35 min read
TPU Inference Externalization Full Steam Ahead
InferenceX, Up to 50% Better Performance per Dollar, Rapid Externalization of TPU stack, Growing Customer Base, Ironwood, TPUv8i, Reducing CUDA Moat
- benchmark
- inference
- tpu
- +7
InferenceX Research
Articles
Benchmark write-ups on agentic inference, AgentX results, and chip and serving-stack economics.
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Tagged “b300”
8 articles
3 min read
DeepSeek V4 Pro on AgentX: B200 vs B300 and the KV Cache Working Set
50% more HBM squeezes out extra throughput, and the per-point telemetry shows exactly where it comes from
- agentx
- agentic
- benchmark
- +6
2 min read
GLM 5.3 on AgentX: NVIDIA Is Up to 5x Cheaper per Token at 150 tok/s/user
At this operating point, free AMD silicon would still not close the gap
- agentx
- agentic
- benchmark
- +8
3 min read
MiniMax M3 on AgentX: Why B200 and B300 Beat Their Rack-Scale GB200 NVL72 & GB300 NVL72 Counterparts
The Dynamo router becomes the bottleneck, no submission runs context parallelism, and AMD leaves KV offload on the table
- agentx
- agentic
- benchmark
- +10
2 min read
MiniMax M3 on AgentX: B300 TRT-LLM TP2 Owns the Crown
NVIDIA sweeps the 432B model, and the missing DP-attention points explain why cache locality became a routing constraint
- agentx
- agentic
- benchmark
- +8
2 min read
Qwen3.5 397B on AgentX: B300 FP4 Delivers 12x the Performance per Dollar of H100
What four years of hardware and a 4-bit format buy on a long-context agentic workload
- agentx
- agentic
- benchmark
- +9
23 min read
Kimi K3: The Manos, The Mythos, The Legendos
Kimi K3's architecture: compressed memory, attention across depth, latent expert routing, and serving performance
- inference
- benchmark
- gpu
- +6
29 min read
DeepSeekV4 1.6T Day 0 to Day 43 Performance Over Time — Huawei, GB300 NVL72, MI355X, B200
Day 0 Inference Performance, InferenceX, 100x performance improvement in 26 Days, Cost per Million Tokens, Huawei 950DT Inference Trace Analysis
- benchmark
- gpu
- inference
- +13