ZackC

Birder/Photographer | EE @ Waterloo | 18

[ZackC @zackC_EE]

hello world

[ZackC @zackC_EE]

@aayanr07 @vercel @AnthropicAI @GoogleDeepMind

[Aayan Rahman @aayanr07]

I built a clinical genomics pipeline this weekend that no existing clinical tool uses yet for V0 zero to agent.
AlphaGenome + Claude + Vercel
@vercel @AnthropicAI @GoogleDeepMind

[ZackC @zackC_EE]

Soldering session debrief:

-Most passives soldered successfully

-One 0603 100nF cap lost to the void o7

-Regreting not toggling thermal relief for GND pads 🙈

More work to do tmrw 🫡

(Budget soldering station don't flame me 😂😭)

[ZackC @zackC_EE]

@anirudhbv_ce 🙈🙈

[ZackC @zackC_EE]

man's made it out

[ani @anirudhbv_ce]

I implemented @GoogleResearch's TurboQuant as a CUDA-native compression engine on Blackwell B200.

5x KV cache compression on Qwen 2.5-1.5B, near-loseless attention scores, generating live from compressed memory.

5 custom cuTile CUDA kernels ft:
- fused attention (with QJL corrections)
- online softmax
-on-chip cache decompression
- pipelined TMA loads

Try it out: https://t.co/m5vkJxWIY6

s/o @blelbach and the cuTile team at @nvidia for lending me Blackwell GPU access :)

cc @sundeep @GavinSherry

[ZackC @zackC_EE]

@anirudhbv_ce @huggingface From cooking in the dorm to cooking in the computer. G.O.A.T

[ani @anirudhbv_ce]

pip install turboquant-gpu

5.02x KV cache compression for ANY GPU (RTX, H100, A100, B200)

- works over @huggingface transformers

- dead-simple API: compress + generate in 3 lines

- 3-bit Lloyd-Max fused KV compression (0.98 cosine similarity)

- outperforms MXFP4 (3.76x) and NVFP4 (3.56x) on compression

Ran Mistral-7B: 1,408 KB → 275 KB KV cache (5.02x)

Quickstart: https://t.co/7Arml3at79

Written in cuTile (CUDA 12, 13) with PyTorch fallbacks

[ani @anirudhbv_ce]

I implemented @GoogleResearch's TurboQuant as a CUDA-native compression engine on Blackwell B200.

5x KV cache compression on Qwen 2.5-1.5B, near-loseless attention scores, generating live from compressed memory.

5 custom cuTile CUDA kernels ft:
- fused attention (with QJL corrections)
- online softmax
-on-chip cache decompression
- pipelined TMA loads

Try it out: https://t.co/m5vkJxWIY6

s/o @blelbach and the cuTile team at @nvidia for lending me Blackwell GPU access :)

cc @sundeep @GavinSherry

[ZackC @zackC_EE]

No idea what this means but if Anirudh did it, then it must be amazing!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

[ani @anirudhbv_ce]

I implemented @GoogleResearch's TurboQuant as a CUDA-native compression engine on Blackwell B200.

5x KV cache compression on Qwen 2.5-1.5B, near-loseless attention scores, generating live from compressed memory.

5 custom cuTile CUDA kernels ft:
- fused attention (with QJL corrections)
- online softmax
-on-chip cache decompression
- pipelined TMA loads

Try it out: https://t.co/m5vkJxWIY6

s/o @blelbach and the cuTile team at @nvidia for lending me Blackwell GPU access :)

cc @sundeep @GavinSherry

[ZackC @zackC_EE]

@anirudhbv_ce @Matthew_Wu_ shipping from china takes too long unfortunately😓

[Matthew Wu @Matthew_Wu_]

My 6-axis robotic arm controller PCB that I designed back in high school.

The v2 specs:
- 4-layer board, 12A max current
- Dual ESP32 + STM32 integration
- Custom op-amp servo feedback
- Optimized for thermals & signal integrity
- Fully validated

But getting to this point wasn't easy. I learned a lot the hard way.

v1 had major signal integrity issues that forced me to cut traces, add bodge wires, and do a ton of messy rework just to get basic functionality.

But that board forced me to learn:
power distribution, spacing, layout discipline, and hot loop control.

Now that exact stuff is the foundation for the RF + power electronics boards I design at UWaterloo.

[ZackC @zackC_EE]

@blind_via 🙈

[ZackC @zackC_EE]

all great things start in ones garage

[ZackC @zackC_EE]

@willreil 0201? 😳

[ZackC @zackC_EE]

@skydotcs hello sky

[ZackC @zackC_EE]

hello world