Enabling AI coding agents and agentic workflows to generate 2,500 tokens per second per request (vs ≈ 100 tok/s for ChatGPT)
>The problem
Deep reasoning.
Instant results.
Longer Chain-of-Thoughts improves accuracy. The research confirms it, and the scaling laws back it up.
The infrastructure to deliver that reasoning depth at product speed did not exist. Kog built it.
Your agents now think longer, answer better, and respond before the wait becomes friction.
vs
/ cycle
Standard latency
Draft
Refine
Test
Lint
/ cycle
Kog Velocity
>The Solution
25 refinement loops.
One standard run
From 5 minutes to 12 seconds
>our Technology
The Kog Inference Engine
A hardware-software co-design built to run the GPU at its absolute ceiling. Every layer is optimized for one outcome, compute that runs without interruption.
Kog Communication
Library (KCCL)
We replaced standard communication layers (RCCL) to unlock linear scaling for tensor parallelism across high-end GPUs.
KCCL
NCCL (new)
RCCL
NCCL (old)
Latency (µs)
30
25
20
15
10
5
0
10000
12500
15000
17500
20000
Operation Size (Bytes)
Inter-device communication is delayed by one layer. Compute runs continuously. The generation sequence completes without a single synchronization pause.
Hardware-native
Precise access patterns reduce latency for device-wide primitives. Topology-aware algorithms steer every memory access toward its optimal physical location on the GPU. Most frameworks guess. Kog knows.
Zero Friction
A drop-in replacement for vLLM. No code refactoring required. Fully compatible with your existing container ecosystem."
Container
vLLM Interface
Compatible with your current containers and vLLM Interface
>The proof
Same Silicon,
Same Model,
x
faster
We pitted the Kog Inference Engine (KIE) against the industry standard (vLLM or TensorRT-LLM).
The result? Up to 3.5x on AMD instinct, faster generation on identical workloads. KIE extracts the raw physics of the GPU where standard frameworks hit a software ceiling.
Velocity
1,368 tokens per second on Llama-3 8B, decode speed optimized for sequential generation.
>
tokens/s
vLLM
Kog
>The UNFAIR advantage
Run your workload at a speed your competitors will spend months trying to match.
>The Team
Deeply Technical DNA
A high-density team of PhDs, GPU and Research Engineers
who treat hardware limits as a starting point.
Engineers
PhDs
Nationalities
