe
Power350 W
Current
Reference only
Product images
Specifications
| Field | Value |
|---|---|
| Manufacturer | MetaX |
| Exact SKU | C500 |
| Product family | MetaX C500 |
| Architecture | MetaX Core |
| Generation | C-Series Data Center |
| Entity type | Accelerator card |
| Lifecycle | Current |
| Launch date | Not listed |
| VRAM | 64 GB |
| Memory technology | HBM2e ECC |
| Memory bandwidth | Not listed |
| Power | 350 W |
| Interface | PCIe |
| Form factor | Full height · Full length · Dual slot · PCIe · Accelerator |
| Interconnect | MetaXLink |
| MIG / partitioning | Not supported |
| Supported numeric formats | FP64, FP32, BF16, FP16, INT8 |
| Software stack | mxmaca, pytorch |
AI workload suitability
LLM inference
Best suited to smaller checkpoints, compressed models or distributed configurations sized by the recommendation engine.
Fine-tuning and training
Designed for sustained accelerator workloads; training suitability depends on interconnect, precision and cluster topology.
Image, video and embeddings
FP16 acceleration supports common generative and vector workloads within the listed VRAM envelope.
Power and cooling
350 W published power requires chassis, airflow and power delivery for this exact form factor.
Multi-GPU use
MetaXLink is the recorded interconnect path; topology must still be validated at node level.
Software ecosystem
mxmaca, pytorch
Product timeline
Technical diagrams
This is not a product photograph.
Related models
Official manufacturer source
https://www.metax-tech.com/en/goods/prod.html?cid=107&id=21
Last verified: 2026-08-24