Would you buy 2x CMP 100-210 for AI if you already had a P100, another P100 planned, and an M40?

I am building a Dell Precision 7820 AI workstation/homelab and would like some advice before buying 2x NVIDIA CMP 100-210 cards.

Current hardware:

Dell Precision 7820

112GB ECC RAM

950W PSU (looking for the 1400W version)

NVIDIA Tesla P100 16GB (just arrived)

Planning to buy a second Tesla P100 16GB

NVIDIA Tesla M40 24GB (already purchased)

NVIDIA P2200 for display/output

AMD WX2100 for additional displays

Dell MegaRAID 9440-8i

2x Dell Seagate ES.3 4TB SAS drives

Additional SAS storage planned

NVMe SSD upgrade planned (1TB or 2TB)

Ubuntu/Linux will be the primary OS

Primary workloads:

Local LLMs

RAG systems

Automotive knowledge base

Embeddings

OCR

Multi-agent automation

Marketing automation

Stable Diffusion

Image generation

Some video generation

I recently found 2x NVIDIA CMP 100-210 16GB HBM2 cards for about $250 total.

My concern is that I have read conflicting information regarding these cards:

PCIe lane limitations (x1 vs x16)

Firmware modifications

CUDA compatibility

Long-term support

Real-world AI performance

Considering I already have:

P100 16GB

Second P100 planned

M40 24GB

Would you buy the 2x CMP 100-210, or would you invest that money elsewhere (NVMe, storage, PSU upgrade, etc.)?

If anyone has hands-on experience running CMP 100-210 cards for AI workloads (PyTorch, Ollama, vLLM, Stable Diffusion, LLM inference), I would really appreciate your feedback.

Thanks!