NVIDIA · Legacy data center · Board
NVIDIA Tesla K80 24GB
Exact K80 reference specifications and AI deployment guidance, separated from FusionPointAI commercial inventory.
Legacy
Reference only
Verified technical specifications
| Manufacturer | NVIDIA |
|---|---|
| Exact SKU | K80 |
| Product family | NVIDIA K80 |
| Architecture | Kepler |
| Generation | Tesla Legacy |
| Entity type | Board |
| Lifecycle | Legacy |
| Launch date | The manufacturer has not published this information. |
| VRAM | 24 GB |
| Memory technology | GDDR5 |
| Memory bandwidth | 480 GB/s |
| Power | 300 W |
| Interface | PCIe Gen3 x16 |
| Form factor | Dual GPU · PCIe · Accelerator |
| Interconnect | PCIe |
| MIG / partitioning | Not supported |
| Supported numeric formats | FP64, FP32, FP8, INT8, FP4 |
| Software stack | cuda, vllm, sglang, tensorrt-llm |
AI workload suitability
LLM inference
Best suited to smaller checkpoints, compressed models or distributed configurations sized by the recommendation engine.
Fine-tuning and training
Suitable for limited fine-tuning and development when software support, cooling and memory capacity are verified.
Image, video and embeddings
Confirm framework and precision support before deployment.
Power and cooling
300 W published power requires chassis, airflow and power delivery for this exact form factor.
Multi-GPU use
PCIe is the recorded interconnect path; topology must still be validated at node level.
Software ecosystem
cuda, vllm, sglang, tensorrt-llm
Product timeline
Official manufacturer source
Last verified: 2026-08-24