Update latest news (#378)

* Update latest news

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docs/source/blogs/H100vsA100.md

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+> :bangbang: :new: *NVIDIA H200 has been announced & is optimized on TensorRT-LLM. Learn more about H200, & H100 comparison, here:* [**H200** achieves nearly **12,000 tokens/sec on Llama2-13B** with TensorRT-LLM](./H200launch.md)
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 # H100 has 4.6x A100 Performance in TensorRT-LLM, achieving 10,000 tok/s at 100ms to first token.
 
 TensorRT-LLM evaluated on both Hopper and Ampere shows **H100 FP8 is up to 4.6x max throughput and 4.4x faster 1st token latency than A100**. H100 FP8 is able to achieve over 10,000 output tok/s at [peak throughput](https://nvidia.github.io/TensorRT-LLM/performance.html#h100-gpus-fp8) for 64 concurrent requests, while maintaining a 1st token latency of 100ms.  For [min-latency](https://nvidia.github.io/TensorRT-LLM/performance.html#id1) applications, TRT-LLM H100 can achieve less than 10ms to 1st token latency.