Nikhil K. PRO

hexgridcloud's activity

• All
• Models
• Datasets
• Spaces
• Buckets
• Papers
• Collections
• Community
• Posts
• Upvotes
• Likes
• Articles

updated a Space 5 days ago

Running

README

🌍

published a Space 5 days ago

Running

README

🌍

updated a Space about 1 month ago

Configuration error

README

🚀

published a Space about 1 month ago

Configuration error

README

🚀

upvoted an article about 1 month ago

view article

Article

Qwen3.6-27B-FP8 on One RTX 6000 Ada: Fast TTFT, 314 tok/s Decode Generation [Benchmark]

• 

hexgridcloud

•

Jul 6

• 1

published an article about 1 month ago

view article

Article

Qwen3.6-27B-FP8 on One RTX 6000 Ada: Fast TTFT, 314 tok/s Decode Generation [Benchmark]

• 

hexgridcloud

•

Jul 6

• 1

New activity in google/gemma-4-31B-it about 1 month ago

Benchmarked on HexGrid Cloud : Gemma-4 31B + vLLM + RTX 6000 PRO : 1168 tokens/sec and still asking for more...

🚀 1

#123 opened about 1 month ago by

hexgridcloud

upvoted an article about 2 months ago

view article

Article

Gemma-4 31B + vLLM on RTX 6000 PRO : A Real-Load Benchmark

• 

hexgridcloud

•

Jun 29

• 4

published an article about 2 months ago

view article

Article

Gemma-4 31B + vLLM on RTX 6000 PRO : A Real-Load Benchmark

• 

hexgridcloud

•

Jun 29

• 4

New activity in Qwen/Qwen3.5-9B about 2 months ago

Deployed on HexGrid Cloud: 1x RTX 5090 + Qwen3.5 9B BF16 — 1280 tok/s peak, then TTFT goes from 0.7s to 18s, ShareGPT, concurrency 16–128

👍 1

#58 opened about 2 months ago by

hexgridcloud

updated 3 collections 2 months ago

One-click LLM deployments on Private GPU

Collection

Every model deployable on HexGrid Cloud with one click. Dedicated GPU, private API endpoint, OpenAI-compatible. Visit https://hexgrid.cloud • 10 items • Updated Jun 7

Best Open-Source Coding LLMs for Private Deployment

Collection

Code generation, debugging, review, and test writing. All deployable privately on dedicated GPUs at hexgrid.cloud • 3 items • Updated Jun 7

Production-Ready Quantized Chat LLMs — 4-bit & 8-bit

Collection

FP8, AWQ-4Bit and W8A8 quantized versions of popular models. Lower VRAM, same production quality. Deploy at hexgrid.cloud in one click. • 9 items • Updated Jun 7