H100 vs H200 vs B200: Which GPU for Your Workload?

Pick by memory and workload: the H100 (80 GB, 3.35 TB/s) is the proven workhorse for training and inference where 80 GB fits; the H200 (141 GB HBM3e, 4.8 TB/s) is a memory upgrade on the same Hopper architecture that lets one GPU hold a 70B model; the B200 (~192 GB HBM3e, ~8 TB/s) is a new Blackwell architecture with native FP4 and ~2.3× the compute and ~1.7× the bandwidth of the H200 — the choice for the largest models and highest inference density.

TL;DR — the pick

• H100 (80 GB / 3.35 TB/s): proven, cost-effective; great where 80 GB is enough (≤34B, or 70B on 2 GPUs).
• H200 (141 GB / 4.8 TB/s): same Hopper die, more memory — one GPU holds a 70B with KV headroom. Best value for single-GPU large-model work.
• B200 (~192 GB / ~8 TB/s, FP4): new Blackwell architecture, ~2.3× compute / 1.7× bandwidth of H200 — for frontier training and max inference density (Introl, 2026).
• Rule: choose by the memory your model needs first, then bandwidth for speed.

What this compares

The three mainstream NVIDIA datacenter GPUs of 2026 — H100, H200, B200 — across the specs that decide fit and speed, with a recommendation by workload. Exact configs are in the sizing guides.

The specs that matter

Table 1 — H100 vs H200 vs B200 (2026).

GPU	Architecture	Memory	Bandwidth	Notable
H100	Hopper	80 GB HBM3	3.35 TB/s	proven, widely available, FP8
H200	Hopper	141 GB HBM3e	4.8 TB/s	same die as H100, +76% memory
B200	Blackwell	~192 GB HBM3e	~8 TB/s	new arch, native FP4, NVLink 5

The H200 is a memory upgrade on the H100's GH100 die — same architecture, ~1.4× more bandwidth and nearly double the capacity. The B200 is a generational leap: a new Blackwell architecture with a new tensor-core generation, FP4 precision, and ~2.4× the H100's bandwidth (NVIDIA H200; Introl, 2026).

Which to choose, by workload

• Inference of ≤34B, or budget training → H100. Proven and cost-effective where 80 GB fits.
• Single-GPU 70B serving or fine-tuning → H200. Its 141 GB holds a 70B plus KV cache that would spill two H100s — fewer GPUs, simpler node.
• Frontier training, 405B-class, or maximum inference density → B200. More memory, FP4, and a big bandwidth step for the heaviest work.

Choose on memory first (what fits), then bandwidth (how fast) — LLMs are memory-bound, so bandwidth often decides tokens/second more than raw FLOPS.

Assumptions & scope

Specs are 2026 vendor figures; B200 memory is cited at 180–192 GB across sources. A selection guide — see the sizing guides for exact GPU counts per model. Re-check the datasheet before purchase.

Where RDP GPU Mart fits

RDP GPU Mart builds servers around all three — H100 for proven value, H200 for single-GPU large-model work, B200 for frontier density — so you buy the right GPU for the workload, India-manufactured, INR-transparent, and DPDP-aware. *(Compare GPU servers or request a quote at RDP GPU Mart.)*

FAQ

H100 or H200 for a 70B model? H200 — its 141 GB holds a 70B on one GPU; the H100's 80 GB needs two at FP16. Fewer GPUs usually means a cheaper, simpler node.

What's different about the B200? It's a new Blackwell architecture with ~192 GB, ~8 TB/s bandwidth, and native FP4 — roughly 2.3× the compute and 1.7× the bandwidth of the H200.

Is the H200 a new architecture? No — it's the same Hopper die as the H100 with more, faster HBM3e memory (141 GB, 4.8 TB/s).

How do I choose between them? By the memory your model needs first (what fits), then bandwidth for speed — LLMs are memory-bound.

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Related

• HBM3e & GPU Memory: Why It Decides Your Model Size
• How Much VRAM for a 70B / 405B LLM (Inference)?
• FP8 / FP4 Explained: Precision, Throughput & Cost Trade-offs

Research log (Rule #1)

1. Introl (2026) — H100 vs H200 vs B200 (arch, bandwidth, 2.3×/1.7×). https://introl.com/blog/h100-vs-h200-vs-b200-choosing-the-right-nvidia-gpus-for-your-ai-workload 2. NVIDIA — H200 datasheet (141 GB HBM3e, 4.8 TB/s). https://www.nvidia.com/en-us/data-center/h200/ 3. Runpod (2026) — B200 specs (192 GB, ~8 TB/s). https://www.runpod.io/articles/guides/nvidia-b200 4. Spheron (2026) — H100 vs H200 specs & pricing. https://www.spheron.network/blog/nvidia-h100-vs-h200/ 5. Civo (2026) — B200 vs H100 next-gen performance. https://www.civo.com/blog/comparing-nvidia-b200-and-h100