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AI chip · Tesla

Tesla HW4 (FSD Computer 2)

Tesla's second-generation in-vehicle FSD compute board (2023-present); shipping in every new Model S/3/X/Y as the AV inference substrate. Believed fabricated by Samsung Foundry.

Powers 3 tracked robots.

Market position

The FSD Computer 2 chip Tesla shipped in every Model S/3/X/Y/Cybertruck from 2023 onward: dual Samsung 7nm SoCs, ~300 TOPS. Superseded by HW5 (AI5) in the Cybercab. Every Tesla Robotaxi vehicle on the road today runs HW4.

What fits in 16 GB

Which open-source LLMs run on one Tesla HW4 (FSD Computer 2), by precision. Weights only: add roughly 15% headroom for real serving. If a model does not fit at FP16, try INT8 or INT4 (smaller quality trade-off than most people expect).

ModelParamsFP16INT8INT4
Llama 3.1 8B
dense
8 B16 GB ✓8 GB ✓4 GB ✓
Llama 3.1 70B
dense
70 B140 GB ✗70 GB ✗35 GB ✗
Llama 3.1 405B
dense
405 B810 GB ✗405 GB ✗203 GB ✗
Llama 3.3 70B
dense
70 B140 GB ✗70 GB ✗35 GB ✗
DeepSeek V3
MoE (671B total, 37B active per token)
671 B1342 GB ✗671 GB ✗336 GB ✗
DeepSeek R1
MoE (671B total, 37B active per token)
671 B1342 GB ✗671 GB ✗336 GB ✗
Qwen 2.5 7B
dense
7 B14 GB ✓7 GB ✓4 GB ✓
Qwen 2.5 72B
dense
72 B144 GB ✗72 GB ✗36 GB ✗
Mixtral 8x7B
MoE (46.7B total, 12.9B active per token)
46.7 B93 GB ✗47 GB ✗23 GB ✗
Mixtral 8x22B
MoE (141B total, 39B active per token)
141 B282 GB ✗141 GB ✗71 GB ✗
Gemma 2 27B
dense
27 B54 GB ✗27 GB ✗14 GB ✓
Command R+
dense
104 B208 GB ✗104 GB ✗52 GB ✗
Kimi K2
MoE (1T total, 32B active per token)
1000 B2000 GB ✗1000 GB ✗500 GB ✗

Math: FP16 = params × 2 bytes; INT8 = params × 1 byte; INT4 = params × 0.5 bytes. MoE models sum every expert (full weights on disk), not the per-token active subset.

Common questions

How much does Tesla HW4 (FSD Computer 2) cost?

Tesla HW4 (FSD Computer 2) doesn't have a public launch list price. Vendors like this one usually price through direct sales rather than a public sheet. See list price per TFLOP for chips that do publish.

How much memory does Tesla HW4 (FSD Computer 2) have?

16 GB of GDDR6. Straight from the vendor datasheet. See chips with the most memory for context.

How much power does one Tesla HW4 (FSD Computer 2) draw?

90 W at the chip. A full server draws more once you add CPU, memory, networking and cooling: see the rack power number above. Compare to other chips on perf-per-watt.

What runs on Tesla HW4 (FSD Computer 2)?

3 robot models we track use this chip, including Tesla Robotaxi (Model Y ADS), Tesla Optimus and Cybercab. Full list below.

Which open-source LLMs fit on one Tesla HW4 (FSD Computer 2)?

Of 13 open-source LLMs we track, 2 fit at FP16, 2 at INT8, and 3 at INT4 (for example Llama 3.1 8B, Qwen 2.5 7B and Gemma 2 27B). Full table above with each model's memory need.

See every answer we publish →

Key facts

Class
Compute SoC (AI accelerator)
Designer
Tesla
Safety-critical?
Yes (embedded / automotive)
Record as of
2026-09-27
Specifications (7 fields, click to expand)

Straight from the vendor datasheet. Dense throughput shown first; sparse (2:4) numbers in parentheses where the vendor publishes them. Full datasheet linked below.

Process node
Samsung 7LPP
TDP
90 W
Memory
16 GB GDDR6
INT8 (dense)
300 TOPS
Form factor
Auto-board (dual-SoC)
Announced
2023-01-01
Released
2023-02-01

Source: vendor datasheet

Foundry & process

Fabbed at
Samsung Foundry (all chips Samsung Foundry makes →)
Process node
Samsung 7LPP

Compare with

See every chip comparison →

Robots running Tesla HW4 (FSD Computer 2)

Every robot model publicly known to ship Tesla HW4 (FSD Computer 2) inside it. Ranked by how widely each has been deployed.

ModelMakerForm factorRoleSourceDeployments
Tesla Robotaxi (Model Y ADS)TeslaavFSD Computer 2 (dual-SoC)reported13
Tesla OptimusTeslahumanoidprimary inference computereported6
CybercabTeslaavprimary inference computereported1

Sources

Adoption rows appear as we confirm each chip-in-robot pairing from a public source. See every chip we track for the full catalog or the Tesla page.