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Berkan SesenApr 26, 2026 • 13 min read
Hierarchical Bayesian Regression with PyMC: When Groups Share Strength
A multi-line insurer writes auto, home, commercial property, and a dozen other policy types under on...
#bayesian#probabilistic#inference#pymc
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Gabriel AnhaiaApr 26, 2026 • 7 min read
Muse Spark beats Llama 4 with 10x less compute. Here's how.
Muse Spark hits Llama 4 Maverick capability at one-tenth the compute. Here's the architecture trick ...
#ai#llm#architecture#inference
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ANKUSH CHOUDHARY JOHALApr 28, 2026 • 12 min read
We Cut LLM Inference Time by 60%: Optimizing Llama 3.1 70B with TensorRT 10.0 and AWS Inferentia 3.0
When our Llama 3.1 70B inference pipeline hit a p99 latency of 2.8 seconds and $42k monthly AWS...
#inference#time#optimizing#llama
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ANKUSH CHOUDHARY JOHALApr 29, 2026 • 17 min read
LLM Inference Optimization: How to Use vLLM 0.6 and TensorRT 9.0 for 2x Throughput
\n If your LLM serving stack is stuck at 120 tokens/sec per A100, you’re leaving 50% of your...
#inference#optimization#vllm#tensorrt
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ANKUSH CHOUDHARY JOHALApr 28, 2026 • 16 min read
Internals: How Ollama 0.5 Local LLM Inference Works with Llama 3.1 and Quantization for Offline Use
In Q3 2024, 68% of enterprise developers reported latency spikes when running cloud-hosted LLMs for....
#internals#ollama#local#inference
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ANKUSH CHOUDHARY JOHALApr 28, 2026 • 14 min read
vLLM 0.5 vs. Modal 0.60: LLM Inference Cost for 1000 RPM Workloads
At 1000 requests per minute (RPM), LLM inference costs can swing by 62% between self-hosted vLLM 0.5...
#vllm#modal#inference#cost
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ANKUSH CHOUDHARY JOHALApr 27, 2026 • 0 min read
We Cut LLM Inference Costs by 50% Using AWS Inferentia 3 and Claude 3.5 Sonnet in 2026
A post by ANKUSH CHOUDHARY JOHAL
#inference#costs#using#inferentia
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ANKUSH CHOUDHARY JOHALApr 28, 2026 • 14 min read
Retrospective: How We Cut LLM Inference Costs by 50% Using vLLM 0.4 and Graviton4
When our p99 LLM inference latency hit 2.1 seconds and monthly AWS bills crossed $42,000 for a 7B...
#retrospective#inference#costs#using
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